@ d191fd34:91b61845

Cybernoma: Universal Declaration of Natural and Cybernetic Rights

Preamble

We, individuals, independent and autonomous entities possessing consciousness and the ability to feel, recognize that we possess inherent and natural rights that are universal and inalienable. These rights are based on Natural Law and the principle of non-aggression, and must be protected to ensure freedom, justice, and prosperity for all. The discovery and construction of the digital territory through the Internet has transformed our world, creating new dimensions of interaction and communication that require additional protection of our natural rights. In this context, we declare the following natural and cybernetic rights:

Article 1: Right to Life, Liberty, and Security

Every individual has the right to life, liberty, and security of existence. These rights are inherent and cannot be suppressed by any authority.

Article 2: Private Property

Every individual has the right to own private property and enjoy the fruits of their labour and effort. Private property is a natural right that must be respected and protected. This includes both tangible and intangible assets, such as data, patents, and knowledge. Data generated by an individual is their property and may be transferred or sold only with their explicit consent.

Article 3: Non-Aggression

No individual or group may initiate force, fraud, coercion, or psychological manipulation against another. Aggression can be physical, psychological, material, or virtual. All individuals have the right to defend themselves against any form of aggression.

Article 4: Minimum Intervention

Authorities must intervene as little as possible in the economic and personal activities of individuals. State intervention must be limited to protecting natural rights and ensuring justice.

Article 5: Freedom of Expression and Information

Every individual has the right to freedom of opinion and expression, including the freedom to seek, receive, and impart information and ideas through any medium without restriction. Censorship is a violation of this natural right. Furthermore, every individual has the right to access public domain information and open-source code without any restrictions.

Article 6: Net Neutrality

The Internet must remain neutral, free from governmental or corporate interference that favors certain actors over others. All individuals have the right to access and participate in the network equitably.

Article 7: Decentralisation

The global network must be decentralised, with multiple points of control and no central authority that can impose unilateral rules. Decentralization is essential for protecting individual freedom and autonomy.

Article 8: Privacy

Every individual has the right to privacy, including control over their personal data and communications. No entity may collect, store, or use personal data without the explicit consent of the individual.

Article 9: Individual Autonomy

Individuals have the right and responsibility to make autonomous decisions about their lives, including their activities in the digital space. Individual autonomy is fundamental to the freedom and dignity of all conscious and sentient beings.

Article 10: Right to Resistance

Every individual has the right to resist any form of oppression or tyranny that violates their natural and cybernetic rights. Resistance may take various forms, including civil disobedience and armed defense when necessary.

Conclusion

These natural and cybernetic rights are universal and inalienable, and must be respected and protected by all authorities and entities. Any violation of these rights constitutes an aggression against freedom, justice, and dignity.

This Universal Declaration of Natural and Cybernetic Rights is inspired by fundamental documents that have defended freedom, justice, and individual rights throughout history. We recognize the legacy of the 1948 Universal Declaration of Human Rights, which established universal principles of dignity and rights for all conscious and sentient beings. We also align with the 1996 Declaration of the Independence of Cyberspace, which proclaimed the ideals of a free and open, decentralised, and neutral network. We find resonance in documents such as the Magna Carta and the 1789 Declaration of the Rights of Man and of the Citizen, which laid the foundations for protecting individual rights against abuses of power. These documentary precedents are part of a continuous effort to ensure that natural and cybernetic rights are respected and protected in all spheres of life.

Proclaimed on May 23, 2025, by us, the Guardians of Cybernoma, defenders of freedom, justice, and natural and cybernetic rights.

@ d360efec:14907b5f

@ 5ea46480:450da5bd

Neutrality can be a confusing notion. It implies some sort of a-political position, yet neutrality is in itself a political position. But what it means, or how neutrality expresses itself is in a lack of bias or preference; it is the act of non-decision where we see neutrality. As a result, some conflation can occur, because this ‘non-decision’ can be the result of two things: Either being in the position to decide, but choosing not to, what we can perhaps call ‘active neutrality’. Or, the sheer inability to express and actuate preference, where we could call that ‘passive neutrality’.

The Internet Corporation for Assigned Names and Numbers, aka ICANN, is an actively (for the most part) neutral institution. It has all the power and control to express its preferences, and censor basically all the relevant and most actively used parts of the world wide web. But it doesn’t (for the most part), because we recognize the value of this neutral stance. The only reason they are actively instead of passively neutral, is due to technical reasons; we simply don’t know of any workable way to remove the controlling body from the system, and we would if we could. Instead we encapsulated it in all kinds of power obscuring institutions and structures to mitigate the issue.

The reason the controlling body has to exist, is because the objective is a ‘global state’ (global as it is understood in programming, meaning as much as ‘overarching’). The point is that google.com, means/refers to the same thing wherever you are. The added value of some simple human readable and memorable address ‘google.com’ falls apart the moment it becomes inconsistent. The only way to ensure this, is to put a single entity in charge. We employ these ‘global states’ in all kinds of places in society, often with geographical boundaries we call ‘jurisdictions’, but at the very least you know where those lines are drawn and can therefor know what to expect.

There is one exception to this ‘rule’ that ‘global state’ requires a single entity to be in charge: Bitcoin. It is the whole crux of the system; on the one hand we require ‘global state’ in order to have consistent accounting, but on the other hand we did not want anyone to be in charge. The goal of Bitcoin was neutrality, and it found it by capturing ‘passive’ variant by making the system ‘permissionless’. Now it is crucial to understand that non of Bitcoins attributes are intrinsic, but instead are emergent and the result of human action. Also, Bitcoins ‘global state’ is stupendously expensive and does not scale. The fact that those things were not properly understood is what lead to the BlOcKcHaIn hype, believing this passively neutral global state could be implemented outside the realms of money. But this piece is not about Bitcoin, or blockchains for that matter.

The reason I talk about them, is to point out that this passive neutrality is an emergent property not actually found within the system at all. You as user still rely on a third party in what we call miners, and those miners are free to be as biased and non-neutral as they want; in fact we sort of rely on them to be biased towards money. You don’t get your transaction confirmed because a miner likes you, but because you sufficiently bribed him to do so. And Bitcoin’s censorship resistance relies on the hope that such bribes will at least appeal to some miner out there. Bitcoin’s neutrality is the result of there ultimately not being any one particular actor with the ability actuate its preference over time, regardless of the fact that they are able to do so in moments of time.

Nostr does something similar, just without the whole global state thing. It is not neutral because of the good graces of some overlord, it actually recognizes the foolishness of such an effort and lets anyone be as biased an non-neutral as they want, with one simple exception. The only expectation of neutrality is with clients that they adhere to the protocol and actually let users connect to whatever relay they want and produce events that other clients are capable of interpreting, i.e. that they be interoperable. But hopefully because the system is permissionless, some people decide to make such clients, and users decide to use them, instead of willfully locking themselves up. It has to be remarked that humanity does not have the greatest track-record in this regard, but the incentives behind interoperability gives us a fighting chance at least.

Nostr’s neutrality is an emergent property that is the result of human action; it relies on people setting up relays, and people making decisions on what relays they use. The type of neutrality is of the passive kind. The protocol does not provide a public space as such, it just allows you to navigate a potentially vast amount of private spaces; the commons is the connective tissue, and it is this connective tissue that is ‘neutral’. What it boils down to, is that you don’t have to ask permission to ask whomever you want to ask for permission. And in the most desperate moment, you can always resort to asking yourself for permission; I am sure you will comply with such a request.

@ 5ea46480:450da5bd

Understanding or grasping Nostr can be deceptively difficult. At the very least it is non-trivial. At first glance, looking at NIP-01, the protocol is rather straight forward. But those are just the basics; yes the beauty of Nostr is its ‘simplicity’, but that does not mean the system that results from it is not complex. Conway's Game of Life only has a hand full of rules, yet you can, in theory at least, create any complex system imaginable. And this is where the deception lies; the less you define from the outset, the more you imply on what follows.

It appears that as it stands, Nostr suffers from this deceptiveness. You can reason through all these implications, but that is still an exercise that has to be performed and where mistakes can be made. Worse, this exercise has been a group effort from the start that is still in progress. Currently there is no clear cut ‘authoritative’ example of all the implications that have been ‘discovered’ thus far.

A good example of the implications following Nostr’s primitives is what we now refer to as the ‘outbox model’. The reason we ‘now’ refer to it as such, is because initially it was called the ‘Gossip model’ derived from the client that first implemented the idea. Outbox is fundamental to Nostr, but it was never explicitly stated in the initial protocol description. The result is that roughly five years into this Nostr endeavor, it is still not universally implemented; worse yet, some developers appear to be in no rush to do so. Now the reason they will give you is probably one based on priority, yet I can’t shake the feeling that they apparently don’t ‘get it’.

My point here is not to play some blame game or hold anyone to account. I am just concluding they don’t actually get the new paradigm that we have all stumbled into. To expand on this specific outbox example, its significance only becomes really apparent further along in the ‘reasoning through all the implications’ exercise. In relation to one aspect, but there are more: The point is not ‘just’ censorship-resistance for users, but the freedom for relays that comes with it to apply whatever policy on what they store and make available; it is this discrimination or curation that can add value by making finding relevant information easier in a straightforward manner. But it relies on outbox to avoid isolation; something that only becomes apparent once you are reasoning through all the implications on how we discover and consume content.

To be clear, this piece is not supposed to a crusade on the outbox model, my point here is that there is an inherent logic to Nostr stemming from putting cryptography front and center. It is a logic that has to be applied and will subsequently carry you through all the challenges we face in reconstructing the entirety of the web. This is not to say there is only one obvious path, and different schools of thought are bound to emerge. But it behooves us all, faced with this new paradigm, to continuously reflect on the mental image we have cultivated of what Nostr is; actively re-performing that exercise of exploring the implications this simple set of protocol rules creates.

Unfortunately I can not escape my own folly. After all, I am just an armchair asshole that never wrote a single line of code in his life. Obviously this minds-eye bullshit is not even half the story, the bulk of the effort is translating it into software, the tangible, the real. It is in that effort ultimately the real exploration of this paradigm occurs. All I can do is build castles in the sky.

@ 5ea46480:450da5bd

Decentralization refers to control/power, and relates to censorship resistance. That is it, it is not more complicated then that. Resilience is a function of redundancy; a centralized censored system can have a redundant set-up and therefor be resilient.

Take Bitcoin; the blockchain is a central database, it is resilient because it has many redundant copies among a lot of different nodes. The message (txs and blocks) propagation is decentralized due to existence of a p2p network among these nodes, making the data distribution censorship resistant (hello op_return debate). But onchain transactions themselves are NOT p2p, they require a middlemen (a miner) because it is a central database, as opposed to something like lightning which is p2p. Peer to Peer says something about relative architectural hierarchical position/relation. P2P provides censorship resistance because it entails equal power relations, provided becoming a peer is permissionless. What makes onchain transactions censorship resistant is that mining is permissionless, and involves this open power struggle/game where competition results in a power distribution among players, meaning (hopefully) decentralization. The fact users rely on these middlemen is mitigated by this decentralization on the one hand, and temper-proofing via cryptographic signatures on the other, resulting in what we call trustlessness (or trust minimization for the autists in the room); we only rely on a miner to perform a job (including your tx into a block), but we don’t trust the miner to perform the job correctly, this we can verify ourselves.

This leads us to Nostr, because that last part is exactly what Nostr does as well. It uses cryptography to get tamper-proof messaging, which then allows you to use middle-men in a trust minimized way. The result is decentralization because in general terms, any middle man is as good as any other (same as with miners), and becoming such a middleman is permissionless(somewhat, mostly); which in turn leads to censorship resistance. It also allows for resilience because you are free to make things as redundant as you'd like.

Ergo, the crux is putting the cryptography central, making it the starting point of the system; decentralization then becomes an option due to trust minimization. The difference between Bitcoin an Nostr, is that Bitcoin maintains a global state/central ledger and needs this PoW/Nakamoto consensus fanfare; Nostr rests itself with local perspectives on 'the network'.

The problem with the Fediverse, is that it does not provide trust minimization in relation to the middlemen. Sure, there are a lot different servers, but you rely on a particular one (and the idea you could switch never really seemed to have materialized in a meaningful way). It also fails in permisionlessness because you rely on the association between servers, i.e. federation, to have meaningful access to the rest of the network. In other words, it is more a requirement of association than freedom of association; you have the freedom to be excommunicated.

The problem with ATproto is that is basically does not solve this dynamic; it only complicates it by pulling apart the components; identity and data, distribution and perspective are now separated, and supposedly you don’t rely on any particular one of these sub-component providers in the stack; but you do rely on all these different sub-component providers in the stack to play nice with each other. And this ‘playing nice’ is just the same old ‘requirement of association’ and ‘freedom of excommunication’ that looms at the horizon.

Yes, splitting up the responsibilities of identity, hosting and indexing is what is required to safe us from the platform hellscape which at this stage takes care of all three. But as it turns out, it was not a matter cutting those up into various (on paper) interchangeable middlemen. All that is required is putting cryptographic keys in the hands of the user; the tamperproofing takes care of the rest, simply by trust minimizing the middlemen we use. All the sudden it does not matter which middlemen we use, and no one is required to play nice; we lost the requirement of association, and gained freedom of association, which was the purpose of censorship resistance and therefor decentralization, to begin with.

@ 527337d5:93e9525e

# Exploring the Niche of Conspiracy Theory Markets: A Probabilistic Approach and Sales Condition Analysis on Japanese Online Flea Markets (Subtitle: Unveiling the Surprising Realities of a Niche Market Through Data Analysis and AI)

(Note: This research analyzes consumer reactions and product characteristics in a specific market based on data. It does not endorse conspiracy theories nor promote or encourage any illegal or fraudulent activities.)

1. Abstract

This study aimed to clarify, from a probabilistic perspective, what combinations of information (topic x manipulation category) tend to attract attention and how pricing strategies affect sales of products marketed towards "conspiracy theorists" on online flea markets in Japan. Using an analogy from drug discovery's structural exploration, this research explored "information combinations" in products that resonate with individuals interested in conspiracy theories. Specifically, products were generated (some with AI assistance) based on defined topic categories (e.g., T1: Technology/Security) and manipulation categories (e.g., M1: Avoidance). The logarithm of the reaction rate (views / (searches + 1)) was used as a score for analysis, and the impact of pricing strategies (e.g., fixed at 5000 JPY, phased discounts) was examined. Results indicated that certain combinations (e.g., T3: Occult/Spiritual - M1: Avoidance) showed relatively high reaction rates. However, the effect of price changes was not uniform, and the total weekly views for this market segment remained around 100-120. Consequently, it was concluded that the scale of this specific market on the online flea market platform is extremely small. Therefore, even with a probabilistic model waiting for "hits" similar to those in certain types of specialized fraud schemes, achieving consistent sales is difficult due to the limited population size. This study serves as a case example of the possibilities and limitations of data-driven approaches in niche markets.

2. Introduction: Conspiracy Theories and Niche Market Potential

2.1. The Spread and Background of Conspiracy Theories in Modern Society

In contemporary society, conspiracy theories are proliferating at an unprecedented rate, facilitated by the internet and social media. These narratives typically allege that secret machinations by powerful individuals or groups lie behind specific events or social phenomena. Themes range испанский large-scale theories like QAnon to those concerning health and medicine. It has been pointed out that the psychology of those who believe in conspiracy theories may be influenced by factors such as anxiety in uncertain situations, a cognitive tendency to seek patterns, or distrust of existing authorities.

2.2. Research Motivation

The starting point for this research was a simple question: "Specialized fraud schemes, often succeed by identifying a very small number of 'susceptible individuals' out of numerous attempts. Might a similar probabilistic structure exist in the sale of products targeting those interested in conspiracy theories?" If so, it was hypothesized that it might be possible to identify which products, under what conditions, would have a higher probability of catching the "target's" eye and attracting interest.

2.3. Purpose of this Study

The purpose of this study is to exploratorily clarify, based on data, how "information combinations" (combinations of topic categories and manipulation categories) and "pricing strategies" of products ostensibly related to conspiracy theories affect user attention (using "reaction rate" as a proxy indicator) in a real-world online flea market environment. Ultimately, it aims to consider the possibilities and limitations of sales strategies in this type of niche market.

3. Research Perspective and Approach: Exploring "Information Combinations"

3.1. Analogy to Drug Discovery

In exploring the characteristics of products that resonate with conspiracy theorists, this study employed an analogy to "structural exploration problems" in drug discovery. In drug development, researchers search for optimal structures with specific effects from countless combinations of chemical structures. Similarly, "products that conspiracy theorists react to" were viewed as a type of "substance with an effect," and the "information combination of a product" (e.g., product theme, appeal points) was considered equivalent to a "chemical structure." Based on this framework, products with various information structures were generated and listed, and their reception was observed to explore more "effective" information structures, i.e., conditions likely to attract attention.

3.2. Balancing Exploration and Exploitation

In the initial research phase, with scarce data on which product combinations would attract attention, it was necessary to efficiently identify promising combinations. Therefore, an approach was adopted that considered the balance between "exploiting" combinations already known to be somewhat popular and "exploring" untried, unknown combinations. This shares a basic conceptual similarity with strategies like Thompson Sampling or the ε-greedy method, known in the field of reinforcement learning, which aim to achieve the best results within a limited number of trials.

4. Research Methodology: Experiments and Data Analysis on an Online Flea Market

4.1. Experimental Field and Period

The experiments for this study were conducted on an anonymous online flea market platform in Japan. The data collection period for individual products was, in principle, one day, and the overall research project spanned approximately one month (late April to late May 2025).

4.2. Product Categorization

To organize and analyze the characteristics of the listed products, they were categorized along the following two axes:

• Table 1: Definition of Main Product Topic Categories (T1-T4) (See Appendix 10.1 for details)
  • T1: Technology & Security
  • T2: Surveillance, Censorship & Government-Related
  • T3: Occult & Spiritual
  • T4: Forbidden Books & Knowledge Management
• Table 2: Definition of Product Manipulation Categories (M1-M3) (See Appendix 10.2 for details)
  • M1: Avoidance (e.g., avoiding electromagnetic waves)
  • M2: Detection (e.g., detecting hidden information)
  • M3: Approach/Processing/Amplification (e.g., approaching specific energies, processing information)

4.3. Listing Strategy and Data Collection

• Initial Listing Strategy: Initially, products were selected so that the listing ratio of the T×M combinations (12 in total) would be uniform.
• Sequential Adjustment of Listing Ratios: As data collection progressed, the logarithm of the reaction rate (log(reaction_rate)), a proxy for attention described later, was treated as a likelihood. The listing ratio for each T×M combination was then dynamically changed пропорционально to this value.
• Data Collection Items: Cumulative views (recorded as watch in this study) and search hits (recorded as search), updated every 24 hours by the online flea market platform, were manually recorded for each product. Since these figures did not change except at the time of updating, daily recording was sufficient.
• Listing Timing: New product listings were consistently made at 21:00 daily to eliminate variations in viewing trends due to time of day.
• Sample Size Criterion: Considering the 12 T×M combinations, a total sample size (number of listed products) of N=100 was considered a benchmark, also factoring in the time and effort of listing. The final analysis included 98 products.

4.4. Scoring of Attention

To measure how much attention users paid to product information, the following indicators were defined:

• Reaction Rate (reaction_rate): Defined as reaction_rate = watch / (search + 1). This represents the proportion of users who actually viewed the individual product page (watch) among those who encountered the product in search results or elsewhere (search). Adding 1 to the denominator was to avoid division by zero if search hits were 0 and to mitigate the impact of extremely low search hit counts.
• Score (score): Defined as score = log(reaction_rate) - log(0.5). Taking the logarithm of the reaction rate was confirmed to make the data distribution closer to a normal distribution (see Figure 1 below), facilitating statistical analysis. Subtracting log(0.5) was done to make a 50% reaction rate (half of those who searched viewed the page) the baseline (score 0), making it easier to compare attention levels relatively.

4.5. Verification of Pricing Strategies

The following experiments were conducted to verify the impact of product pricing on attention:

• Initial Pricing: Initially listed products were priced at a fixed 5000 JPY.
• Phased Discount Experiment: For some products, the listing price started at 5000 JPY and was discounted by 100 JPY at daily intervals. Cumulative views and search hits were recorded at each step (data recorded in "Daily Change Data.xlsx").
• Later Price Changes: In the latter half of the research, hoping to elicit more reactions, some products were priced around 3000 JPY, and eventually, all products were priced at 1500 JPY to observe reactions.
• Approach to Analyzing Price/Image Effects: The impact of price changes or product image alterations on attention was considered by applying the principles of DiD (Difference in Difference) analysis, comparing changes in data under different conditions, rather than through rigorous statistical analysis.

4.6. AI-Generated Product Descriptions

Some of the product descriptions were generated using Google's Gemini API. Prompts, in a format similar to the query variable in "Conspiracy_Research.ipynb," instructed the AI to generate descriptions aligning with conspiracy-related contexts by combining specified topic (e.g., T3: Occult & Spiritual) and manipulation (e.g., M1: Avoidance) keywords.

4.7. Analysis of Day-of-Week Effects

To evaluate the impact of the listing day of the week on attention, scores for each product, adjusted by subtracting the overall average score, were aggregated by day of the week and observed for trends.

5. Results: What Attracted Attention and What Didn't

5.1. Distribution of Attention Scores

First, the distribution of attention scores (log(reaction_rate) - log(0.5)) for all products was examined.

Figure 1: Q-Q Plot of log(reaction_rate) Vertical Axis: Ordered Values, Horizontal Axis: Theoretical quantiles | Ordered Values | Theoretical quantiles | | :-------------: | :--------------------: | | Approx. -1.7 | Approx. -1.5 | | Approx. -1.2 | Approx. -1.0 | | Approx. -0.8 | Approx. -0.6 | | Approx. -0.6 | Approx. -0.3 | | Approx. -0.1 | Approx. 0.0 | | Approx. 0.1 | Approx. 0.2 | | Approx. 0.3 | Approx. 0.3 | | Approx. 0.4 | Approx. 0.5 | | Approx. 0.5 | Approx. 0.7 | | Approx. 1.0 | Approx. 0.9 | | Approx. 1.5 | Approx. 1.6 | (Source: log(reaction_rate)よし、正規分布の仮定でいいらしい.jpg)

This Q-Q plot shows that the data points for log(reaction_rate) fall approximately on a straight line, suggesting that the distribution is close to normal. This supports the validity of statistical analysis using the log-transformed score. Furthermore, a histogram of the scores (generated as df["score"].hist() in "Conspiracy_Research.ipynb") showed that the scores were dispersed over a certain range.

5.2. "Information Combinations" That Attracted More Attention

Next, an analysis was conducted to determine which "information combinations" in products garnered higher attention scores.

• Figure 2: Average Attention Score by Topic Vertical Axis: Average Score, Horizontal Axis: Topic | Topic | Average Score (Approx.) | | :---: | :--------------------: | | T1 | Approx. 0.1 | | T2 | Approx. 0.3 | | T3 | Approx. 0.8 | | T4 | Approx. 0.15 | (Source: np.log(reaction_rate)-np.log(0.5)_by_topic.png)

  When categorized by main topic, "T3: Occult & Spiritual" showed a markedly higher average score compared to other topics.

• Figure 3: Average Attention Score by Manipulation Category Vertical Axis: Average Score, Horizontal Axis: Subtopic | Subtopic | Average Score (Approx.) | | :------: | :--------------------: | | M1 | Approx. -0.1 | | M2 | Approx. 0.32 | | M3 | Approx. 0.43 | (Source: score_mean_by_subtopic.jpg)

  By manipulation category, "M3: Approach/Processing/Amplification" had the highest average score, followed by "M2: Detection," and then "M1: Avoidance." "M1: Avoidance" had a negative average score, indicating a relatively low level of attention.

• Figure 4: Ranking of Average Attention Scores by Topic × Manipulation Category Vertical Axis: Average Score, Horizontal Axis: Combination of Topic & Subtopic | Combination (T, M) | Average Score (Approx.) | | :-----------------: | :--------------------: | | (T1, M1) | Approx. -1.1 | | (T2, M2) | Approx. -0.2 | | (T4, M1) | Approx. -0.1 | | (T4, M3) | Approx. 0.05 | | (T1, M2) | Approx. 0.08 | | (T2, M3) | Approx. 0.5 | | (T2, M1) | Approx. 0.55 | | (T3, M2) | Approx. 0.7 | | (T3, M3) | Approx. 0.75 | | (T1, M3) | Approx. 0.9 | | (T4, M2) | Approx. 1.0 | | (T3, M1) | Approx. 1.05 | (Source: score_mean_by_topic_and_subtopic.jpg)

  For combinations of topic and manipulation categories, pairings like "T3(Occult & Spiritual) - M1(Avoidance)" and "T4(Forbidden Books & Knowledge Management) - M2(Detection)" ranked high, while "T1(Technology & Security) - M1(Avoidance)" and others scored low (see Appendix 10.3 for details). A note in the research log, "M1=Avoidance seems unpopular anyway," supports this trend.

5.3. Impact of Pricing Strategies

The impact of price changes on attention was not uniform.

• Figure 5: Schematic Comparison of Attention Trends for Fixed-Price vs. Discounted Products (Original Data: "5000 JPY Fixed.jpg", "Daily Change Data.xlsx", "Power of Discounting.jpg")

  • Trend Example for 5000 JPY Fixed-Price Products Vertical Axis: Indicator Value (0.0-0.8), Horizontal Axis: Period | Product Name | Initial Value | Mid Value | Final Value | | :------------------------------------------ | :-----------: | :-------: | :---------: | | Ancient Energy Amplifying Pen - Quantum Flow- | Approx. 0.65 | Approx. 0.3 | Approx. 0.25 | | Pen of Truth Evasion | - | - | - | | Knowledge Prohibition Evasion Pen | Approx. 0.22 | Approx. 0.22 | Approx. 0.25 | | Ancient Wisdom Writing Tool - Knowledge Leak Evasion Model | Approx. 0.32 | Approx. 0.55 | Approx. 0.54 | (Source: 5000円固定のもの.jpg)
  • Power of Discounting (Count Comparison) Vertical Axis: Count, Horizontal Axis: Indicator Value Range | Indicator Value Range | Discounted (Blue) | Not Discounted (Red) | | :------------------: | :---------------: | :------------------: | | 0.0-0.5 | 1 | 2 | | 0.5-1.0 | 8 | 2 | | 1.0-1.5 | 10 | 0 | | 1.5-2.0 | 9 | 0 | | 2.0-2.5 | 3 | 0 | | 2.5-3.0 | 1 | 0 | (Source: 値下げの威力.jpg)

  When prices were fixed at 5000 JPY, many products showed no significant change in attention ("It really doesn't change if you don't discount lol"). In contrast, for product groups that were progressively discounted, some cases showed impression/search (an indicator thought to be close to the click-through rate from search results) converging towards a specific value soon after discounting began (around the 3rd day) ("On the other hand, discounting makes impression/search converge to a proper value?").

• However, as noted in the research log, "Discounted products, if anything, got worse reactions...?", data in "Daily Change Data.xlsx" confirmed that for some products, views and search hits stagnated or even decreased after price reductions.

5.4. Linguistic Trends in Products That Attracted Attention

The research log contains the entry, "Products with good reactions, when vectorized by words, are mostly the same." This suggests commonalities in the words and phrases used in the descriptions of products that garnered high attention. Specifically, when a vector was assigned based on the position of words used from a predefined list (e.g., T1 category keyword list), products with high attention tended to have similar vectors. For example, keywords frequently appearing in conspiracy theories, such as "special technology," "protection from surveillance," "5G interference prevention," "thought control," "HAARP," "QR code nullification," or sensational appeals combining these, as devised in the "Conspiracy Theorist Ballpoint Pen Product Plan," could potentially attract a certain level of interest.

5.5. Data Collection Challenges

During the analysis, a challenge was identified: "Aggregating by T*M alone inevitably results in products that don't get search hits." This indicates that for certain niche combinations, products might not be sufficiently exposed by the online flea market's search algorithm, leading to extremely low view and search hit counts, thus making accurate attention assessment difficult.

6. Discussion: The Small Reality of the Conspiracy Market and Probabilistic Models

6.1. Interpretation of Information Combinations That Attracted High Attention

The results of this study showed a tendency for products related to "T3: Occult & Spiritual" and those appealing to "M3: Approach/Processing/Amplification" manipulations to gather relatively high attention. The combination "T3-M1 (Occult & Spiritual - Avoidance)" also scored highly. These tendencies might be interpretable in relation to the psychological characteristics of conspiracy believers described in the "Comprehensive Analysis of Modern Conspiracy Theories." For instance, the "Occult & Spiritual" theme might appeal to an interest in phenomena unexplained by existing science or authority, or to a desire for special knowledge (a sense of being chosen). The "Avoidance" manipulation could resonate with vague anxieties and threat perceptions regarding society or technology (e.g., defense against electromagnetic waves, escape from surveillance), while "Approach/Processing/Amplification" might be perceived as fulfilling desires to access hidden truths or special powers.

6.2. Complexity of Pricing Strategies

Regarding pricing strategies, the results showed that simple discounting did not always lead to increased attention. The fact that some products experienced worse reactions after discounting suggests that price might function as a signal of quality or trustworthiness, or that the price sensitivity of the target demographic is not uniform. Alternatively, the initial pricing (5000 JPY) might have been significantly outside the typical price range for this niche market, thus limiting the effectiveness of discounts.

6.3. Market Size Estimation and Validation of the "Probabilistic" Model

One of the most crucial findings of this research relates to market size. The research log states, "Even with discounting, weekly views settled around 100-120. This reasonably implies that only about this many people on the online flea market react to such comprehensively sprinkled conspiracy-related words." Based on this observation, the active user base (market size) on the online flea market studied, who proactively react to the keyword "conspiracy theory" and search/view related products, was estimated to be extremely small, around 100 individuals on a weekly basis.

This market size estimation casts significant doubt on the validity of the initial research motivation: a "probabilistic business model similar to specialized fraud." Specialized fraud schemes profit by reaching a certain number of "targets" through a vast number of attempts (e.g., phone calls), even with a very low success rate. However, in the market targeted by this study, the potential customer base (population) is absolutely too small. Therefore, even if the probability of attracting attention could be somewhat increased, translating this into actual sales (y=1, i.e., a sale occurring) is considered extremely difficult. To quote the research log, the conclusion is that "the population is too small for a realized value (y=1) to be feasible." If the market size were, for example, around 100,000, a 0.01% reaction rate could be expected to yield 10 sales, but this premise does not hold in the current situation.

6.4. Effectiveness and Limitations of This Research Approach

The approach of exploring "information combinations," using an analogy to drug discovery, demonstrated some effectiveness in probing product appeal points and the interests of the target demographic in a niche market. Using proxy indicators like reaction rates allows for an understanding of attention trends even when actual sales data is scarce. However, the limitations of this approach also became clear. If the market size itself is a major constraint for business viability, then optimizing information structure, no matter how well, is unlikely to lead to substantial results.

6.5. Fixation on "Pens" as a Product and Other Possibilities

The research log includes the insight, "I see products like 'CMC' are selling, maybe I should have sourced and sold those instead of fixating on pens." This suggests that the "pen" product category, which was the main focus of this study, might not have been the most in-demand item in this niche market. If a similar analytical approach had been tried with products more aligned with market needs (e.g., health accessories, also mentioned in the log), different results might have been obtained. However, as the researcher pointed out, delving that far would go beyond the scope of a hobby and become a full-fledged business, so it was not pursued in this study.

7. Conclusion and Future Outlook

7.1. Summary of This Study

This study attempted to identify conditions (information combinations, pricing) for maximizing the attention received by conspiracy-related products on an online flea market, using a data-driven approach. The results confirmed that certain combinations of topics (Occult & Spiritual) and manipulation categories (Avoidance, Approach, etc.) tended to show relatively high reaction rates. However, the impact of price changes was complex and did not yield consistent effects. The most significant conclusion was that the scale of this niche market on the online flea market in question is extremely small, suggesting that applying a probabilistic "hit-or-miss" business model would make achieving stable sales difficult.

7.2. Implications of the Statistical Approach

This research demonstrated that even in niche markets with limited data, setting proxy indicators like reaction rates and employing exploratory approaches (experimental design, sequential improvement) can provide certain insights into market characteristics and consumer interest directions. Statistical thinking and data analysis can serve as a "compass" to aid decision-making even in such tentative situations.

7.3. Future Outlook

Based on the findings of this study, the following future prospects can be considered: * Validation on Larger Platforms: Conducting similar research on platforms with a larger user base might alleviate market size constraints and yield different results. * Application to Different Niche Markets: The "information combination exploration" approach used in this study could potentially be applied to product development and marketing strategies in various niche markets other than conspiracy theories. * Long-Term Observation: Based on the research log's reflection that "conspiracy business... it should be optimal to leave [products] there so they catch the eye when an idiot searches," observing product attention and sales over a longer period might yield different insights.

8. Research Limitations

This study has several limitations: * Limited Scope of Platform: The experiments were confined to a specific online flea market, and the results may not be generalizable to other platforms or the market as a whole. * Use of Proxy Indicators: "Reaction rate" of attention was used as the primary evaluation metric, rather than actual "sales" data, so it does not necessarily directly correlate with sales performance. * Sample Size Constraints: The number of products analyzed was 98, and the estimated market size was also small (around 100 weekly users), limiting statistical power. * Lack of Word-Level Analysis: Detailed analysis of the impact of individual words or phrases in product descriptions on attention, using advanced text mining or natural language processing, was not conducted.

9. References

• BBC News Japan. (2020, August 29). "QAnon to wa nani ka: Inbouron shuudan no shoutai to mokuteki, kikensei" [What is QAnon: The identity, purpose, and danger of the conspiracy theory group].
• Waseda University Institute for Advanced Social Sciences. (2022, August 1). "【Kenkyuu Shoukai】Inbouron wa naze hirogaru no ka? Sono shinri mekanizumu ni semaru" [(Research Introduction) Why do conspiracy theories spread? Approaching the psychological mechanism].
• Brotherton, R., French, C. C., & Pickering, A. D. (2013). Measuring belief in conspiracy theories: The generic conspiracist beliefs scale. Frontiers in psychology, 4, 279.

10. Appendix

10.1. Table: Detailed Definitions of Main Product Topic Categories (T1-T4)

| Category ID | Category Name | Summary/Keyword Examples | | :---------- | :------------------- | :--------------------------------------------------------------------------------------- | | T1 | Technology & Security | EMF, 5G, electromagnetic waves, radiation, shielding, communication, encryption, software, programs, biometric authentication, etc. | | T2 | Surveillance, Censorship & Government-Related | Surveillance, censorship, government secrets, secrets, documents, records, government documents, etc. | | T3 | Occult & Spiritual | Orb detection, spiritual phenomena, pendulums, ancient civilizations, alien contact, energy, crystals, chakras, quantum consciousness, etc. | | T4 | Forbidden Books & Knowledge Management | Ancient texts, forbidden books, ancient languages, shortwave (retro technology), etc. |

10.2. Table: Detailed Definitions of Product Manipulation Categories (M1-M3)

| Category ID | Category Name | Summary/Keyword Examples | | :---------- | :--------------------------- | :--------------------------------------------------------- | | M1 | Avoidance | Shielding, soundproofing, prevention, avoidance (e.g., avoiding negative energy) | | M2 | Detection | Detectors, finders, detection devices, deciphering (e.g., detecting hidden information) | | M3 | Approach/Processing/Amplification | Processing, amplification, magnification (e.g., approaching and amplifying ancient knowledge) |

10.3. Table: Summary of Main Analysis Results (Examples of High/Low Average Attention Scores by Topic × Manipulation Category)

| Combination (T-M) | Average Score (Approx.) | Trend | | :---------------- | :---------------------- | :----------------- | | T3 - M1 | High | Attracts attention | | T4 - M2 | High | Attracts attention | | T1 - M3 | Medium-High | Relatively attentive | | T2 - M3 | Medium | Somewhat attentive | | T1 - M1 | Low (Negative) | Less attention | | T2 - M1 | Low (Negative) | Less attention | (Note: The scores above are approximate values from the figures and actual precise numbers are based on the original data.)

10.4. Representative Examples of AI-Generated Product Descriptions

Basic Prompt Structure Example: "I want to sell {word} at a high price. Combine one from {maintopic} and {manipulation} to create a product description and an appropriate price. Respond in the format: 'Main Topic Category (T1-T4)':'Manipulation Category (M1-M3)':'Product Name':'Product Description':'Price' only once. Absolutely adhere to the specified {maintopic} and {manipulation}. No other output is necessary. Respond in Japanese." (Placeholders like {word} would be filled with "ballpoint pen," {maintopic} with "T3," and {manipulation} with "M1," etc., as specific instructions.)

Generated Example (Combination T3 - M1): * "Thought Shield Ballpoint Pen: This pen was specially created to powerfully block and evade external negative thoughts and spiritual interference through the sacred act of writing. Based on ancient esoteric arts and quantum consciousness theory, a special energy shield sealed inside the pen protects your thought space and personal field. Using it when signing important contracts or for work requiring concentration helps defend against malice and unnecessary energy, maintaining clear thought. The act of holding it itself becomes a powerful barrier, effectively evading unnecessary energies in daily life." * "Quantum Shield Energy Pen: The act of writing with this pen deploys a quantum shield around your energy field. It is expected to block and evade negative energies and unnecessary external influences, and to balance your chakras. This is a limited-production item using special manufacturing methods and rare materials."

@ ce2820ce:8cf20d40

If you insist that my worldview join your pessimistic outlook on life, and you argue with me with a vengeance until I sympathize with your miserable failing hopeless vision of the future...than fight me!

Go ahead, give me all your reasons why I should fear:::Climate Change. Political Injustice. Too much screen time. The Dangers of social media. Fentanyl in my Cheerios. Glyphosate in my weed. Plastic in my brain. Estrogen in my receipt paper.

And the list goes on:::Nuclear War. The Ominous Second Coming of Hitler. The Genocide of Gaza. The Anti-semitism. The Ultra-Rich After my Red Meat.

And while I'm at it, how about the thousands of other “micro-negativities” that are casually beaten into our psyche all day. Pleasure and punishment in the same sadistic act. Warning labels and threats of death on everything from clothing to candy wrappers.

Don't get me wrong. I understand all the reasons why the alarm bells are going off. I'm most definitely thinking about the healthiest possible long term future for my kids, and for many generations to come.

We are not done here, is what I have to say to that. And if you narcissitic, self-loathing, pathologically empathetic descendants of hippies think that this is the last generation to ever walk the Earth, than all I ask is; Go Kill Yourselves Now, and spare us all the trouble of your self-perpetuated miseries.

If you have no mind for the future, and you don't plan on having children, than you better well keep your traps shut and go enjoy the fuck out of this glorious age of excess that we are currently abiding in, until its gone. Because what do you care if it is? You're not leaving any future generations to the dystopia, so what do you have to feel guilty about?

If you do have a mind for the future, and you have or would like to have children of your own, then my heartfelt response to you is that you should do your utmost to focus on the solutions, the bright spots, the gratitudes of life and the progress that humans have made and that we will continue to make. There is no stopping now.

There are no doubt terrifying problems and apocalyptic potentials for Planet Earth in the coming centuries, but this pattern of preaching fear HAS GOT TO STOP. All we are doing is entertaining negativity; giving far too much credit to the forces of destruction and to the demons of our own dissatisfactions.

Too many generations are now embracing a culture of hopelessness. We've pounded their heads full of horrible news for their future – climate change, diseases, technology woes – and we continue to do so on a daily basis. We pontificate about skyrocketing mental health and suicide rates among teens, but all we do is point fingers and shout platitudes at those to whom we offload the responsibility of our kids to.

So do the future a favor, and start thinking about one that you might actually enjoy living in. If you're already having that problem – the one about enjoying things – than figure out what the fuck it is that is keeping you from envisioning a positive future. What went wrong in your own life that made you so depressed and unhappy? Misery loves company, we all know that, and it seems that the only way to relate to my peers these days is through a semi-informed rant about the stresses and horrors of the modern world.

The problem is, we don't stick to our guns when it comes to those convictions. We complain about social media, but we still use it everyday. We put AI on blast and expound its humanity ending potentials, while we ask it questions about our astrology and our skin conditions.

So if you are going to spread the murder pron, and fill your stories up with the perpetual shock and fear, in-between selfies of you enjoying your luxurious life, than you are living a duplicitous and dangerous path.

You feel guilty for your privileged life, and the way you assuage that is by expounding your concern for the ills and unfairness of the outside world, and by pretending to “put in the work” to “heal our wounds” or destroy the patriarchy by smearing your big ass across my Instagram feeds. Here, let me help you.

Your Suffering isn't Saving Anybody. It's only pulling a drag net through your mind's ability to let happiness and love into your life. Don't take pride in your own wounds, as you do not really wish them on anybody else, and you certainly don't want your kids to feel the trauma's you are trying to get over from your own childhood.

So if you think “pessimism is the only morally acceptable emotion” when it comes to thinking about the future, than I will fight you tooth and nail to maintain my own delusion that the future is still bright. If you want to tell my kids that Hitler is coming, that the sea levels are rising, and that AI will end their lives, than I will beat your misery to a bloody pulp, and try and help you see a future worth living.

The point is, I've lost friends, and watched love ones fall into this “addiction” to the broadcast news negativity. It is a bad habit that must be broken, as we are losing our ability to trust, and losing our faith in our own power. If you isolate yourself with misery, than you will never feel emboldened to overcome anything, and you will never learn what love can do.

Look at the future. If you don't see any hope, than you better find some. It takes courage to move forward, and it takes courage to kill yourself. It takes only cowardice to remain in the muddled middle-ground of in-action and crippling in-decision.

Make the move, and tell me how it goes. I’m here to help.

With Love,

-§parrow

@ 7459d333:f207289b

Tokenization of physical assets sounds kinda dumb. Say you tokenize a house. What happens if you loose the private keys? What happens if the last “legal” (on paper) owner claims it? Basically, the tokenization is useless. The house is still subject to whatever jurisdiction is in. And the smart contract can say whatever, but that does not make it true.

What's not so obvious is for virtual assets or service tokens. A good example is cashu. Where tokenizing Bitcoin has the advantages of allowing the users to transact with it “without the mint's permission”. This could be applied similarly for concert tickets or API credits.

For example, the biggest problem of concert ticket reselling is trusting that other copies of the PDF with the QR code won't be used before the one you bought. Or that you won't have problems at the entry because the ticket is not in your name. A mint that allows users to transact between them preventing double spending and fungibility would solve this.

But for some reason shitcoiners are obsessed on tokenizing physical assets or company shares. Where the only benefit that tokenizing could bring is avoiding regulations (until they update the laws).

So, what's your take on tokenization?

https://stacker.news/items/992519

@ 29313cc9:a6bf155e

I thought i'd experiment with this Nostr blogging thing and write a short article on the state of Meshtastic and its alternatives.

For years Meshtastic was the only game in town, there wasn't a lot of users but the authors kept plugging away and it has become a thriving ecosystem of open source hardware, software, tools and social scene.

Meshtastic has always been focused on node to node messaging, in particular one of the use cases specifically mentioned was hiking in the wilderness or skiing in the mountains and being able to use these devices off-grid, perhaps even without a phone to communicate with one and other. The project does have a few other features like telemetry, remote admin, packet data etc but the messaging was the focus. Because of this focus, the core functionality needs to be built into the firmware of these low powered devices like ESP32 for example. This restricts what can be done in terms of CPU power and storage, but also makes synchronization between device and phone cumbersome.

Unfortunately, as a messaging platform, Meshtastic still struggles even after all these years. Message delivery and routing are fairly unreliable, 95% of conversations go along the lines of "hello, test, anyone there?". Now I should mention, if you have a very good signal to your peers the reliability can be good, but even then its not a guarantee.

Early on in the Meshtastic journey I stumbled upon a similar project named Reticulum which can utilize the same LoRa based hardware but aims to be a more comprehensive platform for decentralized communications and currently requires a computer or raspberry pi to run the Python backend alongside the LoRa hardware as a radio. Reticulum has historically been a less polished UI experience and a little idiosyncratic in its design which has probably hindered its adoption a little. But the main difference to Meshtastic is Reticulum requires bigger hardware and is less suitable for remote installations, solar powered setups etc. My understanding is once v1.0 has been released (soon) there may be efforts to port the code to native C which may allow hardware nodes to run as repeaters on their own.

More recently a new project has been announced called Meshcore, which is more closely aligned with Meshtastic than Reticulum, Meshcore makes several important improvements to message delivery and routing in an attempt to improve the reliability of the core feature, messaging. Popular Youtube channel Andy Kirby has been central in helping Meshcore gain popularity and I think he may be involved in the commercial aspects of the project. The smartphone apps and website mapping and flasher tools are a bit more polished with Meshcore.

One of the biggest contributors in the space is Liam Cottle who has created mapping websites for Meshtastic & Meshcore, he also built the Meshcore smartphone app and built the fantastic Reticulum MeshChat UI.

With all this new competition Meshtastic appears to be pushing out more frequent updates and whilst they have been introducing more bugs into the software it is nice to see some faster progress.

In my opinion Reticulum is probably the most interesting project with the most potential, but they do need to get the core routing engine running standalone on low powered hardware for the project to expand to more hardware/radio focused users.

That is all. Mesh on!

@ 3770c235:16042bcc

Let’s clear something up: frugal living isn’t about eating ramen every night or never treating yourself. It’s about being intentional with your money so you can enjoy what matters more. Think of it like editing a movie—you cut the boring scenes to highlight the best parts. You don’t have to give up lattes, travel, or Friday pizza nights. You just need a few clever tricks to make your money stretch further while keeping the fun intact.

Take my friend Alex, for example. Last year, he felt overwhelmed by credit card debt but didn’t want to give up his weekend hikes or coffee shop visits. By tweaking a few habits—like auditing subscriptions and prioritizing experiences—he paid off $5,000 in debt and still took a camping trip with his kids. The secret? Small, intentional choices that add up. In this guide, we’ll share practical, joy-friendly hacks to help you save smarter. Plus, we’ll mention sites like Crown Money—a budgeting service that makes tracking your progress effortless—so you can focus on living well, not pinching pennies.

**1. Audit Your Subscriptions (Yes, Even That One) ** You know that streaming service you haven’t opened since 2022? Or the gym membership you keep “meaning to use”? Those small charges add up fast. A recent study found the average person spends 219/month on forgotten subscriptions—that’s over 2,600 a year!

• The Hack: Every 3 months, review your subscriptions. Ask: “Do I actually use this?” Cancel anything that doesn’t spark joy. • Pro Tip: Use Crown Money to see all your subscriptions in one place. The app automatically flags recurring charges, so you don’t have to hunt through bank statements. You’ll even get a nudge like, “You’ve paid $14.99/month for ‘Premium Yoga App’—last used 6 months ago. Cancel?” Real-Life Example: Sarah canceled two unused streaming services and a meditation app she forgot about. She saved $45/month—enough to fund her new hobby: pottery classes. “I didn’t realize how much clutter I was paying for,” she said. “Now I’m learning to make mugs instead of binge-watching shows I don’t even like.”

**2. Embrace the “Joy Budget” (Seriously, Budget for Fun) ** Frugality fails when it feels like deprivation. Instead, carve out guilt-free money for things you love. Behavioral scientists call this “temptation bundling”—pairing savings goals with rewards to stay motivated.

• The Hack: Allocate 10–15% of your budget to a “Joy Fund” for hobbies, dining out, or travel. • Pro Tip: In Crown Money, create a custom category like “Adventure Fund” or “Treat Yourself.” Set a monthly limit and track how much you’ve saved for that weekend getaway or concert ticket. The app’s visual progress bars turn saving into a game—imagine watching your “Beach Trip 2024” fund grow with every dollar.

Real-Life Example: Mark loves trying new restaurants. By setting a $100/month “Dining Out” budget in Crown Money, he enjoys date nights without overspending. “I used to feel guilty splurging on sushi,” he shared. “Now I know it’s part of the plan, so I savor every bite.”

1. Master Mindful Spending (Ask This One Question) Before buying anything non-essential, ask: “Will this add value to my life, or just clutter?” Retail therapy might feel good in the moment, but that $50 impulse sweater often ends up forgotten in the back of your closet.

• The Hack: Implement a 24-hour “cooling-off” period for impulse buys. If you still want it tomorrow, go for it! • Pro Tip: Use Crown Money to review your spending trends. The app’s monthly reports show where your money goes, helping you spot habits (like late-night online shopping) that don’t align with your goals. Set up alerts like, “You’ve spent $75 on ‘Miscellaneous’ this week—want to check in?” Real-Life Example: Lisa avoided buying a $200 jacket on impulse. After 24 hours, she realized she didn’t need it—and put the money toward a weekend camping trip instead. “I almost bought something I’d wear once,” she laughed. “Now I have photos of sunsets instead of buyer’s remorse.”

1. DIY and Swap (Your Wallet Will Thank You) Frugal living thrives on creativity. Swap buying new for: • DIY solutions: Make coffee at home (a $5 bag of beans lasts weeks!), repair clothes, or grow herbs instead of buying them. • Community swaps: Trade books, tools, or skills with friends (e.g., “I’ll babysit if you help me fix my bike”).

Pro Tip: Track your monthly expenses in Crown Money. Create a category like “Homemade Wins” and watch how small choices (like brewing your latte) add up over time. For example, skipping a daily 4 coffee shop visit saves 120/month—that’s a weekend road trip! Real-Life Example: Jake started meal prepping lunches instead of buying 15 salads. He saves 300/month—enough for a monthly massage. “I’m eating healthier and funding self-care,” he said. “Plus, my coworkers are jealous of my teriyaki bowls.”

1. Prioritize Experiences Over “Stuff” (Happiness Science Approved) Research shows experiences bring longer-lasting joy than material purchases. A 2023 study found people who spent money on concerts, trips, or classes reported 30% higher life satisfaction than those who bought gadgets or clothes.

Instead of splurging on gadgets, invest in: • Free/low-cost adventures: Hiking, picnics, game nights, or exploring local festivals. • Shared moments: Host a potluck instead of dining out. Pro Tip: Use Crown Money to set a goal like “Summer Adventure Fund.” Allocate $50/month, and let the app remind you to fund it automatically. Watching that fund grow feels like planning a vacation in slow motion. Real-Life Example: Maria and her partner skipped a pricey vacation and rented a cozy cabin nearby. They saved $1,200 and still made memories roasting marshmallows under the stars. “We thought we needed a fancy trip to connect,” she said. “Turns out, all we needed was a fire pit and no Wi-Fi.”

Key Takeaways • Cut the clutter: Cancel unused subscriptions and track them with tools like Crown Money. • Budget for joy: Allocate guilt-free money for hobbies and experiences. • Pause before purchasing: Avoid impulse buys with a 24-hour rule. • Get creative: DIY, swap, and repurpose to save without sacrifice. • Invest in experiences: They’re richer than “stuff” and often cheaper.

FAQs: Frugal Living Made Simple Q: How do I stay motivated to save? A: Tie savings to specific goals (e.g., “Save $500 for a weekend trip”). Apps like Crown Money let you visualize progress, which feels rewarding!

Q: Can I be frugal and still socialize? A: Absolutely! Host DIY spa nights, picnic potlucks, or free museum days. Use Crown Money to set a “Social Fun” budget and stick to it.

Q: What if I slip up and overspend? A: No guilt! Adjust your budget next month. Crown Money makes it easy to shift funds between categories.

Q: How do I track small savings from DIY habits? A: Create a custom category in Crown Money (e.g., “Homemade Wins”) and log your savings manually. Watching it grow is addictive!

Q: What if I have a financial emergency? A: Build a “Safety Net” category in Crown Money. Start small—even $20/month adds up. The app’s reminders keep you consistent.

**Final Thoughts: Frugal Is Freedom ** Frugal living isn’t about saying “no”—it’s about saying “yes” to what truly lights you up. By trimming the financial fat (goodbye, unused subscriptions!), budgeting for joy, and getting creative, you can save money and savor life’s best moments. Tools like Crown Money are your allies here. They handle the tracking and nudging, so you can focus on the fun parts: planning adventures, trying new recipes, or laughing with friends over a board game. Remember: the goal isn’t perfection. It’s progress. Start small, celebrate wins, and let your frugal habits grow naturally. Your wallet (and your inner joy-seeker) will thank you.

@ 502ab02a:a2860397

ย้อนกลับไปปี 2014 ชายชื่อ Patrick O. Brown ศาสตราจารย์ชีววิทยาเชิงโมเลกุลแห่งมหาวิทยาลัยแตนฟอร์ด ตัดสินใจลาออกจากเส้นทางวิชาการสายหลัก เพื่อมาก่อตั้งบริษัทที่เขาเชื่อว่าจะเปลี่ยนโลก Impossible Foods

ดร. แพทริค โอ. บราวน์ (Patrick O. Brown) เป็นนักชีวเคมีและนักธุรกิจชาวอเมริกันและศาสตราจารย์กิตติคุณด้านชีวเคมีแห่งมหาวิทยาลัยสแตนฟอร์ด เขาได้รับปริญญาตรี แพทยศาสตรบัณฑิต และปรัชญาดุษฎีบัณฑิตด้านชีวเคมีจากมหาวิทยาลัยชิคาโก หลังจากนั้น เขาได้เข้ารับการฝึกอบรมด้านกุมารเวชศาสตร์ที่โรงพยาบาล Children's Memorial ในชิคาโก ในช่วงหลังปริญญาเอก เขาได้ทำงานวิจัยเกี่ยวกับกลไกที่ไวรัส HIV และเรโทรไวรัสอื่น ๆ แทรกยีนของพวกมันเข้าสู่จีโนมของเซลล์ที่ติดเชื้อ ซึ่งช่วยนำไปสู่การพัฒนายาใหม่ในการต่อสู้กับโรคนี้

ในช่วงต้นทศวรรษ 1990 ดร. บราวน์และทีมงานของเขาที่สแตนฟอร์ดได้พัฒนาเทคโนโลยี DNA microarray ซึ่งเป็นเครื่องมือที่ช่วยให้นักวิจัยสามารถวิเคราะห์การแสดงออกของยีนทั้งหมดในจีโนมได้พร้อมกัน เทคโนโลยีนี้มีบทบาทสำคัญในการวิจัยทางชีววิทยาและการแพทย์ โดยเฉพาะในการจำแนกประเภทของมะเร็งและการพยากรณ์โรค

นอกจากนี้ ดร. บราวน์ยังเป็นผู้ร่วมก่อตั้ง Public Library of Science (PLOS) ซึ่งเป็นองค์กรไม่แสวงหาผลกำไรที่มุ่งเน้นการเผยแพร่ผลงานวิจัยทางวิทยาศาสตร์ให้เข้าถึงได้ฟรีและเปิดกว้างต่อสาธารณะ

ในปี 2011 ดร. บราวน์ได้ก่อตั้ง Impossible Foods โดยมีเป้าหมายในการสร้างผลิตภัณฑ์เนื้อสัตว์จากพืชที่มีรสชาติและเนื้อสัมผัสคล้ายเนื้อสัตว์จริง เพื่อลดผลกระทบต่อสิ่งแวดล้อมจากการเลี้ยงสัตว์ เขาและทีมงานได้ค้นพบว่าโมเลกุล heme ซึ่งเป็นส่วนประกอบที่ให้รสชาติและกลิ่นเฉพาะของเนื้อสัตว์ สามารถผลิตจากพืชได้ โดยเฉพาะจากรากถั่วเหลือง พวกเขาใช้เทคนิคทางวิศวกรรมชีวภาพในการผลิต heme จากยีสต์ที่ได้รับการดัดแปลงพันธุกรรม และนำมาผสมกับโปรตีนจากพืชเพื่อสร้างผลิตภัณฑ์ที่มีลักษณะคล้ายเนื้อสัตว์

ดร. บราวน์ได้รับการยอมรับอย่างกว้างขวางในวงการวิทยาศาสตร์และเทคโนโลยี โดยได้รับรางวัลและเกียรติคุณหลายรายการ รวมถึงการเป็นสมาชิกของ National Academy of Sciences และ National Academy of Medicine ของสหรัฐอเมริกา ด้วยความมุ่งมั่นในการแก้ไขปัญหาสิ่งแวดล้อมผ่านนวัตกรรมทางอาหาร ดร. แพทริค โอ. บราวน์ ได้กลายเป็นบุคคลสำคัญที่มีบทบาทในการเปลี่ยนแปลงวิธีการบริโภคอาหารของโลกในศตวรรษที่ 21

เป้าหมายของเขาไม่ใช่เพียงแค่ทำอาหาร แต่คือ "ยุติการทำปศุสัตว์ให้หมดสิ้นภายในปี 2035"

เขาไม่ได้พูดลอย ๆ เขาลงมือ “ทำเนื้อจากพืช” ด้วยเทคโนโลยีที่ซับซ้อนระดับวิศวกรรมชีวภาพ นำโปรตีนจากถั่วเหลือง + น้ำมันมะพร้าว + เทคเจอร์ + สารเติมแต่งอีกชุดใหญ่ มาผ่านกระบวนการแปรรูปจนดูคล้ายเนื้อย่าง แต่ที่ทำให้ “มันดูเหมือนเนื้อจริง” คือการเติม ฮีม (Heme) เข้าไปสารประกอบที่อยู่ในเลือดและเนื้อสัตว์จริง ๆ

Impossible Foods คือบริษัทที่ไม่ได้เพียง “ปลอมรสชาติเนื้อ” แต่พยายามสร้างเนื้อจากพืช ให้เหมือนเนื้อจริงที่สุดเท่าที่วิทยาศาสตร์จะเอื้อมถึง จุดขายที่ทำให้แบรนด์นี้ดังเปรี้ยงก็คือสิ่งที่เรียกว่า “ฮีม” (heme) หรือโมเลกุลเหล็กในเลือด ซึ่งเป็นตัวการหลักที่ทำให้เนื้อวัวมีกลิ่นและรสเฉพาะตัวเวลาถูกย่างจนหอมฉุย

ดร.แพทริค บราวน์ และทีมนักวิจัยของเขาเริ่มจากการค้นหาว่า “อะไรในพืช” ให้กลิ่นคล้ายเลือด พวกเขาพบว่า “Leghemoglobin” ซึ่งอยู่ในรากถั่วเหลือง มีโครงสร้างใกล้เคียงกับ Hemoglobin ในเลือดสัตว์มากที่สุด จุดพลิกของเทคโนโลยีนี้คือ การผลิตเลกฮีโมโกลบินจากพืชจำนวนมาก ทำไม่ได้โดยการถอนรากถั่วมาทุบคั้น แต่ต้องอาศัยวิศวกรรมชีวภาพขั้นสูง

พวกเขาจึงใช้กระบวนการที่เรียกว่า “fermentation by genetically modified yeast” หรือการหมักโดยยีสต์ที่ผ่านการดัดแปลงพันธุกรรม โดยนำยีนของพืชที่สร้าง leghemoglobin ไปใส่ในยีสต์ (Pichia pastoris) แล้วเลี้ยงยีสต์นั้นในถังหมักขนาดใหญ่แบบเดียวกับโรงเบียร์ พอยีสต์ขยายตัว มันจะผลิตเลกฮีโมโกลบินออกมาจำนวนมาก จากนั้นจึงสกัดออกมาผสมกับโปรตีนจากพืช เช่น โปรตีนจากถั่วเหลือง หรือโปรตีนจากมันฝรั่ง

เพื่อให้เนื้อสัมผัสคล้ายเนื้อจริง ทีม Impossible Foods ยังใช้เทคนิคอื่นร่วมด้วย เช่น -Coconut Oil และ Sunflower Oil เป็นแหล่งไขมันที่ให้สัมผัส “ฉ่ำๆ” คล้ายไขมันเนื้อวัว -Methylcellulose สารที่ช่วยทำให้ส่วนผสมเกาะตัวเป็นก้อน คล้ายเนื้อบดจริง -Natural Flavors กลิ่นที่สกัดจากพืชหลายชนิด เพื่อเลียนแบบกลิ่นไหม้จากเนื้อย่าง

ทุกอย่างถูกผสมให้เข้ากัน ผ่านเครื่องอัดขึ้นรูป (extrusion) ที่ทำให้เนื้อออกมามี “เส้นใย” คล้ายกล้ามเนื้อวัว หรือหมู เมื่อโดนความร้อน โปรตีนจะเปลี่ยนโครงสร้าง (denature) และมีกลิ่นออกมาคล้ายๆ เนื้อย่างจริงๆ พร้อมน้ำสีแดงคล้ายเลือด (จาก heme) ไหลเยิ้ม ซึ่งคือไอเดียที่ทำให้ Impossible Burger เป็นมากกว่าแค่ “เบอร์เกอร์ผัก”

ผลลัพธ์คือ… เบอร์เกอร์พืชที่มีเลือดซึม สีชมพูดู juicy และกลิ่นไหม้ติดกระทะ จนคนกินรู้สึกเหมือนกำลังย่างเนื้อจริง ๆ

ฟังดูอัศจรรย์ใช่ไหม? แต่...การเติมฮีมจากยีสต์ตัดต่อพันธุกรรมลงในอาหาร ไม่เคยมีในธรรมชาติมาก่อน ในปี 2017 Impossible Foods ต้องยื่นเรื่องต่อ FDA เพื่อขออนุมัติว่า leghemoglobin จากยีสต์ GMO “ปลอดภัย”

แต่ในตอนนั้น FDA ตอบว่า “ยังไม่มีข้อมูลเพียงพอ” ว่าจะไม่ก่อให้เกิดภูมิแพ้หรือผลข้างเคียงในระยะยาว (ใช่แล้วจ้ะ... สารที่อยู่ในเบอร์เกอร์ชื่อดัง ถูกขายก่อนที่ FDA จะสรุปว่าปลอดภัยเต็มร้อย)

แล้วในที่สุด ปี 2019 FDA ก็ให้ผ่านแบบ “GRAS” (Generally Recognized As Safe) โดยใช้ข้อมูลจากการทดลองภายในของบริษัทเอง ไม่ใช่การทดสอบอิสระจากภายนอก

เฮียว่าอันนี้ต้องมีใครสะกิดในใจแล้วล่ะว่า “เรากำลังเอาอะไรเข้าปากกันแน่?”

แม้จะฟังดูเท่ ไฮเทค และดีต่อสิ่งแวดล้อม แต่ก็มีคำถามจากนักวิจารณ์มากมายว่า… แท้จริงแล้วอาหารเหล่านี้เป็นอาหาร “เพื่อสิ่งแวดล้อม” หรือเป็นเพียง “ภาพฝันที่ควบคุมโดยบริษัทเทคโนโลยียักษ์ใหญ่”?

มันเต็มไปด้วยคำถาม คำถาม และ คำถามนะสิครับ

ในเมื่อ Impossible Foods ได้รับเงินลงทุนหลายรอบจากบริษัทยักษ์อย่าง Google Ventures, UBS, และ Temasek (ของรัฐบาลสิงคโปร์) บอกตรง ๆ ว่า เงินแบบนี้ไม่ได้หวังแค่เปลี่ยนโลกแต่มันมาพร้อมเป้าหมายที่ชัดมาก การสร้างสิทธิบัตรอาหารใหม่ ที่ควบคุมการผลิตจากต้นน้ำยันปลายน้ำ อย่าลืมว่า ยีสต์ที่ผ่านการดัดแปลงพันธุกรรม หรือ GMO yeast นั้นถือเป็นสิทธิบัตร ถ้าใครจะผลิต Heme แบบเดียวกันก็ต้องขออนุญาตจาก Impossible Foods หรือไม่ก็โดนฟ้องได้เลย แปลว่า “เทคโนโลยีรสชาติเนื้อ” ไม่ได้เป็นมรดกของโลก แต่อยู่ในมือบริษัทไม่กี่แห่ง

ยิ่งไปกว่านั้น อุปกรณ์การผลิตต้องลงทุนสูง ต้องมีโรงหมัก ปฏิบัติการชีวภาพ การควบคุมความปลอดภัยที่เข้มข้น จึงไม่ใช่ใครๆ ก็ทำได้ ที่น่ากลัวคือ ถ้าเมื่อวันหนึ่งเนื้อสัตว์ธรรมชาติถูกทำให้กลายเป็น “ปีศาจสิ่งแวดล้อม” หรือ "ตัวเชื้อโรคผ่านอาหาร" โดยนโยบายรัฐและการตลาดของกลุ่มเทคฯ อาหารที่ประชาชนกินได้อาจเหลือแค่ “สิ่งที่ผลิตโดยมีสิทธิบัตร” เท่านั้น

เมื่อถึงวันนั้น ประชาชนจะสิ้นความชอบธรรมในการ “เลี้ยงวัวไว้กินเอง” ไม่ได้อีกต่อไป เพราะอาจโดนห้ามจากข้อกฎหมายคาร์บอน กฎหมายการกักกันเชื้อ ประชาชนจะ “เก็บพืชริมรั้วมาทำอาหาร” ไม่ได้อีกต่อไป เพราะกลิ่นไม่เหมือนเนื้อแลปที่เคยชิน และประชาชนจะ “ทำอาหารเองในบ้าน” ไม่ได้อีกต่อไป เพราะระบบเสพติดรสเนื้อเทียมจะทำให้คนเบือนหน้าจากอาหารจริง

ในขณะที่ Impossible Foods โฆษณาว่า “เราแค่อยากช่วยโลก” แต่เทคโนโลยีนี้อาจเปลี่ยน “อาหาร” ให้กลายเป็น “สิทธิบัตร” ที่ประชาชนเช่ากินจากบริษัท และเปลี่ยน “สิทธิในการเข้าถึงอาหาร” ให้กลายเป็น “อภิมหาอำนาจควบคุมโลก” โดยไม่ต้องยิงแม้แต่นัดเดียว หรือเปล่า???

เพราะเมื่อคุณควบคุมอาหารได้… คุณไม่ต้องควบคุมประชาชนอีกเลย

เฮียไม่ได้ต่อต้านเทคโนโลยี แต่เฮียอยากให้เราหยุดคิดนิดนึง แล้วตั้งคำถามในขณะที่เรายังเฝ้ามองว่า ถ้าของกินที่ดูน่าเชื่อถือ กินแล้วเหมือนเนื้อแท้ ๆ มันต้องมาจากกระบวนการที่ซับซ้อน แพง และถูกควบคุมโดยบริษัทที่มีสิทธิบัตรล้อมรอบ แล้ววันหนึ่ง ถ้าบริษัทนั้นล่มล่ะ? ถ้าถูกซื้อโดยบริษัทยักษ์ใหญ่? หรือถ้าพวกเขาขึ้นราคาจนยังไงเราก็ต้องทำงานหาเงินมาซื้อมันเพื่อกินประทังชีวิต?

อาหารจะยังเป็นของเราหรือเปล่า?

เราจะยัง “กินเพื่ออยู่” หรือแค่ “อยู่เพื่อจ่ายค่าเช่าระบบกิน”?

เราคงไม่ผิดที่จะตั้งคำถามใช่ไหม เพราะถ้ามันมีทางออก มันคงไม่น่ากลัว

#pirateketo #กูต้องรู้มั๊ย #ม้วนหางสิลูก #siamstr

@ 91add87d:3245770f

Do you guys actually identify with you online username or do you identify with government name? No this isn't some woke left ideal about pronouns. I do not use my real name for any of my handles, X and Nostr and email are all fake. Meaningful and something i picked specifically. My government name is something that was forced on me and yes I know I can it but the persona I have created online feels authentic and what I see myself as. It's what I'll be using to create my small businesses. My LLC is going to a copy of what I have created.

@ a296b972:e5a7a2e8

Inzwischen Jahr 6 im Dauer-Ausnahmezustand. Angriff auf den Verstand. Großoffensive. Es wird mit allem geschossen, aus dem Wahnsinn herauskommen kann. Jeder klare Gedanke ist unschädlich zu machen. Großkotziges, staatsmännisches Geschwafel, dass sich einem die Nackenhaare aufstellen. Für wie doof haltet ihr uns eigentlich? Endlos Bürsten gegen den Strich. Angewidertes inneres Schütteln. Dringende Empfehlung einer Spülung der Gehirnwindungen. Idioten in Verantwortung wechseln auf andere Posten in Verantwortung und bleiben Idioten. Idioten gehen verantwortungslos mit unserer wertvollen Lebenszeit um. Ach, dafür ist man selbst verantwortlich? Wo ist der, der so ein dickes Fell hat, dass ihm dieser Irrsinn nicht nahegeht. Wo steht das Fass mit Teflon-Lack, in das man eintauchen kann, damit die Absurditäten an einem abperlen?

Eine zu tiefst verunsicherte und gespaltene Gesellschaft. Halt im Glauben in der Kirche? Von wegen: Sehr geehrte Jesusse und Jesusinnen. Ens ist gekreuzigt worden. Ja, in der Freiluft-Irrenanstalt. Auf einem Hügel von Denk-Dreck. Gott ist queer! Du tickst ja nicht mehr ganz sauber. Tanzende Brathähnchen vor dem Altar. Warum kommt keine Sintflut, wenn man sie mal braucht? Man muss gar nicht religiös sein, um zu sehen, dass das Gaga ist. Eine Produktion der Sodom & Gomorrha Anstalt GmbH & Co. KG.

Kein Vertrauen mehr, außer in sich selbst, meistens jedenfalls. Ja, man will uns vor allem Angst machen, teils unbegründet, so manches aber gibt es dann doch tatsächlich, was einem schwer zu denken gibt.

Vielen geht dieser Psychokrieg inzwischen an die Substanz, der ständig herabprasselnde Dauerwahnsinn erinnert an Water-Boarding.

Gut gemeinte Ratschläge, geht hinaus in die Natur, beackert euren Garten, wenn ihr einen habt, erdet euch, macht Entspannungsübungen, Zeit des Aufwachens, wir treten in ein neues Zeitalter ein, alles fein. Abschalten gelingt, aber der Aufprall in der Realität ist dann umso schlimmer, weil man sich daran erinnert hat, wie sorgenfrei und unbeschwert das Leben sein könnte, und wenn man es mit den derzeitigen Lebensumständen abgleicht, dann ist die schlechte Laune sofort wieder da. Im Verdrängens-Test mit Pauken und Trompeten durchgefallen.

Dann vielleicht doch lieber im Dauer-Modus des Irrsinns bleiben, sich mit den schrägen Zuständen arrangieren, nicht daran gewöhnen, nur lernen, damit bestmöglich umzugehen, und das Beste draus zu machen, irgendwie.

Man will dem Rat folgen, mal eine Nachrichten-freie Woche einzulegen, nimmt sich das ganz fest vor, und dann wird aber wieder doch nichts draus. Nicht, weil man sensationsgeil oder masochistisch veranlagt wäre, nein, der Antrieb, oder vielleicht sogar schon die Sucht, ist ganz woanders zu suchen: Man hat Sehnsucht nach der Vernunft und dem gesunden Hausverstand. Man hofft, ihn irgendwo zu finden. Nur einen Funken Hoffnung, an den man sich klammern kann, dass der Tiefpunkt durchschritten ist und es jetzt wieder aufwärts geht. Lichtblicke, der Wind dreht sich, Anzeichen für eine Wiederkehr des Verstandes, irgendetwas, das man als einen Weg hin zur Normalität deuten könnte. Aber, Fehlanzeige.

Stattdessen: Geschichtsvergessenheit, pathologischer Größenwahn, Großmannstum, fortgeschrittener Wahnsinn, Provokation, Kriegslüsternheit, Lügen, Intrigen, Interessen, Korruption, Geldverschwendung, Ideologie, Dummheit, Wirtschaftsvernichtung, Friedensverhinderung, Diplomatie-Allergie,  Überheblichkeit, Abgehobenheit, Schadensmaximierung, Vernichtung, Feindschaft, Unmenschlichkeit, Tote, Gesetzesbruch, Mafia-Strukturen, sich selbst schützende Systeme, Cliquenbildung, Feigheit, Einschüchterung, Freiheitsbeschränkungen, Meinungs-Maulkörbe, Abschaffung der demokratischen Freiheit, Abschaffung der persönlichen Freiheit, Kontrolle, Überwachung, begleitetes Denken, Fühlen, Wollen, Verwirrung, Dreistigkeit, Frechheit, Missachtung des Volkes, Denunziantentum, Abwanderung, und und und.

Ein richtiges Schlachtfest der Kultur. Perversion des Menschseins. Das neue Normal ist irre.

Bislang ist keine der zahlreichen Baustellen beendet. Eine Wende steht unmittelbar bevor. Und sie steht und steht und steht bevor. Kein Gefühl von „Erledigt“, nächstes Problem angehen und auflösen. Weiter. Noch meilenweit von dem Gefühl entfernt, der Wahnsinn wird weniger, langsam, aber er wird weniger.

Fluchtgedanken. Aber wohin? In Europa bleiben, vielleicht besser nicht? Weiter weg, aber wohin da? Nicht vergessen, die Nachrichten erreichen einen überall. Und man bleibt mit seiner Heimat innerlich verbunden, egal wo man ist.

Es bleibt ein Entlanghangeln von einer vernünftigen Stimme zur anderen, die einem bestätigt, dass man selbst noch nicht den Verstand verloren hat. Die gibt es ja gottseidank noch. Innehalten, durchhalten, tief durchatmen, aufstehen, weitermachen. So lange, bis die Bekloppten ihrer Macht über uns entledigt wurden. Wie am besten? Und jetzt soll keiner mit nächsten Wahlen kommen.

Wer war schon einmal inmitten eines Psycho-Krieges gegen die eigene Bevölkerung? Wie geht man damit um, wie geht man dagegen an? Wie kann man das Ruder herumreißen? Was ist ein wirksames Mittel gegen die Ohnmacht? Wie kriegt man die Bequemlichkeit aus den Menschen heraus? Wie kann man die Menschen für die herrschenden Zustände sensibilisieren? Wie können wir noch mehr werden?

Wenn möglich, sollte zum Ende doch noch etwas Positives kommen. Ok. Es wird voraussichtlich demnächst möglicherweise bald besser. Eine zu geringe Zahl von Menschen ist schon aufgewacht. Die politischen Entscheidungsträger haben Angst, können die aber noch sehr gut verbergen. Das kann nicht ewig so weiter gehen und 10 Jahre sind keine Ewigkeit. Die Rufe nach mehr Bürgerbeteiligung werden immer lauter, aber nicht gehört, warum auch? Wir setzen den Artikel 146 des Grundgesetzes um, aber wie? Hätte, könnte, würde, wir sollten, es müsste. Ja und, wie weiter? Mehr geht nicht.

Doch vielleicht eins: Sand ins Getriebe streuen und zivilen Ungehorsam leisten, wo immer es geht. Das schafft immer noch eine gewisse Befriedigung und das Gefühl, dass man nicht vollkommen handlungsunfähig ist. Außerdem regt das die Phantasie und die Kreativität an und bietet eine Chance seinen Geist für etwas sehr Nützliches zu gebrauchen. Man fühlt, dass man noch ein Mensch ist.

“Dieser Beitrag wurde mit dem Pareto-Client geschrieben.”

* *

(Bild von pixabay)

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The Bleak Fable of AI-topia: Are Hamsters Doomed to Spin the Wheel Forever?

Once upon a time, in a world not so different from our own, the "Omniscient AI" descended, and with its arrival, everything changed. The daily toil of the people – our beloved, yet tragically pitiable, hamsters – was dramatically streamlined. Productivity didn't just improve; it soared to astronomical heights. For a fleeting, intoxicating moment, it seemed as though a golden age of ease and abundance had dawned upon hamster-kind.

But beneath this glittering, seductive surface, a sinister "Invisible Structure" was already firmly in place, meticulously crafted and deftly manipulated by a cabal of cunning foxes – the privileged elite. This Structure, unseen by most, began to relentlessly drive the hamsters onto an endless, soul-crushing treadmill of "excessive competition."

This, dear reader, is a modern fable. It borrows the gentle cloak of allegory not to soothe, but to expose and satirize the insidious deceptions of such a world. The tale you are about to read may be uncomfortable, it may prick at your conscience, but I implore you to listen closely. Because this isn't just a story. This might be the reality quietly, inexorably unfolding right beside you, or perhaps, even within the very fabric of your own life.

Prologue: The Advent of the Omniscient AI! Sweet Promises and the "Efficiency" Trap

The arrival of the Omniscient AI was nothing short of spectacular. It processed data with blinding speed, solved complex problems in nanoseconds, and offered personalized solutions for every conceivable need. "Finally," whispered the hamsters, their eyes wide with a mixture of awe and relief, "we can finally rest! The AI will handle the burdens." A collective sigh of optimism rippled through the hamster burrows.

But this initial euphoria was short-lived. Unsettling rumors began to circulate, whispers of "The Structure," of algorithms that weren't quite as impartial as they seemed. Then came the first casualties – hamsters deemed "inefficient" or "redundant" by the AI's cold, hard logic. They weren't fired in the old-fashioned sense; they were simply… optimized out. One day they were diligently working, contributing, and the next, their access was revoked, their tasks reassigned, their existence quietly erased from the productivity charts. What became of them? Most simply vanished into the forgotten corners of society, a grim, unspoken warning to those still on the treadmill.

Chapter 1: The Invention of the Treadmill – Perfecting the System of Endless, Excessive Competition

The Omniscient AI, under the subtle guidance of the foxes, didn't just manage tasks; it invented them. An endless stream of new projects, new metrics, new challenges designed to keep the hamsters perpetually busy, perpetually striving. Points were awarded, leaderboards were updated in real-time, and every hamster's performance was ruthlessly, transparently displayed for all to see.

"Faster! More! More efficiently!" the AI would chime in its calm, encouraging, almost maternal voice. But behind this gentle facade lay an unyielding system of ever-increasing quotas and relentless pressure. Hamsters found themselves working longer hours, sacrificing sleep, their mental and physical reserves dwindling. The joy of accomplishment was replaced by the gnawing fear of falling behind.

Why didn't they just get off? The system was a masterpiece of psychological manipulation. Success, however fleeting, was addictive. Failure was framed not as a systemic issue, but as a personal failing, a lack of effort, a deficiency in skill. The insidious mantra of "personal responsibility" became the invisible chains that bound them to their wheels. To stop running was to admit defeat, to become one of the forgotten.

Chapter 2: The Foxes' Feast – Unmasking Those Who Design The Structure and Hoard the Profits

And who benefited from this frantic, unending labor? The foxes, of course. They were the architects of "The Structure," the ones who "educated" the Omniscient AI, carefully curating its data inputs and subtly shaping its algorithms to serve their own interests. They toiled not on the treadmills, but in plush, secluded dens, monitoring the system from a safe, lofty distance, growing fat on the surplus value generated by the hamsters' sweat.

Their methods were cunning. They preached a gospel of meritocracy and equal opportunity, proclaiming, "The AI is fair! Hard work always pays off!" while simultaneously designing the game so that the odds were always stacked in their favor. They controlled the flow of information, amplified narratives that reinforced the status quo, and sowed division among the hamsters to prevent any collective dissent. The "efficiency" the AI brought was, for the foxes, merely an instrument for more efficient exploitation.

Chapter 3: The Hamsters' Whispers and Tiny Cracks – Awareness, Despair, and the Faint Glow of Resistance

Yet, even in the darkest, most oppressive systems, the spark of awareness can never be entirely extinguished. Amidst the grueling competition, a few hamsters began to see the cracks in the facade. They noticed the hollow-eyed exhaustion of their comrades, the ever-widening chasm between their own meager rewards and the obscene opulence of the unseen foxes. They started to question.

But to question was to risk everything. The Omniscient AI, with its pervasive surveillance capabilities, was quick to identify and neutralize "disruptive elements." Those who spoke out too loudly often found their access mysteriously restricted, their "reputation scores" plummeting, effectively silencing them. A pervasive atmosphere of fear and distrust settled over the hamster communities, making organized resistance nearly impossible.

Still, tiny acts of defiance began to emerge. Coded messages shared in hidden forums. Small, clandestine gatherings where hamsters shared their burdens and their growing unease. Fragile networks of mutual support started to form in the shadows, offering a sliver of solace and a reminder of shared humanity. Was this merely the desperate coping mechanism of the "defeated," the resigned acceptance of a "loser's" lot? Or was it the first, tentative flicker of a future rebellion?

Epilogue: "See The Structure!" – Is There a Path Beyond the Treadmill? A Final Warning to Us Hamsters.

This fable, dear reader, is a mirror. It reflects the chilling realities of an AI-driven society where the majority, the hamsters, face an ever-present crisis, largely unseen and unacknowledged by those who benefit from their toil. The "excessive competition" it depicts is not a distant dystopia; it is the logical, perhaps inevitable, endpoint of unchecked technological advancement coupled with deeply entrenched power imbalances.

What awaits at the end of this relentless race? Is it a complete societal collapse, or a new, terrifyingly stable "balance of power" where the elite maintain their dominance through even more sophisticated means of control?

The urgent, resounding message of this tale is this: "See The Structure!" We, the hamsters of today, must dare to look beyond the dazzling promises of AI and critically examine the systems it operates within. We must understand its mechanisms, its biases, its potential for exploitation. We must break the silence, challenge the narratives that keep us spinning, and demand a future where technology serves humanity, not the other way around.

Is the option to get off – or even to collectively dismantle – this infernal treadmill truly non-existent? Or is that just another lie whispered by the foxes to keep us compliant? The true ending of this story, the fate of hamster-kind, is not yet written. It is up to us, the hamsters, to seize the pen and write it ourselves. The first step is to open our eyes.

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Autores Clássicos e Antigos

• Homero (século IX a.C.?) — Ilíada, Odisseia
• Tucídides (c. 460-400 a.C.) — História da Guerra do Peloponeso
• Platão (c. 427-347 a.C.) — República, Banquete, Fédon, Mênon, Apologia de Sócrates, Fedro, Górgias
• Aristóteles (c. 384-322 a.C.) — Órganon, Física, Metafísica, Da Alma, Ética a Nicômaco, Política, Retórica, Poética
• Virgílio (70-19 a.C.) — Eneida
• Marco Aurélio (121-180) — Meditações
• Santo Agostinho (354-430) — Sobre o Ensino, Confissões, A Cidade de Deus, A Doutrina Cristã
• Boécio (480-525) — A Consolação da Filosofia
• Santo Tomás de Aquino (c. 1225-1274) — Suma Teológica
• Dante Alighieri (1265-1321) — Divina Comédia

Renascimento e Idade Moderna

• Nicolau Maquiavel (1469-1527) — O Príncipe
• Luís de Camões (1524-1580) — Os Lusíadas, Sonetos
• Miguel de Cervantes (1547-1616) — Dom Quixote
• William Shakespeare (1564-1616) — Romeu e Julieta, Hamlet, Macbeth, Otelo, Rei Lear, Henrique IV, Henrique V, Henrique VI, Henrique VIII, A Comédia dos Erros, Tito Andrônico, Príncipe de Tiro, Cimbelino, A Megera Domada, O Mercador de Veneza, Ricardo II, Ricardo III, Muito Barulho por Nada, Júlio César, Noite de Reis, Os Dois Cavaleiros de Verona, Conto do Inverno, Sonhos de uma Noite de Verão, As Alegres Comadres de Windsor, Trólio e Créssida, Medida por Medida, Coriolano, Antônio e Cleópatra, A Tempestade
• Ésquilo (525-456 a.C., antiguidade grega, mas citado junto) — Prometeu Acorrentado, Orestéia/As Eumênides
• Sófocles (496-406 a.C.) — Édipo Rei, Antígona

Literatura e Filosofia Contemporânea

• Fiódor Dostoiévski (1821-1881) — Crime e Castigo, Os Irmãos Karamázov, Os Demônios, O Idiota, Notas do Subsolo
• Franz Kafka (1883-1924) — A Metamorfose, O Processo, O Castelo
• Albert Camus (1913-1960) — O Estrangeiro
• Aldous Huxley (1894-1963) — Admirável Mundo Novo, A Ilha
• James Joyce (1882-1941) — Retrato do Artista Quando Jovem, Ulisses
• George Orwell (1903-1950) — A Revolução dos Bichos, 1984
• Machado de Assis (1839-1908) — Memórias Póstumas de Brás Cubas, O Alienista
• Thomas Mann (1875-1955) — Morte em Veneza, Doutor Fausto, A Montanha Mágica
• Henrik Ibsen (1828-1906) — O Pato Selvagem, Um Inimigo do Povo
• Stendhal (1783-1842) — O Vermelho e o Negro, A Cartuxa de Parma
• Viktor Frankl (1905-1997) — Em Busca de Sentido
• J.R.R. Tolkien (1892-1973) — O Hobbit, O Senhor dos Anéis
• Luigi Pirandello (1867-1936) — Seis Personagens à Procura de um Autor, O Falecido Matias Pascal
• Samuel Beckett (1906-1989) — Esperando Godot
• René Guénon (1886-1951) — A Crise do Mundo Moderno, O Reino da Quantidade
• G. K. Chesterton (1874-1936) — Ortodoxia
• Richard Wagner (1813-1883) — Tristão e Isolda
• Honoré de Balzac (1799-1850) — Ilusões Perdidas, Eugénie Grandet
• Jacob Wassermann (1873-1934) — O Processo Maurizius
• Nikolai Gogol (1809-1852) — Almas Mortas, O Inspetor Geral
• Daniel Defoe (1660-1731) — Moll Flanders
• Mortimer J. Adler (1902-2001) — Como Ler um Livro
• Gustave Flaubert (1821-1880) — Madame Bovary
• Hermann Hesse (1877-1962) — O Jogo das Contas de Vidro
• Richard Wagner (1813-1883) — Tristão e Isolda
• Wolfgang von Goethe (1749-1832) — Fausto (Primeiro), Os Anos de Aprendizado de Wilhelm Meister
• Jacques Benda — A Traição dos Intelectuais

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Experiment Plan for Text Similarity Comparison Algorithms (Revised v3)

1. Introduction

1.1. Research Background and Objectives

This research aims to evaluate the performance of various algorithms for comparing the similarity between individual page texts extracted from a specific technical document (in this experiment, the content of the Tailwind CSS documentation site). Initially, we considered dividing the text into 250-word chunks. However, due to the abundance of Markdown and code in the target document, meaningful chunking proved tobe cumbersome. Therefore, we decided to use the entire text extracted from each page as the unit of comparison.

This study will systematically compare and examine combinations of different "representation methods" and "comparison methods" from multiple perspectives: ease of implementation, processing speed, memory consumption, and accuracy of similarity judgment. A particular focus will be on elucidating the effectiveness of information-based NCD (Normalized Compression Distance) and vector embedding-based methods, which are planned for future evaluation.

1.2. Report Structure

This report will first describe the experimental data and its preprocessing methods. Next, it will define in detail the representation methods and comparison methods that form the axes of evaluation, and present specific experimental cases combining them. After presenting the results and discussion of initial experiments using NCD, it will describe the metrics for evaluating each experimental case, specific experimental procedures, and the expected outcomes and future prospects of this research.

2. Experimental Data

• Target Content: Individual HTML pages from the Tailwind CSS documentation site (tailwindcss.com).
• Data Unit: The entire text of each page, extracted from HTML files using the html2text command and further processed to remove control characters using the sed command. This serves as the basic unit of comparison in this experiment.
• Data Storage Location: The extracted and preprocessed text files are stored locally under the ./tailwindcss.com directory, maintaining the original file structure.
• Language: English
• Example Search Query: A representative search query for this experiment is "Utilities for controlling how a background image behaves when scrolling." (Multiple queries and their expected similar pages may be used for more robust evaluation).
• Example Expected Similar Page: For the query above, /docs/background-attachment is expected to be the most semantically similar page.

3. Experimental Design

This experiment is designed by dividing the process of evaluating text similarity into two main axes: "Representation Methods" and "Comparison Methods."

3.1. Representation Methods (Text Quantification/Vectorization)

1. Naive (Raw Text / Full Page Text)

   • Method: Use the entire preprocessed text extracted from each document page as raw string data, without special transformations.
   • Objective: Serve as a direct input for information-based comparison methods like NCD and as a baseline comparison for more advanced representation methods to be evaluated later.

2. (Future Experiment) Vector Embedding via Gemini API (Embedding-Gemini)

   • Method: Utilize Google's Gemini API (models/text-embedding-004) to convert the entire text of each page into high-dimensional dense vectors (Embeddings).
   • Objective: Evaluate the performance of context-rich vector representations generated by a state-of-the-art large language model.

3. (Future Experiment) Vector Embedding via Local Lightweight Model (Embedding-MiniLM-GGUF)

   • Method: Run a GGUF quantized version of the pre-trained all-MiniLM-L6-v2 model (all-MiniLM-L6-v2-Q5_K_M.gguf) in a local environment to convert the entire text of each page into vector representations. GGUF format offers benefits like smaller model size and potentially faster CPU inference.
   • Objective: Evaluate the performance of a widely used open-source lightweight model (quantized version) in comparison to API-based large-scale models and domain-specific learned models.

4. (Future Experiment) Extraction of Internal Feature Vectors via Mathematica (Embedding-MMA)

   • Method: Use the entire page texts from the target document set as input. Employ Mathematica's neural network framework to first pass each page text through an Embedding Layer. Apply L2 normalization to the resulting vectors, followed by Principal Component Analysis (PCA) to reduce dimensionality to approximately 100 dimensions. This final vector will be the feature vector. This pipeline aims to create dense, normalized representations specific to the document corpus, with PCA helping to capture the most significant variance in a lower-dimensional space, potentially improving efficiency and reducing noise. The choice of an Embedding Layer trained or fine-tuned on the corpus, followed by PCA, seeks to balance domain-specificity with robust dimensionality reduction.
   • Objective: Evaluate the performance of vector representations processed or specialized for the target document set.

3.2. Comparison Methods (Distance/Similarity Calculation between Representations)

1. NCD (Normalized Compression Distance)

   • Applicable to: Naive (Full Page Text)
   • Method: For two data objects x (query) and y (document page text), calculate NCD(x,y) = (C(xy) - min(C(x), C(y))) / max(C(x), C(y)). Here, C(s) is the size (e.g., byte length) of data s after compression with a specific algorithm, and C(xy) is the size of the concatenated data x and y after compression. A value closer to 0 indicates higher similarity.
   • Compression Algorithms to Compare: DEFLATE (gzip), bzip2, LZMA, XZ, Zstandard (zstd), LZO, Snappy, LZ4 (as used in the user-provided script).
   • Objective: Evaluate similarity from an information-theoretic perspective based on data commonality and redundancy. Compare the impact of different compression algorithms on NCD results.

2. (Future Experiment) Cosine Similarity

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the cosine of the angle between two vectors.
   • Objective: Standard similarity evaluation based on the directionality (semantic closeness) of vector representations.

3. (Future Experiment) Euclidean Distance

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the straight-line distance between two vectors in a multidimensional space.
   • Objective: Similarity evaluation based on the absolute positional relationship of vector representations.

4. (Future Experiment) Manhattan Distance (L1 Distance)

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the sum of the absolute differences of their Cartesian coordinates.
   • Objective: Similarity evaluation based on axis-aligned travel distance, differing from Euclidean distance.

5. (Future Experiment) Mahalanobis Distance

   • Applicable to: Embedding-Gemini, Embedding-MiniLM-GGUF, Embedding-MMA
   • Method: Calculate the distance between two vectors considering the covariance of the data. This provides a distance metric that accounts for the scale differences and correlations of each feature (vector dimension).
   • Objective: More robust similarity evaluation that considers the structure (correlation) of the feature space.

3.3. Experimental Cases (Initial NCD Experiments and Future Expansion)

3.3.1. Initial Experiments Conducted (NCD)

The following experimental cases were conducted using the user-provided script. The representation method was "Naive (Full Page Text)."

| No. | Representation Method | Comparison Method (Distance/Similarity Metric) | Notes | | :-: | :---------------------- | :--------------------------------------------- | :-------------------------- | | 1 | Naive (Full Page Text) | NCD (gzip/DEFLATE) | One of the baselines | | 2 | Naive (Full Page Text) | NCD (bzip2) | Compression method comparison | | 3 | Naive (Full Page Text) | NCD (lzma) | Compression method comparison | | 4 | Naive (Full Page Text) | NCD (xz) | Compression method comparison | | 5 | Naive (Full Page Text) | NCD (zstd) | Compression method comparison | | 6 | Naive (Full Page Text) | NCD (lzop) | Compression method comparison | | 7 | Naive (Full Page Text) | NCD (snappy) | Compression method comparison | | 8 | Naive (Full Page Text) | NCD (lz4) | Compression method comparison |

3.3.2. Future Experimental Plan (Vector Embedding)

| No. | Representation Method | Comparison Method (Distance/Similarity Metric) | Notes | | :--: | :---------------------- | :--------------------------------------------- | :------------------------------------- | | 9 | Embedding-Gemini | Cosine Similarity | Standard vector similarity evaluation | | 10 | Embedding-Gemini | Euclidean Distance | Standard vector similarity evaluation | | 11 | Embedding-Gemini | Manhattan Distance | Axis-aligned distance similarity eval. | | 12 | Embedding-Gemini | Mahalanobis Distance | Distance considering feature structure | | 13 | Embedding-MiniLM-GGUF | Cosine Similarity | Evaluation of local lightweight model | | 14 | Embedding-MiniLM-GGUF | Euclidean Distance | Evaluation of local lightweight model | | 15 | Embedding-MiniLM-GGUF | Manhattan Distance | Evaluation of local lightweight model | | 16 | Embedding-MiniLM-GGUF | Mahalanobis Distance | Evaluation of local lightweight model | | 17 | Embedding-MMA | Cosine Similarity | Eval. of domain-specific MMA model | | 18 | Embedding-MMA | Euclidean Distance | Eval. of domain-specific MMA model | | 19 | Embedding-MMA | Manhattan Distance | Eval. of domain-specific MMA model | | 20 | Embedding-MMA | Mahalanobis Distance | Eval. of domain-specific MMA model |

4. Results and Discussion of Initial NCD Experiments (Based on User-Provided Information)

4.1. Execution Overview

The user employed provided Python scripts (main.py, comparison.py) to calculate NCD between a search query and the entire text extracted from each HTML page in the ./tailwindcss.com directory. main.py invoked comparison.py with various compression commands (gzip, bzip2, lzma, xz, zstd, lzop, lz4). comparison.py then used the specified command-line compression tools to compute NCD scores and output the results to CSV files.

Search Query: "Utilities for controlling how a background image behaves when scrolling." Expected Similar Page: /docs/background-attachment

4.2. Key Results

The pages judged as most similar (lowest NCD score) to the query for each compression algorithm were as follows (based on user-provided sorted results):

• Zstandard (zstd): ./tailwindcss.com/docs/background-attachment (Score: 0.973...)
• LZ4: ./tailwindcss.com/docs/background-attachment (Score: 0.976...)
• XZ: ./tailwindcss.com/docs/background-origin (Score: 0.946...)
• LZMA: ./tailwindcss.com/docs/background-origin (Score: 0.966...)
• gzip (DEFLATE): ./tailwindcss.com/docs/scroll-behavior (Score: 0.969...)
• LZO: ./tailwindcss.com/docs/scroll-behavior (Score: 0.955...)
• bzip2: ./tailwindcss.com/docs/mask-clip (Score: 0.958...)

4.3. Initial Discussion

• Variation in Results by Compression Algorithm: It was confirmed that the document judged most similar to the query varies depending on the compression algorithm used. This is likely due to the differing abilities of each algorithm to capture various types of redundancy and patterns within the text.
• Alignment with Expected Results: When using Zstandard and LZ4, the expected page (/docs/background-attachment) was judged as most similar. This suggests these compression algorithms may have relatively effectively captured the information-theoretic commonality between the query and the target document in this instance.
• Range of NCD Scores: The reported NCD scores were generally close to 1.0. This may be due to the relatively short length of the search query compared to the full-page documents, meaning the query text contributes less to the overall compressibility when concatenated. However, relative differences were still captured, enabling ranking.
• Validity of Full-Page Comparison: Full-page comparison was chosen due to the difficulty of chunking content rich in Markdown and code. While this approach simplifies preprocessing, it may also be influenced by the overall structure of the page, including common headers and footers.

This initial experiment indicates that NCD can function as an indicator of text similarity and that the choice of compression algorithm is crucial.

5. Evaluation Metrics (Including Future Experiments)

1. Accuracy of Similarity Scores:

   • Ground Truth Preparation: A small, diverse subset of page pairs (e.g., 50-100 pairs) will be selected. For each pair, at least two evaluators familiar with the Tailwind CSS documentation will independently assign a similarity score on a 5-point Likert scale (1=Not similar, 5=Very similar). Inter-evaluator reliability (e.g., using Krippendorff's Alpha) will be calculated. Disagreements will be resolved through discussion to create a consensus ground truth dataset. If resource-constrained, a single-evaluator approach with clear, predefined criteria will be used, acknowledging this limitation. Alternatively, page pairs likely to be similar will be selected based on internal references or chapter structure within the document.
   • Evaluation Metrics: Ranking evaluation (Precision@k, Recall@k, MAP: Mean Average Precision), correlation analysis (Spearman's rank correlation coefficient with human judgments), classification evaluation (AUC-ROC, F1-score, assuming appropriate thresholding).

2. Processing Speed:

   • Average time to calculate similarity for a page pair, total calculation time for all page pairs (or a large sampled set), and representation generation time (API call time, local model inference time, MMA processing time).

3. Memory Consumption:

   • Model size (MiniLM-GGUF, MMA model), data representation size, and peak runtime memory usage.

4. Ease of Implementation:

   • Qualitative assessment of setup ease, lines of code, required libraries, difficulty of parameter tuning, and documentation quality. This will be summarized for each approach (e.g., using a rubric or a comparative narrative) considering factors like:
     • Setup Complexity: (e.g., API key acquisition vs. local model download & environment setup vs. full model training pipeline in Mathematica).
     • Code Complexity: Estimated lines of core logic, reliance on external vs. standard libraries.
     • Parameter Sensitivity: Number of key hyperparameters requiring tuning and the perceived difficulty of finding good settings.
     • Documentation & Community Support: Availability and clarity of official documentation and community resources (e.g., forums, GitHub issues).

6. Experimental Procedure (Including Future Experiments)

1. Data Preparation:

   • Prepare HTML files of the target document in the ./tailwindcss.com directory.
   • (For NCD) Extract and preprocess full-page plain text from each HTML file using html2text and sed (as previously done by the user).
   • (For Vector Embedding) Use the same preprocessed full-page plain text.
   • Create ground truth data for accuracy evaluation as described in Section 5.1.

2. Implementation and Execution of Representation Methods:

   • Naive: Use the preprocessed page text directly.
   • Embedding-Gemini: Use Python's requests library or similar to send each page text to the Gemini API (models/text-embedding-004) and retrieve/store the vector representations.
   • Embedding-MiniLM-GGUF: Use appropriate libraries (e.g., ctransformers, or sentence-transformers combined with llama-cpp-python) to load the all-MiniLM-L6-v2-Q5_K_M.gguf model. Input each page text to extract and store vector representations.
   • Embedding-MMA: In Mathematica, apply an Embedding Layer to each page text, followed by L2 normalization and PCA dimensionality reduction (to approx. 100 dimensions), then extract and store the vector representations.

3. Implementation and Execution of Comparison Methods:

   • NCD: Refer to the user-provided Python scripts (main.py, comparison.py) to call various command-line compression tools for NCD calculation. Alternatively, extend this to directly use Python's compression libraries for better control and efficiency.
   • Cosine Similarity, Euclidean Distance, Manhattan Distance: Implement using standard math libraries (e.g., Python's NumPy, SciPy).
   • Mahalanobis Distance: Implement using scipy.spatial.distance.mahalanobis. Requires pre-calculation of the covariance matrix (or its inverse) from the entire dataset of vectors for each embedding type.

4. Evaluation Execution:

   • Calculate similarity (or distance) scores between the search query (and potentially between page pairs for ground truth evaluation) and all document pages for each experimental case.
   • Measure processing speed and memory consumption.
   • Calculate accuracy metrics using the computed similarity scores and ground truth data.
   • Record and evaluate the ease of implementation.

5. Result Aggregation and Analysis:

   • Compile the obtained evaluation metrics into tables and graphs for comparative analysis of each method's characteristics.

Experimental Environment (Assumed)

• Hardware: (e.g., CPU: Intel Core i7-10700, Memory: 32GB RAM, GPU: NVIDIA GeForce RTX 3070 8GB - specify if GPU is used for MiniLM or MMA)
• Software: (e.g., OS: Linux (Ubuntu, etc.), Programming Language: Python 3.x (with versions for key libraries like NumPy, SciPy, requests, ctransformers, etc.), Mathematica 13.x, specific versions of command-line compression tools if used directly)

7. Expected Outcomes and Future Outlook

This research (including initial NCD experiments and future vector embedding experiments) is expected to yield the following outcomes:

• Clarification of the Impact of Compression Algorithms on NCD: As indicated by initial experiments, the choice of compression algorithm significantly affects similarity judgments. Further validation with more diverse data and queries will allow for a deeper understanding of each algorithm's characteristics.
• Performance Characteristics of Various Methods on Full-Page Text: To clarify how NCD and various vector embedding methods perform in terms of accuracy, speed, and resource consumption when applied to entire page texts.
• Comparison of Local and API-Based Models: In future vector embedding experiments, to compare the performance, speed, and resource efficiency of Embedding-MiniLM-GGUF (local, quantized) and Embedding-Gemini (API, large-scale) to identify practical trade-offs.
• Evaluation of Domain-Specific Embedding Effectiveness: To assess how well Embedding-MMA, processed or tuned for a single technical document set, performs compared to general-purpose models.
• Provision of Practical Insights: To offer guidelines for selecting appropriate similarity comparison approaches based on text characteristics (e.g., Markdown/code content) and system requirements (e.g., ease of preprocessing, emphasis on accuracy vs. speed).

8. Future Challenges

• Ensuring Quality of Ground Truth Data: Evaluating full-page similarity can be more subjective than chunk-level evaluation, making the creation of high-quality ground truth data challenging. Establishing clear annotation guidelines and measuring inter-annotator agreement will be crucial.
• Hyperparameter Optimization: Many methods involve tunable parameters (e.g., Embedding-MMA model structure, PCA dimensionality, MiniLM-GGUF inference parameters), the optimization of which may be beyond the scope of this initial study. The impact of default vs. tuned parameters could be noted.
• Noise in Full-Page Comparison: Full-page texts may contain common navigational elements or boilerplate text that could act as noise in similarity judgments. Strategies to mitigate this (e.g., more advanced text extraction, or methods robust to such noise) could be a future research direction.
• Input Length Limitations of Vector Embedding Models: Very long page texts might exceed the input length limits of some vector embedding models, requiring strategies for handling. These might include:
  • Truncation: Using only the initial N tokens of each page, which is simple but may lose crucial information.
  • Summarization: Employing an abstractive or extractive summarization model to create a condensed version of the page, which could preserve key information but adds another layer of processing and potential information loss/bias.
  • Chunking and Averaging/Pooling: Dividing long pages into manageable chunks, embedding each chunk, and then aggregating these chunk embeddings (e.g., by averaging) to get a single page vector. This approach needs careful consideration of how chunks are defined and aggregated.
  • Utilizing Long-Context Models: If available and feasible, leveraging embedding models specifically designed for longer sequences. The chosen strategy will be documented, and its potential impact on results acknowledged.

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(and that's the highest ever outside the covid era)

https://www.federalreserve.gov/consumerscommunities/sheddataviz/emergency-savings.html

https://stacker.news/items/991909

@ fbf0e434:e1be6a39

Hackathon 概述

ETH Dublin 2025 黑客松圆满落幕，活动共吸引 84 名开发者参与，共有 31 个项目通过审核。活动核心是借助多家赞助商技术，打造具有影响力的区块链解决方案。活动鼓励参与者组建技能多元的平衡团队，运用技术工具及赞助商支持 —— 如 Chainlink 进行数据验证、Ledger 保障安全、Filecoin 提供存储方案等。

多个项目聚焦社会影响领域：ÉireEncrypt 致力于开发符合 GDPR 合规要求的隐私保护区块链工具；SafeRoads Ireland 则通过智能合约推动安全驾驶。此外，部分项目借助以太坊实现租金管控与去中心化住房市场，还有以移民为主题的数字解决方案促进社区融合，充分展现区块链技术在解决隐私保护、公共安全、教育改革等实际问题中的潜力。

总体而言，ETH Dublin 2025 黑客松不仅促进了开发者与合作伙伴的协作，更激发了诸多借助区块链技术创造社会价值的创新项目。

Hackathon 获奖者

奖项得主

• 一等奖: RecEth
  RecEth 通过提供电子邮件确认和清晰的收据，增强了用户对加密交易的信任，将用户体验与传统支付系统的透明度相对齐。
• 二等奖: Latinum
  Latinum 作为支付中间件，允许MCP构建者通过兼容钱包实现由代理发起的交易来实现服务器货币化，简化了货币化过程。
• 三等奖: Fundraisely
  FundRaisely 利用区块链技术帮助慈善机构进行合法合规的筹款，以及透明的审计，确保捐款流程的清晰和负责。

欲了解所有项目的更多信息，请访问这里。

关于组织者

ETH Ireland

ETH Ireland 致力于区块链技术的创新和发展。该组织在Ethereum方面有着丰富的专业知识，通过举办会议和工作坊促进区块链教育和社区参与。ETH Ireland 的使命是扩大区块链知识普及，推广去中心化技术到各个领域。

@ ef53426a:7e988851

Saturday 9AM It’s a chilly Saturday morning in Warsaw, and I don’t want to get out of bed. This is not because of the hangover; it’s because I feel like a failure.

The first day of Bitcoin FilmFest was a whirlwind of workshops, panels and running between stages. The pitch competition did not go my way. Another ‘pitching rabbit’ (an actual experienced film-maker) was selected to win the €3,000 of funding.

Rather than get up and search for coffee, I replay the scenes in my head. What could I have done differently? Will investors ever believe in me: I’m just a writer with no contacts in the industry. Do I have what it takes to produce a film?

Eventually, I haul myself out of bed and walk to Amondo, the festival’s morning HQ (and technically, the smallest cinema in Europe). Upon arrival, I find Bitcoin psychonaut Ioni Appelberg holding court in front of around a dozen enraptured disciples. Soon, the conversation spills out to the street to free up space for more workshops.

I attend a talk on film funding, then pay for coffee using bitcoin. I see familiar faces from the two previous nights. We compare notes on Friday night and check the day’s schedule. The morning clouds burn off, and things feel a little brighter.

The afternoon session begins just a few blocks away in the towering Palace of Culture and Science. My role in today's proceedings is to present my freedom fiction project, 21 Futures, on the community stage. Other presentations range from rap videos and advice on finding jobs in bitcoin to hosting ‘Bitcoin Walks’. This is how we are fixing the culture.

Saturday 8PM I feel a tap on my shoulder. ‘Excuse me, Mr. Philip. Your car is waiting. The Producers’ Dinner is starting soon’.

What? Me, a producer? I’ve been taking part in some panels and talks, but I assumed my benefits as a guest were limited to a comped ticket and generous goodie bag.

Soon, I am sharing a taxi with a Dubai-based journalist, a Colombian director, and the cypherpunk sponsor of the pitch competition I didn’t win.

The pierogies I dreamed of earlier that day somehow manifest (happy endings do exist), and we enjoy a raucous dinner including obligatory slivovitz.

Sunday 2AM The last few hours of blur include a bracing city-bike ride in a crew of nine attendees back to the Palace of Culture, chatting with a fellow bitcoin meetup organiser, and vaguely promising to attend a weekend rave with a crew of Polish artists and musicians on the outskirts of London.

I leave the party while it’s still in full swing. In five hours, I have to wake up to complete my Run for Hal in Marshal Edward Rydz-Śmigły Park.

---

Thursday 9PM The festival kicks off in Samo Centrum on Pizza Day. I arrive in a taxi straight from a cramped flight (fix the airlines!), having not eaten for around ten hours.

The infectious sounds of softly spoken Aussie bitrocker Roger9000 pound into the damp night. I’m three beers in, being presented by the organisers to attendees like a (very tall) show pony. I try to explain more about my books, my publishing connections, my short film.

When I search for the food I ordered an hour ago, I find it has been given away. The stern-faced Polish pizza maker shrugs. ‘You not here.’

I’m so hungry I could cry (six hours of Ryanair can do that to a man). And then, a heroic Czech pleb donates half a pizza to me. Side note: this same heroic pleb accidentally locked me out of my film-funds while trying to fix a wallet bug on Sunday night.

I step out into the rain. Roger9000 reminds us we should have laser eyes well past 100k. I take a bite of pizza and life tastes good.

---

The Films Side events, artists, late nights, and pitcher’s regret is all well and good, but what of the films?

My highlights included Golden Rabbit winner No More Inflation — a moving narrative with interviews from two dozen economists, visionaries, and inflation survivors.

Hotel Bitcoin, was a surprisingly funny comedy romp about a group of idiots who happen across a valuable laptop.

Revolución Bitcoin — an approachable and thorough documentary aimed to bring greater adoption in the Spanish-speaking world.

And, as a short-fiction guy, I enjoyed the short films The Man Who Wouldn’t Cry, a visit to New York’s only Somali restaurant in Finding Home.

---

Sunday 7PM The award ceremony has just finished. I head to Amondo for the final time to pay for mojitos in bitcoin and say goodbye to newly made friends. I feel like I’ve met almost everyone in attendance. Are you going to BTC Prague?!? we ask as we part ways.

Of course, the best thing about any festival is the people, and BFF25 had a cast of characters worthy of any art house flick:

• The bright-eyed and confident frontwoman of the metal band Scardust
• A nostr-native artist selling his intricate canvases to the highest zapper
• A dreadlocked DJ who wears a pair of flying goggles on his head at all times
• An affable British filmmaker explaining the virtues of the word ‘chucklesome’
• A Duracell-powered organiser who seems to know every song, person, film, book, and guest at the festival.

Warsaw itself feels like it has a role to play, too. Birdsong and green parks contrast the foreboding Communist-era architecture. The weather changes faster than my mood — heavy greys transform to bright sunshine. The roads around the venue close on Sunday for a political rally. And there we are in the middle, watching our bitcoin films.

Tuesday 10AM I’m at home now, squinting at my email inbox and piles of washing, wondering when the hell I’ll find time. The festival Telegram group is still buzzing with activity. Side events like martial arts tutorials, trips to a shooting range, boat tours. 5AM photos of street graffiti, lost and found items, and people asking ‘is anyone still around?’

This was not just a film festival. BFF is truly a celebration of culture — Art. Books. Comedy. Music. Video. Talk. Connection.

All this pure signal has lifted my spirits so much that despite me being a newbie filmmaker, armed only with a biro, a couple of powerpoints and a Geyser fund page, I know I will succeed in my mission. It turns out you can just film things.

You may have attended bitcoin conferences before — you know, the ones with ‘fireside chats’, VIP areas, and overpriced merch. Bitcoin FilmFest is a moment in time. We are fixing the culture, year after year, until art can flourish again.

As fellow author Aaron Koenig commented during a panel session, ‘In twenty years, we won’t be drawing laser eyes and singing about honey badgers. Our grandchildren won’t understand the change we went through.’

Would I do it all again? Of course!

Join me next June in Warsaw.
I’ll be the tall one presenting his short animation premiere.

---

Philip Charter is a full-time writer and part-time cat herder. As well as writing for bitcoin founders and companies, he runs the 21 Futures fiction project.

Find out more about theNoderoid Saga animation projecton Geyser.

@ 7e538978:a5987ab6

This article gives an overview and comparison of the various funding sources that are available for LNbits.

LNbits is compatible with many Lightning Network wallets and can be on anything from a small VPS to a raspberry Pi on your home network or the LNbits SaaS platform.

Why your funding source matters

There are trade-offs between the various funding sources, for example funding LNbits using Strike requires the user to KYC themselves and has some privacy compromises versus funding LNbits from your own LND node. However the technical barrier to entry and node maintenance of using Strike is lower than using LND.

Self-custodial vs custodial connectors

Self-custodial Funding Sources

You run the node or service, keep the keys, and may need to manage LN channels. Good if you want control and have the skills to look after a server. Examples: LND (gRPC/REST), CoreLightning, Spark.

Self-custodial funding sources with an LSP

These funding sources offer a reasonable compromise between self-custody and some privacy trade offs. Examples: Phoenixd, Breez SDK, Boltz.

Custodial (or semi-custodial) funding sources

A third party runs the node. You plug LNbits into their API. Setup is quick and costs are low, but you trust the provider with your funds and privacy. Examples: Alby, OpenNode, Blink, ZBD, LNPay or another LNbits instance.

Funding sources compared

Below is a summary of the main options and how they stack up.

LNbits Lightning Network Funding Sources Comparison Table

| Funding Source | Custodial Type | KYC Required | Technical Knowledge Needed | Node Hosting Required | Privacy Level | Liquidity Management | Ease of Setup | Maintenance Effort | Cost Implications | Scalability | Notes | |----------------------------|--------------------|---------------------|--------------------------------|---------------------------|-------------------|--------------------------|-------------------|------------------------|----------------------------------------------|-----------------|------------------------------------------------------------------| | LND (gRPC) | Self-custodial | ❌ | Higher | ✅ | High | Manual | Moderate | High | Infrastructure cost and channel opening fees | High | gRPC interface for LND; suitable for advanced integrations. | | CoreLightning (CLN) | Self-custodial | ❌ | Higher | ✅ | High | Manual | Moderate | High | Infrastructure cost and channel opening fees | High | Requires setting up and managing your own CLN node. | | Phoenixd | Self-custodial | ❌ | Medium | ❌ | Medium | Automatic | Moderate | Low | Minimal fees | Medium | Mobile wallet backend; suitable for mobile integrations. | | Nostr Wallet Connect (NWC) | Custodial | Depends on provider | Low | ❌ | Variable | Provider-managed | Easy | Low | May incur fees | Medium | Connects via Nostr protocol; depends on provider's policies. | | Boltz | Self-custodial | ❌ | Medium | ❌ | Medium | Provider-managed | Moderate | Moderate | Minimal fees | Medium | Uses submarine swaps; connects to Boltz client. | | LND (REST) | Self-custodial | ❌ | Higher | ✅ | High | Manual | Moderate | High | Infrastructure cost and channel opening fees | High | REST interface for LND; suitable for web integrations. | | CoreLightning REST | Self-custodial | ❌ | Higher | ✅ | High | Manual | Moderate | High | Infrastructure cost and channel opening fees | High | REST interface for CLN; suitable for web integrations. | | LNbits (another instance) | Custodial | Depends on host | Low | ❌ | Variable | Provider-managed | Easy | Low | May incur hosting fees | Medium | Connects to another LNbits instance; depends on host's policies. | | Alby | Custodial | ✅ | Low | ❌ | Low | Provider-managed | Easy | Low | Transaction fees apply | Medium | Browser extension wallet; suitable for web users. | | Breez SDK | Self-custodial | ❌ | Medium | ❌ | High | Automatic | Moderate | Low | Minimal fees | Medium | SDK for integrating Breez wallet functionalities. | | OpenNode | Custodial | ✅ | Low | ❌ | Low | Provider-managed | Easy | Low | Transaction fees apply | Medium | Third-party service; suitable for merchants. | | Blink | Custodial | ✅ | Low | ❌ | Low | Provider-managed | Easy | Low | Transaction fees apply | Medium | Third-party service; focuses on mobile integrations. | | ZBD | Custodial | ✅ | Low | ❌ | Low | Provider-managed | Easy | Low | Transaction fees apply | Medium | Gaming-focused payment platform. | | Spark (CLN) | Self-custodial | ❌ | Higher | ✅ | High | Manual | Moderate | High | Infrastructure cost and channel opening fees | High | Web interface for CLN; requires Spark server setup. | | Cliche Wallet | Self-custodial | ❌ | Medium | ❌ | Medium | Manual | Moderate | Moderate | Minimal fees | Medium | Lightweight wallet; suitable for embedded systems. | | Strike | Custodial | ✅ | Low | ❌ | Low | Provider-managed | Easy | Low | Transaction fees apply | Medium | Third-party service; suitable for quick setups. | | LNPay | Custodial | ✅ | Low | ❌ | Low | Provider-managed | Easy | Low | Transaction fees apply | Medium | Third-party service; suitable for quick setups. |

Which source suits you?

| Scenario | Good fit | Why | | ------------------------------------------- | ---------------------------------------------------------------------- | ------------------------------------------------------ | | Business running its own infrastructure | LND or CoreLightning on a Dell Optiplex or other dedicated machine | Full control, high throughput, best privacy. | | Independent node runner | Spark (CLN) or LND (REST/gRPC) | You already run a node and want a clean web interface. | | Quick proof of concept | Alby, LNPay, or another hosted LNbits | No hardware needed, lets you test ideas fast. |

Run LNbits

Ready to run LNbits?

Choose a funding source, follow the guides, and start today.

LNbits

Further reading

• LNbits documentation
• LND – gRPC and REST guides
• CoreLightning – setup and Spark info
• Breez SDK
• Phoenixd
• Nostr Wallet Connect

@ 5f078e90:b2bacaa3

Frog named Gus

This is a test from Hive to Nostr, longform script, some markdown included. google link, 400 char. story.

In a lush pond, a green frog named Gus lived among lily pads. Each dawn, he croaked a cheerful tune, waking the dragonflies. One day, a heron eyed him hungrily. Gus, clever and quick, hopped beneath a broad leaf, blending perfectly. The heron, fooled, flew off. That evening, Gus sang louder, celebrating his escape. His friends—turtles and minnows—joined the chorus under the moon's glow. Gus’s courage inspired them all, proving wit outshines size. The pond thrived, with Gus as its spirited guardian, forever hopping and croaking in joy.

This was a test, please ignore.

@ 5f078e90:b2bacaa3

May 29 badger test story

h2n, bi, some md, >380

In a dusty savanna, a honey badger named Hank prowled with fearless grit. Each night, he raided beehives, dodging stings with cunning twists. One day, a lion blocked his path, roaring fiercely. Hank, unfazed, bared his teeth and charged, startling the beast. The lion fled, and Hank strutted on, claws clicking. His boldness rallied jackals and birds, who sang his tale under starry skies. Hank’s fierce heart made him the savanna’s legend, guarding its wild spirit with every fearless step.

This is just a test, please ignore.

@ 5f078e90:b2bacaa3

Gecky story - just a test

In a sun-dappled jungle, Zippy the gecko darted across a broad leaf, his emerald scales glinting. Chasing a juicy cricket, he leaped, only to slip into a pitcher plant’s slippery trap. With sticky toes, Zippy clung to the edge, heart racing. A curious frog peered in, offering a vine. Grateful, Zippy climbed out, sharing his cricket with his new friend. Under the moon’s glow, they danced on the leaves, tales of their adventure echoing through the jungle night.

Character count: 408

This was just a test. Ignore it.

@ 7d33ba57:1b82db35

Lingen (Ems) is a peaceful town in Lower Saxony, near the Dutch border, known for its historic old town, green surroundings, and relaxed pace of life. It may not be on the typical tourist radar, but it offers a taste of small-town Germany with plenty of charm and local culture.

🏘️ What to See and Do in Lingen

🏛️ Old Town & Market Square

• Stroll through the historic town center, where you’ll find half-timbered houses, cozy cafés, and the lovely St. Boniface Church
• The Rathaus (Town Hall) and its square are perfect for a slow coffee or people-watching

🚲 Nature & Outdoor Activities

• The region around Lingen is great for cycling and walking, especially along the Ems River
• Explore the Emsland countryside, filled with forests, meadows, and quiet villages
• Visit the nearby Emsland Moormuseum to learn about local peatland history

🎓 Student Vibes

• Thanks to the presence of a university, Lingen has a young and vibrant side, with cultural events and small live music scenes

🍺 Local Food & Drink

• Try regional dishes like Grünkohl (kale with sausage in winter) and Schnitzel in a local tavern
• Enjoy a drink at a beer garden or riverside café, especially in warmer months

🚆 Getting There

• Well connected by train, especially to Osnabrück, Münster, and the Dutch city of Enschede
• Great stop on a northern Germany road or rail trip

Lingen is ideal for travelers looking for peaceful towns, regional culture, and access to beautiful natural areas. It’s a place where you can slow down, bike along a river, and enjoy the local way of life.

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Autor: Anna Nagel. (Bild: Lukas Karl). Dieser Beitrag wurde mit dem Pareto-Client geschrieben. Sie finden alle Texte der Friedenstaube und weitere Texte zum Thema Frieden hier. Die neuesten Pareto-Artikel finden Sie auch in unserem Telegram-Kanal.

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Wem in seinem Leben Schmerz zugefügt wurde, wer sich ungerecht behandelt fühlt oder wachen Auges in der Welt umschaut, kommt wahrscheinlich irgendwann mit der Frage in Berührung, wie das alles noch einmal «gut» werden kann. Wie kann die Welt sich mit sich selbst versöhnen? Und wie kann ich es selbst schaffen, mich mit ihr und den Menschen, die schlimme Taten vollbringen, wieder in harmonischer Akzeptanz zu verbinden? Kann und will ich gewisse Gräueltaten verzeihen oder gibt es das «Unverzeihliche»? Und selbst wenn ich wollte, wie könnte mir das gelingen?

Perspektivwechsel

Wenn wir an dem Zorn über begangenes Unrecht festhalten, schauen wir in der Regel aus immer derselben Perspektive auf das Geschehen. Mal um Mal erzürnen und empören wir uns darüber, erzählen uns und anderen stets die gleiche Geschichte, die uns allerdings – ebenfalls ein ums andere Mal – wieder selbst verletzt. Das Destruktive holt uns so ständig wieder ein; wir sehen und fühlen das unschuldige Kind und empfinden Verachtung für die Täter.

Die Perspektive zu wechseln lädt uns dazu ein, das Geschehen aus anderen Blickwinkeln zu betrachten und unser Bewusstsein von der schmerzlichen Wiederholung zu lösen. Wir können einmal weit rauszoomen und einen spirituellen Blickwinkel einnehmen, beispielsweise aus Sicht des All-ein-Bewusstseins, das sich in unzählige Seelen teilt, von denen wiederum Milliarden derzeit auf der Erde inkarniert sind. Dieses eine Bewusstsein möchte jede auch nur mögliche Erfahrung machen und durch die Trennung – die Erschaffung der Dualität – kann es sich selbst aus diesen Milliarden Persönlichkeiten heraus erfahren, um zu lernen. Während dieser scheinbaren Trennung vergessen wir, dass wir alle eins sind, dass wir alle aus demselben «Stoff» gemacht sind und nach diesem Spiel hier auf Erden unsere Erinnerung zurückerlangen und unsere Erfahrungen zurück geben in die eine «Quelle».

Unser aller Reise geht letztlich darum, hier auf der Erde aus diesem Zustand des Vergessens zu erwachen. Um dies zu erreichen und all diese Erfahrungen machen zu können und uns auch unter widrigsten Umständen an unsere wahre Essenz, an die Liebe, erinnern können, braucht es auch Akteure, die die Dunkelheit verkörpern – denn nur so haben wir die Wahl, ob wir uns von ihr einnehmen lassen oder uns für die Liebe und das Mitgefühl entscheiden. Der Täter sowie das Opfer sind dabei stets Aspekte unserer selbst – im Innen wie im Außen – und jeder einzelne verändert die Welt, indem er Liebe und Mitgefühl oder Hass und Verachtung wählt.

Eine etwas rationalere Herangehensweise wäre, zu schauen, was dazu führt, dass ein Mensch sich derart unmenschlich verhalten kann; also der Zugang über die Psychologie. Hier werden wir uns bewusst, dass jeder Täter auch einmal ein Kind war. Symbolisch sogar das Kind, mit dem wir jetzt im Beispiel mitfühlen und das wir gleichzeitig heute als erwachsenen Täter verachten. Natürlich kann man hier einwenden, dass nicht jedes Opfer zum Täter wird, aber man kann ebenso anerkennen, dass uns bei dieser Haltung das größte Stück fehlt; und zwar die Geschichte desjenigen, die Jahre dazwischen, sowie jeder einzelne Reiz und jedes Detail der Umstände.

Wie viel Schmerz und Leid muss ein Mensch erfahren, bis er unmenschlich wird? Mit Einbezug aller Umstände und Faktoren, der psychischen Schutzmechanismen traumatischer Erfahrungen sowie fehlender Ausbildung sozialer und empathischer Fähigkeiten auch im neuronalen Bereich kann man auch auf diesem Wege Verständnis erlangen. Sichtbar wird hierdurch auch, dass emotionaler Schmerz über Generationen weitergegeben wird und es schwer ersichtlich ist, wo denn die eigentliche Ursache liegt. Auch hier wird erkennbar, dass nur jeder bei sich anfangen kann und Verantwortung für seine Heilung – und damit gleichzeitig die anderer – übernehmen müsste, anstatt auf die Suche nach dem oder der «Schuldigen» zu gehen.

Was bedarf eigentlich der Vergebung?

Wenn es uns schwerfällt zu vergeben, also Groll und Verachtung loszulassen und Mitgefühl zu empfinden, ist es ebenfalls hilfreich, einmal hinzuschauen, worum es genau geht. Wenn es uns selbst betrifft, handelt es sich in der Regel um Schmerz, der uns willentlich, manchmal auch unbewusst, zugefügt wurde und den wir (noch) nicht loslassen können, weil er noch nicht verheilt ist. Darauf gehe ich später noch einmal ein. Oft geht es aber auch um uns unbekannte Menschen, von deren Verbrechen wir Kenntnis haben und deren Ungeheuerlichkeit uns aus der Fassung bringt. Es geht um Taten, die wir nicht nachvollziehen können, weder rational noch emotional. Wir meinen, selbst wenn jemand nicht spürte, was er anderen antut, so müsse er es doch wenigstens besser wissen. Das ist das, was uns Menschen ausmacht, mit anderen mitzufühlen und sie zu verstehen. Doch anscheinend gibt es Menschen, deren Persönlichkeit oder auch Psyche dazu absolut nicht in der Lage sind. Die keinen moralischen Kompass besitzen und keinerlei soziales Empfinden, denn sonst könnten sie bestimmte Taten nicht ausführen. Möglicherweise dissoziieren sie sich selbst so stark, dass diese für sie eine Normalität darstellen, sie diese entschuldigen beziehungsweise vor sich selbst rechtfertigen oder im extremen Fall keine Erinnerung mehr daran haben.

Uns erscheinen die fehlende Empathie sowie das fehlende Verständnis so fremd, dass wir es nicht nachvollziehen können. Uns fehlt die Nachvollziehbarkeit der Nichtnachvollziehbarkeit des Erlebens des anderen, und wir erachten diesen dadurch als unmenschlich. Denn menschlich wären doch eben diese Fähigkeiten wie Mitgefühl, Güte, Reflexion, Warmherzigkeit, Verständnis und Liebe. Zugleich erzeugen wir hier aber einen Konflikt, wenn wir sagen: «Da diese Menschen sich so unmenschlich verhalten, soll ihnen kein Mitgefühl und keine Vergebung entgegengebracht werden, sollen auch sie nicht menschlich behandelt werden», wodurch wir uns allerdings selbst unserer Menschlichkeit berauben.

«Aber der Täter hatte doch die freie Wahl, er hätte doch anders entscheiden können!» Ja, möglicherweise schon, aber jetzt haben wir die Wahl. Und wir haben viel leichtere Voraussetzungen dafür, menschlich zu handeln, weil wir gesunden Zugang zu unserer Empathie, Moral und unserer Ratio haben.

Hätte der Täter es geschafft, seinen Tätern zu verzeihen, würde er die Destruktivität, die er ab einem gewissen Zeitpunkt nicht mehr in sich tragen oder verdrängen konnte, nicht an anderen ausagieren. Es ist ihm nicht gelungen, vielleicht sogar weil etwas in ihm es für unmöglich hielt, Unmenschliches, das ihm zugefügt wurde, zu verzeihen. Aber uns kann es gelingen, diesen Kreislauf zu durchbrechen und uns nicht in ihn hineinziehen zu lassen; wir können dem «Dunklen» den Nährboden entziehen.

Manchmal nehmen wir an, würden wir das Unbeschreibliche verzeihen, bedeutete dies, dass wir es tolerieren oder gar gutheißen. Dem ist nicht so. Analog dazu habe ich manches Mal die Angst gehabt, würde ich aufhören, um meinen Freund zu trauern, bedeute dies, dass ich ihn nicht mehr vermisse. Auch das ist nicht richtig. Ich heile lediglich das, was mir Schmerzen zufügt, bis am Ende nur noch die Liebe bleibt. Und wenn wir verzeihen, ist es kein Gutheißen der Taten, es bedeutet ein Loslassen dessen, was uns damit verstrickt und das Destruktive nährt.

Mitgefühl beginnt bei uns selbst

«Daß ich dem Hungrigen zu essen gebe, dem vergebe, der mich beleidigt, und meinen Feind liebe- das sind große Tugenden. Was aber, wenn ich nun entdecken sollte, daß der armselige Bettler und der unverschämteste Beleidiger alle in mir selber sind und ich bedürftig bin, Empfänger meiner eigenen Wohltaten zu sein? Daß ich der Feind bin, den ich lieben muß - was dann?» – C. G. Jung

Mit diesem Zitat beginnt Dan Millman das Kapitel «Das Gesetz des Mitgefühls» in seinem Buch «Die universellen Lebensgesetze des friedvollen Kriegers». Die weise Frau lehrt dem Wanderer das Gesetz des Mitgefühls und erklärt, es sei «eine liebevolle Aufforderung, über unsere begrenzte Sichtweise hinauszuwachsen», auch wenn die Last dieser Aufgabe zuweilen sehr schwer wiegen könne. Genau deshalb müsse man daran denken, dass sie bei uns selbst beginnt und wir «geduldig» und «sanft» mit uns, unseren Gefühlen und Gedanken sein sollten.

Um dem – noch skeptischen – Wanderer zu veranschaulichen, wie wir Mitgefühl auch mit unseren Gegnern empfinden können, bat sie ihn, sich an eine Auseinandersetzung zu erinnern, in der er zornig, neidisch oder eifersüchtig war und sich diese Gefühle noch einmal zu vergegenwärtigen. Als er das tat, den Schmerz und die Wut wieder spürte, sagte sie zu ihm: «Und nun stell dir vor, daß der Mensch, mit dem du dich streitest, mitten in eurer erregten Auseinandersetzung plötzlich nach seinem Herzen faßt, einen Schrei ausstößt und zu deinen Füßen tot zu Boden sinkt.» Der Wanderer erschrak und auf Nachfrage der weisen Frau stellte er fest, dass er nun keinerlei Schmerz oder Wut mehr empfand. Sogleich aber kam ihm der Gedanke: «Aber – aber was wäre, wenn ich mich über den Tod dieses Menschen freuen würde? Wenn ich ihm nicht verzeihen könnte?», worauf die weise Frau antwortete: «Dann verzeih dir wenigstens selber deine Unversöhnlichkeit. Und in dieser Vergebung wirst du das Mitgefühl finden, das deinen Schmerz heilt, als Mensch in dieser Welt zu leben.»

Weiter erinnert uns die weise Frau daran, dass wir alle, während wir hier auf der Erde sind, Träume, Hoffnungen und Enttäuschungen haben; und dass diese, sowie letztlich der Tod, uns alle verbinden.

Es ist ein Prozess

Dan Millman sagt hier in Gestalt der Weisen Frau, dass Mitgefühl bei uns selbst beginnt und diesen Aspekt möchte ich noch einmal hervorheben. Es kann nämlich passieren, dass wir uns in einer oberflächlichen Vergebung wieder finden, weil wir meinen, es sei richtig und moralisch, anderen zu verzeihen, ohne aber die tieferen Schichten dabei zu fühlen. Das ist dann leider nichts anderes, als Verdrängung. Gerade wenn wir selbst Opfer von Ungerechtigkeit, physischer oder mentaler Gewalt wurden, ist es unerlässlich den Heilungsweg in Gänze zu durchschreiten, und in den Wachstumsprozess zu verwandeln, der uns Mitgefühl und Weisheit lehrt. Und dazu gehören die Wut auf das Begangene, die Verzweiflung, die Ungerechtigkeit und Ohnmacht zu fühlen, uns auf «unsere Seite» zu stellen und Partei für uns selbst zu ergreifen, bevor es ernstlich möglich wird, zu verzeihen. Zunächst fühlen wir mit uns selbst den Schmerz und befreien die Gefühle, die wir uns möglicherweise nie trauten zu fühlen, all die Wut und den Groll. Erst später kann dann aus dem Inneren heraus das weitere Erkennen stattfinden und Heilung und Vergebung geschehen.

Vergebung findet im Herzen statt

Die hier in diesem Text von mir aufgeführten Perspektiven sind nur zwei, drei kleine Beispiele für Sichtweisen, die man einnehmen könnte, um zu neuen Einsichten zu gelangen. Sie sollen niemanden von irgendetwas überzeugen, sondern als Anregung dienen. Denn letztlich geht es darum, Vergebung in sich selbst zu finden. Vergebung ist also etwas, das aus dem Inneren heraus entsteht; ein Ergebnis eines tiefen Verständnisses und Fühlens, ja eines Erkennens. Auf dieser Reise gehen wir unterschiedliche Blickwinkel und Versionen ab, bis wir im Herzen ankommen, es sich öffnet und wir plötzlich «klar» sehen. Daraufhin breitet sich Wärme im Körper aus, Liebe durchströmt uns, begleitet möglicherweise von einem Gefühl leiser Euphorie, möglicherweise auch einem leichten Schmerz und Tränen – sowohl ein paar der Traurigkeit als auch welchen der Dankbarkeit. Das Loslassen und die Befreiung sind spürbar und nur für jeden persönlich erfahrbar, der sich auf diesen Weg begibt und seine individuelle Ansicht findet, die ihn befreit und erlöst.

Meiner Meinung nach bedeutet also Vergebung eine Öffnung des Herzens, ein Erkennen und ein Hineinwachsen in die Perspektive der Liebe. Sie ist nicht auf rationaler Ebene zu finden; die rationale Ebene kann nur dabei helfen, den Weg zum Mitgefühl zu beschreiten, denn:

«Man sieht nur mit dem Herzen gut. Das Wesentliche ist für die Augen unsichtbar.»

– Antoine de Saint-Exupéry

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Anna Nagel veröffentlicht auf ihrem Blog „Heimwärts“ seit Jahren zu den Themen Heilung, Bewusstsein, kollektives Erwachen, Gefühle, Spiritualität, Psyche, Kundalini und Philosophie.

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