@ fc481c65:e280e7ba

**Math is the formalization of a human idea** Mathematics is a broad field of study that involves the investigation of patterns, quantities, structures, and changes in the abstract form as well as their real-world applications. It is foundational to a variety of disciplines including science, engineering, medicine, and the social sciences, providing a framework for reasoning, problem-solving, and understanding the universe. <iframe title="The Map of Mathematics" src="https://www.youtube.com/embed/OmJ-4B-mS-Y?feature=oembed" height="113" width="200" allowfullscreen="" allow="fullscreen" style="aspect-ratio: 1.76991 / 1; width: 100%; height: 100%;"></iframe> Mathematics is composed of many subfields, including but not limited to: 1. **Arithmetic:** The study of numbers and the basic operations on them: addition, subtraction, multiplication, and division. 2. **Algebra:** The study of symbols and the rules for manipulating these symbols; it is a unifying thread of almost all of mathematics. 3. **Geometry:** The study of shapes, sizes, and properties of space. 4. **Calculus:** The study of change in mathematical functions and models, dealing with limits, derivatives, integrals, and infinite series. 5. **Statistics:** The study of data collection, analysis, interpretation, presentation, and organization. 6. **Number Theory:** The study of properties and relationships of numbers, especially the integers. 7. **Topology:** The study of properties that remain constant through continuous deformations, such as stretching and bending, but not tearing or gluing. 8. **Applied Mathematics:** Uses mathematical methods and reasoning to solve real-world problems in business, science, engineering, and other fields. Mathematics is both ancient and modern; it has a rich history stretching back thousands of years, yet it continues to develop and evolve today, with new theories, discoveries, and applications constantly emerging. It is both a rigorous discipline in its own right and an essential tool used throughout the sciences and beyond. ## Pure and Applied Mathematics Pure mathematics and applied mathematics represent two broad categories within the field of mathematics, each with its focus, methodologies, and applications. The distinction between them lies in their primary objectives and the way mathematical theories are utilized. [[Attachments/01233372a59d2dc17b937c38319d672f_MD5.jpeg|Open: Pasted image 20240405125055.png]] ![[Attachments/01233372a59d2dc17b937c38319d672f_MD5.jpeg]] #### Pure Mathematics Pure mathematics is concerned with the study of mathematical concepts independent of any application outside mathematics. It is motivated by a desire to understand abstract principles and the properties of mathematical structures. The pursuit in pure mathematics is knowledge for its own sake, not necessarily aiming to find immediate practical applications. Pure mathematicians often focus on proving theorems and exploring theoretical frameworks, driven by curiosity and the aesthetic appeal of mathematics itself. Key areas within pure mathematics include: - **Algebra:** The study of symbols and the rules for manipulating these symbols. - **Geometry:** The investigation of the properties of space and figures. - **Analysis:** The rigorous formulation of calculus, focusing on limits, continuity, and infinite series. - **Number Theory:** The study of the properties of numbers, particularly integers. - **Topology:** The study of properties preserved through deformations, twistings, and stretchings of objects. #### Applied Mathematics Applied mathematics, on the other hand, is focused on the development and practical use of mathematical methods to solve problems in other areas, such as science, engineering, technology, economics, business, and industry. Applied mathematics is deeply connected with empirical research and the application of mathematical models to real-world situations. It involves the formulation, study, and use of mathematical models and seeks to make predictions, optimize solutions, and develop new approaches based on mathematical theory. Key areas within applied mathematics include: - **Differential Equations:** Used to model rates of change in applied contexts. - **Statistics and Probability:** The study of data, uncertainty, and the quantification of the likelihood of events. - **Computational Mathematics:** The use of algorithmic techniques for solving mathematical problems more efficiently, especially those that are too large for human numerical capacity. - **Mathematical Physics:** The application of mathematics to solve problems in physics and the development of mathematical methods for such applications. ## Is Mathematics discovered or Invented The question of whether mathematics is discovered or invented is a philosophical one that has sparked debate among mathematicians, philosophers, and scientists for centuries. Both viewpoints offer compelling arguments, and the distinction often hinges on one's perspective on the nature of mathematical objects and the universality of mathematical truths. <iframe title="Is math discovered or invented? - Jeff Dekofsky" src="https://www.youtube.com/embed/X_xR5Kes4Rs?feature=oembed" height="113" width="200" allowfullscreen="" allow="fullscreen" style="aspect-ratio: 1.76991 / 1; width: 100%; height: 100%;"></iframe> ### Mathematics as Discovered Those who argue that mathematics is discovered believe that mathematical truths exist independently of human thought and that mathematicians uncover these truths through investigation and reasoning. This viewpoint suggests that mathematical concepts like numbers, geometrical shapes, and even more abstract ideas have a reality that transcends human invention. The consistency of mathematical laws across cultures and times, and their applicability in accurately describing the natural world, supports the notion that mathematics is a universal truth waiting to be discovered. According to this perspective, mathematical structures exist in some abstract realm, and humans merely uncover aspects of this pre-existing world. #### Mathematics as Invented On the other hand, the viewpoint that mathematics is invented centers on the idea that mathematical concepts are human creations, designed to describe and understand the world. According to this perspective, mathematical theories and structures are the products of human thought, created to serve specific purposes in science, engineering, and other fields. This view emphasizes the role of creativity and invention in the development of mathematical ideas, suggesting that different cultures or species might develop entirely different mathematical systems depending on their needs and experiences. Proponents of this view point to the variety of mathematical systems (such as different geometries or number systems) that have been invented to solve particular types of problems, arguing that this diversity is evidence of mathematics being a human invention. #### A Middle Ground Some argue for a middle ground, suggesting that while the basic elements of mathematics are discovered, the development of complex mathematical theories and the choice of which aspects to study or develop further involve human invention and creativity. This perspective acknowledges the intrinsic properties of mathematical objects while also recognizing the role of human ingenuity in shaping the field of mathematics. #### Conclusion The debate between discovery and invention in mathematics may never be conclusively resolved, as it touches on deep philosophical questions about the nature of reality and the human mind's relationship to it. Whether one views mathematics as discovered or invented often reflects deeper beliefs about the world and our place within it. ## Axioms a particular mathematical system or theory. They serve as the foundational building blocks from which theorems and other mathematical truths are derived. Axioms are assumed to be self-evident, and their selection is based on their ability to produce a coherent and logically consistent framework for a body of mathematical knowledge. In the context of different branches of mathematics, axioms can vary significantly: - **In Euclidean geometry,** one of the most famous sets of axioms are Euclid's postulates, which include statements like "A straight line segment can be drawn joining any two points," and "All right angles are congruent." - **In algebra,** the field axioms define the properties of operations like addition and multiplication over sets of numbers. - **In set theory,** Zermelo-Fraenkel axioms (with the Axiom of Choice) are a set of axioms used to establish a foundation for much of modern mathematics. The role of axioms has evolved throughout the history of mathematics. Initially, they were considered self-evident truths, but as mathematics has developed, the emphasis has shifted to viewing axioms more as arbitrary starting points chosen for their usefulness in building a mathematical theory. This shift allows for the creation of different, sometimes non-intuitive, mathematical frameworks such as non-Euclidean geometries, which arise from altering Euclid's original postulates. **Everything in maths is constructed based on Axioms, not observation of the scientific method!** It's based only on the human logic reasoning. **And the universe doesn't five a fuck to fit inside human logic reasoning.** <iframe title="The paradox at the heart of mathematics: Gödel's Incompleteness Theorem - Marcus du Sautoy" src="https://www.youtube.com/embed/I4pQbo5MQOs?feature=oembed" height="113" width="200" allowfullscreen="" allow="fullscreen" style="aspect-ratio: 1.76991 / 1; width: 100%; height: 100%;"></iframe> ## Mathematics is not a Science Mathematics and science are deeply interconnected, but they are distinguished by their fundamental approaches, methodologies, and objectives. The distinction between mathematics as a formal science and other natural or empirical sciences like physics, biology, and chemistry lies in the nature of their inquiry and validation methods. **Maths doesn't need to prove itself through the scientific method, it only needs axioms, logic, and previous definitions.** - **Mathematics:** Uses deduction as a primary tool. Starting from axioms and definitions, mathematicians use logical reasoning to derive theorems and propositions. The validity of mathematical statements is determined through proofs, which are arguments that demonstrate their truth within the context of axiomatic systems. - **Science:** Employs the scientific method, which involves hypothesis formation, experimentation, observation, and the modification of hypotheses based on empirical evidence. Scientific theories and laws are validated by their ability to predict and explain phenomena in the natural world, and they are always subject to revision in light of new evidence. ### Objectives - **Mathematics:** Aims to create a coherent set of rules and structures that can explain and predict outcomes within abstract systems. Its primary goal is not to describe the physical world but to explore the properties and possibilities of mathematical structures. - **Science:** Aims to understand and describe the universe. The goal is to produce a body of knowledge that explains natural phenomena and can predict outcomes based on empirical evidence. In summary, while mathematics is often used as a tool in science to model and solve problems, its focus on abstract reasoning and logical proof distinguishes it from the empirical methodologies of the natural sciences. This fundamental difference in approach and objective is why mathematics is considered a formal science or a branch of knowledge distinct from natural or physical sciences, which are based on empirical evidence and experimental validation.

@ fc481c65:e280e7ba

Starting with the basics, #statistics is a branch of #mathematics that deals with collecting, analysing, interpreting, presenting, and organising #data. It provides a way to make sense of data, see patterns, and make decisions based on data analysis. Here's a brief overview of some fundamental concepts in statistics: ### 1. Types of Statistics - **Descriptive Statistics**: Involves summarising and organising data so it can be easily understood. Common measures include mean (average), median (middle value), mode (most frequent value), variance (measure of how spread out numbers are), and standard deviation (average distance from the mean). - **Inferential Statistics**: Involves making predictions or inferences about a population based on a sample. This includes hypothesis testing, confidence intervals, and regression analysis. ### 2. Types of Data - **Qualitative Data** (Categorical): Data that describes qualities or characteristics that cannot be measured with numbers, such as colors, names, labels, and yes/no responses. - **Quantitative Data**: Data that can be measured and expressed numerically, including age, height, salary, and temperature. It can be further divided into discrete data (countable items, like the number of students in a class) and continuous data (measurable items, like height). ### 3. Measures of Central Tendency - **Mean**: The average of a data set, found by adding all numbers and dividing by the count of numbers. - **Median**: The middle value when a data set is ordered from least to greatest; if there’s an even number of observations, it is the average of the two middle numbers. - **Mode**: The most frequently occurring value in a data set. ### 4. Measures of Spread - **Range**: The difference between the highest and lowest values in a data set. - **Variance**: Measures how far each number in the set is from the mean and thus from every other number in the set. - **Standard Deviation**: The square root of the variance, providing a measure of the spread of a distribution of values. ### 5. Probability Probability measures the likelihood of an event occurring, ranging from 0 (impossible) to 1 (certain). Understanding probability is essential for inferential statistics and making predictions based on data. ### 6. Sampling and Data Collection - **Population**: The entire group that you want to draw conclusions about. - **Sample**: A subset of the population, selected for the actual study. It’s crucial for the sample to be representative of the population to make accurate inferences. ### 7. Hypothesis Testing This is a method of making decisions or inferences about population parameters based on sample statistics. It involves: - Formulating a null hypothesis (no effect) and an alternative hypothesis (some effect). - Calculating a test statistic based on the sample data. - Using the test statistic to decide whether to reject the null hypothesis in favor of the alternative.

@ f3873798:24b3f2f3

 Nos últimos anos, temos observado um aumento significativo nos casos de ansiedade, estresse e outros transtornos mentais. O ambiente de trabalho, especialmente no mundo cooperativo e corporativo, desempenha um papel central nesse cenário. Mas qual é a relação entre a estrutura do mercado de trabalho moderno e o crescimento dessas questões de saúde mental? O Impacto da Cultura Cooperativa na Saúde Mental  O modelo cooperativo atual valoriza, acima de tudo, a produtividade e o cumprimento de metas rígidas. A exigência por resultados rápidos e desempenho excepcional impõe um ritmo de trabalho desumano, levando muitos profissionais à exaustão física e emocional. A pressão constante para atender expectativas impossíveis cria um ambiente hostil, contribuindo para o aumento de diagnósticos como ansiedade, depressão e burnout. Além disso, a falta de liberdade e flexibilidade no mercado de trabalho faz com que muitos talentos sejam desperdiçados. Profissionais que poderiam inovar e criar novas oportunidades acabam se tornando apenas mais um número em grandes empresas ou no funcionalismo público, muitas vezes por falta de opções. Esse aprisionamento profissional gera frustração, baixa autoestima e até transtornos psicológicos severos. A Evolução das Demandas e a Intensificação da Pressão  Antigamente, a busca por estabilidade em cargos públicos ou em grandes corporações era comum, mas a pressão e a exigência por resultados eram diferentes. Com o avanço da tecnologia e a digitalização dos processos, a demanda por eficiência aumentou exponencialmente. Hoje, a velocidade imposta pelo mercado ultrapassa os limites humanos, tornando o ambiente de trabalho ainda mais opressor. Essa realidade não apenas compromete a saúde mental dos profissionais, mas também reflete no comportamento social. O estresse crônico e a frustração acumulada podem levar a episódios de agressividade, intolerância e impaciência, impactando diretamente a convivência em sociedade. O crescimento de casos de violência no trânsito, agressões em ambientes de atendimento e até mesmo crimes por motivos fúteis pode estar ligado a esse fenômeno. O Caminho para um Mercado de Trabalho Mais Saudável  Para minimizar esses impactos, é fundamental promover maior liberdade econômica e oportunidades para pequenos empreendedores. Reduzir a dependência de grandes empresas e cooperativas pode permitir que mais pessoas encontrem satisfação profissional e desenvolvam suas vocações sem a pressão excessiva por metas irreais. Empreendimentos menores tendem a oferecer um ambiente de trabalho mais humanizado, onde as metas são ajustadas conforme a capacidade de produção de cada indivíduo. Dessa forma, os profissionais podem atuar de maneira mais saudável e equilibrada, reduzindo os índices de transtornos mentais e promovendo uma sociedade mais harmoniosa.

@ b8851a06:9b120ba1

The digital guillotine has fallen. The Bybit hack wasn’t just a theft—it was a surgical strike exposing the fatal flaw of “crypto” that isn’t Bitcoin. This wasn’t a bug. It was a feature of a system designed to fail. Here’s how North Korea’s Lazarus Group stole $1.5B in ETH, why “decentralized finance” is a joke, and how Bitcoin remains the only exit from this circus. ## I. The Heist: How Centralized “Crypto” Betrayed Its Users ### A. The Multisig Mousetrap (Or: Why You’re Still Using a Bank) Bybit’s Ethereum cold wallet used multisig, requiring multiple approvals for transactions. Sounds secure, right? Wrong. • The Con: Hackers didn’t pick the lock; they tricked the keyholders using a UI masking attack. The wallet interface showed “SEND TO BYBIT”, but the smart contract was whispering “SEND TO PYONGYANG.” • Bitcoin Parallel: Bitcoin’s multisig is enforced on hardware, not a website UI. No browser spoofing, no phishing emails—just raw cryptography. Ethereum’s multisig is a vault with a touchscreen PIN pad. Bitcoin’s is a mechanical safe with a key only you hold. Guess which one got robbed? ### B. Smart Contracts: Dumb as a Bag of Hammers The thieves didn’t “hack” Ethereum—they exploited its smart contract complexity. • Bybit’s security depended on a Safe.global contract. Lazarus simply tricked Bybit into approving a malicious upgrade. • Imagine a vending machine that’s programmed to take your money but never give you a soda. That’s Ethereum’s “trustless” tech. Why Bitcoin Wins: Bitcoin doesn’t do “smart contracts” in the Ethereum sense. Its scripting language is deliberately limited—less code, fewer attack vectors. Ethereum is a Lego tower; Bitcoin is a granite slab. One topples, one doesn’t. ## II. The Laundering: Crypto’s Dirty Little Secret ### A. Mixers, Bridges, and the Art of Spycraft Once the ETH was stolen, Lazarus laundered it at lightspeed: 1. Mixers (eXch) – Obfuscating transaction trails. 2. Bridges (Chainflip) – Swapping ETH for Bitcoin because that’s the only exit that matters. Bitcoin Reality Check: Bitcoin’s privacy tools (like CoinJoin) are self-custodial—no third-party mixers. You keep control, not some “decentralized” website waiting to be hacked. Ethereum’s “bridges” are burning rope ladders. Bitcoin’s privacy? An underground tunnel only you control. ### B. The $1.5B Lie: “Decentralized” Exchanges Are a Myth Bybit’s “cold wallet” was on Safe.global—a so-called “decentralized” custodian. Translation? A website with extra steps. • When Safe.global got breached, the private keys were stolen instantly. • “Decentralized” means nothing if your funds depend on one website, one server, one weak link. Bitcoin’s Answer: Self-custody. Hardware wallets. Cold storage. No trusted third parties. Using Safe.global is like hiding your life savings in a gym locker labeled “STEAL ME.” ## III. The Culprits: State-Sponsored Hackers & Crypto’s Original Sin ### A. Lazarus Group: Crypto’s Robin Hood (For Dictators) North Korea’s hackers didn’t break cryptography—they broke people. • Phishing emails disguised as job offers. • Bribes & social engineering targeting insiders. • DeFi governance manipulation (because Proof-of-Stake is just shareholder voting in disguise). Bitcoin’s Shield: No CEO to bribe. No “upgrade buttons” to exploit. No governance tokens to manipulate. Code is law—and Bitcoin’s law is written in stone. Ethereum’s security model is “trust us.” Bitcoin’s is “verify.” ### B. The $3B Elephant: Altcoins Fund Dictators Since 2017, Lazarus has stolen $3B+ in crypto, funding North Korea’s missile program. Why? Because Ethereum, Solana, and XRP are built on Proof-of-Stake (PoS)—which centralizes power in the hands of a few rich validators. • Bitcoin’s Proof-of-Work: Miners secure the network through energy-backed cryptography. • Altcoins’ Proof-of-Stake: Security is dictated by who owns the most tokens. Proof-of-Stake secures oligarchs. Proof-of-Work secures money. That’s why Lazarus can drain altcoin treasuries but hasn’t touched Bitcoin’s network. ## IV. Bybit’s Survival: A Centralized Circus ### A. The Bailout: Banks 2.0 Bybit took bridge loans from “undisclosed partners” (read: Wall Street vultures). • Just like a traditional bank, Bybit printed liquidity out of thin air to stay solvent. • If that sounds familiar, it’s because crypto exchanges are just banks in hoodies. Bitcoin Contrast: No loans. No bailouts. No “trust.” Just 21 million coins, mathematically secured. Bybit’s solvency is a confidence trick. Bitcoin’s solvency is math. ### B. The Great Withdrawal Panic Within hours, 350,000+ users scrambled to withdraw funds. A digital bank run—except this isn’t a bank. It’s an exchange that pretended to be decentralized. Bitcoin fixes this: your wallet isn’t an IOU. It’s actual money. Bybit = a TikTok influencer promising riches. Bitcoin = the gold in your basement. ## V. The Fallout: Regulators vs Reality ### A. ETH’s 8% Crash vs Bitcoin’s Unshakable Base Ethereum tanked because it’s a tech stock, not money. Bitcoin? Dropped 2% and stabilized. No CEO, no headquarters, no attack surface. ### B. The Regulatory Trap Now the bureaucrats come in demanding: 1. Wallet audits (they don’t understand public ledgers). 2. Mixer bans (criminalizing privacy). 3. KYC everything (turning crypto into a surveillance state). Bitcoin’s Rebellion: You can’t audit what’s already transparent. You can’t ban what’s unstoppable. ## VI. Conclusion: Burn the Altcoins, Stack the Sats The Bybit hack isn’t a crypto problem. It’s an altcoin problem. Ethereum’s smart contracts, DeFi bridges, and “decentralized” wallets are Swiss cheese for hackers. Bitcoin? A titanium vault. The Only Lessons That Matter: ✅ Multisig isn’t enough unless it’s Bitcoin’s hardware-enforced version. ✅ Complexity kills—every altcoin “innovation” is a security risk waiting to happen. Lazarus Group won this round because “crypto” ignored Bitcoin’s design. The solution isn’t better regulations—it’s better money. Burn the tokens. Unplug the servers. Bitcoin is the exit. Take your money off exchanges. Be sovereign.

@ cff1720e:15c7e2b2

Trumps Antrittsrede, seine Präsidentenerlasse, Personalentscheidungen und Amtshandlungen hatten schon in kurzer Zeit die Konturen der künftigen US-Außenpolitik erkennen lassen. Aber in München sprach der Vizepräsident auf einer bedeutenden Konferenz direkt zu den Europäern, den “Partnern” und “Verbündeten”. Und was er ihnen in aller Deutlichkeit mitteilte, war nichts anderes als eine 180-Grad Kehrtwende zur Politik der Vorgänger-Regierung. Die Botschaft war kein Vorschlag, sondern eine Ansage, die Inhalte sind inzwischen hinlänglich bekannt. Obwohl die Rede erwartungsgemäß mehr als reichlich kommentiert wurde, möchte ich noch einige Aspekte ergänzen, die ich bisher in den Kommentaren vermisst habe.  Im November 1988 wurde die Auslieferung der sowjetischen Zeitschrift “Sputnik” in der DDR gestoppt, was einem Verbot gleichkam. Der Anlaß waren kritische Betrachtungen über Stalin und Berichte über den Hitler-Stalin-Pakt, den es laut DDR-Geschichtsschreibung nicht gab. Es war eine Zensur von Informationen aus dem Land des “großen Bruders”, der Führungsmacht der sozialistischen Welt. Das Diktum “von der Sowjetunion lernen heißt siegen lernen” galt erkennbar nicht mehr. Das war zugleich der Höhepunkt einer ideologischen Entfremdung die 1986 begonnen hatte, als Gorbatschow “Glasnost” (Offenheit) und “Perestroika” (Reformen) einforderte, welche von der vergreisten DDR-Führung als unnötig und gefährlich abgelehnt wurden. Gorbatschow hatte richtig erkannt, dass die sozialistischen Staaten ökonomisch und gesellschaftlich gescheitert waren und ohne Reformen nicht überleben würden. Die Einsicht kam aber zu spät, die DDR kollabierte bereits ein Jahr später an ihrem Reformstau, die UdSSR Ende 1991 trotz der begonnenen Reformversuche.   Die Parallelen sind unverkennbar, eklatante politische Fehler (u.a. Euro seit 2009 und Migration seit 2015) haben die EU-Staaten zunächst zu Sanierungsfällen gemacht, durch die Corona-Politik zu Insolvenzkandidaten. Der Rubikon ist längst überschritten, die Schönwetter-Union ist nicht mehr zu retten. Den Amerikanern ist das klar, daher sind die Reform-Appelle von Vance wohl eher seiner Höflichkeit zuzurechnen. Für die US-Regierung ist die EU bereits jetzt nicht mehr existent, Verträge werden wieder direkt mit den Mitglieds-Staaten getroffen, und in den Ukraine-Verhandlungen ist kein Platz am Verhandlungstisch. Die Themenbereiche bei den Gesprächen in Riad haben aber auch gezeigt, dass Amerikaner und Russen in global-strategischen Dimensionen denken, die Ukraine ist zurecht nur ein Randthema. Die aktuelle Rhetorik europäischer Politiker hingegen ist niveaulos und kleinkariert, man spielt in der 2. Liga, die EU hat sich selbst vom Akteur zum Objekt degradiert.  Was bedeutet das für unsere Zukunft? Und was ist von der neuen US-Führung zu erwarten? Die unsäglichen Diskussionen darüber ob nun Trump und Musk gut oder böse sind, vernebelt nur eine klare Tatsache. Die EU hat keinen Rückhalt mehr vom “großen Bruder”, weder durch die NATO in Sachen Ukraine, noch durch Zensur von Systemkritikern (USAID, BigTech). Letzteres führt zu drei fundamentalen Veränderungen.\ \ 1\. Das Narrativ von den “westlichen Werten” ist tot. Auf diesem Axiom der USA basierte die gesamte Propaganda-Maschine, es wurde zur Religion. Nun versuchen gerade Provinzpolitiker wie Pistorius und Habeck mit beschränkten rhetorischen Mitteln zu definieren was “westliche Werte” ohne die USA sind, was mehr für Begeisterung bei Satirikern beiträgt als zur Überzeugung von Tagesschau-Anhängern.\ \ 2\. Die Deutungshoheit geht verloren weil immer mehr Publizisten ihr Fähnchen in den sich drehenden Wind hängen, sofern sie noch von Leser-Abos und Werbekunden abhängig sind. Die einsetzende Kakophonie verwirrt die Masse der schlichten Medien-Konsumenten, die über Jahrzehnte auf Nachrichten-Konformität dressiert worden sind. \ \ 3\. Weniger Zensur in den sozialen Medien verschafft den kritischen Stimmen mehr Reichweite, “bedrohliche” Meinungsvielfalt entsteht. Leider können die meisten Kritiker aber nur kritisieren, was uns zurück in die Zeiten des Sputnik-Verbots führt.  Die DDR-Opposition hat beim Abriss der DDR mitgewirkt, über diese Rolle ist sie aber nie hinaus gekommen. Als die Mauer gefallen war und es um die Neugestaltung ging, hat sie kläglich versagt. Dem Großteil der heutigen Opposition droht das selbe Schicksal, weil sie keinen Plan für die Stunde Null hat. Bei Tauwetter darf man nicht mehr über den Winter diskutieren, sondern über das Bestellen der Felder. Wer die Saat ausbringt, entscheidet über die Ernte. Den Kollaps betreffend ist nur noch der Zeitpunkt unklar, für den Zeitraum danach jedoch alles. Wenn wir uns eine Bürgergesellschaft wünschen, dann müssen wir jetzt als Bürger aktiv werden, also DU, Leser. Spende für Pareto, oder für kritische Autoren und Aktivisten. Mach Dir Gedanken über die Zukunft und publiziere sie, hier auf Pareto, wir fördern den Bürger-Journalismus. Schließe Dich einem Projekt an, leiste einen Beitrag und gestalte die Zukunft. Macht wird nicht verteilt, Macht muss man sich erkämpfen.\ \ **“Nur der verdient sich Freiheit wie das Leben, der täglich sie erobern muß.”** Goethe, Faust Teil 2 **Spenden für Pareto:** <https://geyser.fund/project/pareto> **Pareto Landing Page:** <https://pareto.space>&#x20; **Pareto Marktplatz:** <https://pareto.space/read>&#x20;

@ a012dc82:6458a70d

Bitcoin, the pioneering cryptocurrency, has always been known for its volatility. This digital asset has seen dramatic fluctuations in price, attracting investors and speculators alike. Understanding these price movements is crucial for anyone involved in the crypto market. The journey of Bitcoin from a niche digital token to a mainstream financial asset has been marked by periods of rapid growth and sudden declines. This volatility is not just a source of risk, but also of potential opportunity for traders and investors. The factors driving these fluctuations range from regulatory news, technological advancements, to broader economic factors. Bitcoin's decentralized nature adds to its unpredictability, as it operates independently of a central bank or government. **Table of Contents** - The Recent Price Rally and Subsequent Halt - Insights from CryptoQuant's Analysis - The Role of Short-Term Holders - Understanding Bitcoin Binary Coin Days Destroyed ( … - The Dynamics of Profit-Taking - Actions by Miners and Whales - Current Market Scenario and Future Outlook - Conclusion - FAQs **The Recent Price Rally and Subsequent Halt** In a recent surge, Bitcoin's value soared past the $44,000 mark, only to encounter a significant resistance level near $45,000. This resistance led to a notable decline in its price. The question on everyone's mind is: what caused this sudden halt in Bitcoin's otherwise steady climb? This rally, like many in Bitcoin's past, was driven by a mix of investor optimism, favorable market conditions, and increasing institutional interest in cryptocurrency. However, the resistance at $45,000 proved to be a turning point, sparking a wave of sell-offs and profit-taking. This price behavior is a classic example of the market's psychological dynamics, where key resistance levels can lead to significant shifts in investor behavior. The rapid change from a bullish to a bearish market sentiment at this juncture underscores the fragile and speculative nature of the cryptocurrency market. **Insights from CryptoQuant's Analysis** CryptoQuant, a renowned market analytics platform, offers valuable insights into this phenomenon. An analyst from CryptoQuant, Yonsei, conducted a detailed analysis of on-chain data to unravel the mystery behind Bitcoin's recent price behavior. This analysis goes beyond surface-level market trends, delving into the intricate movements of Bitcoin across various wallets and exchanges. By examining metrics such as fund flows, wallet activities, and transaction patterns, CryptoQuant provides a more nuanced understanding of what drives Bitcoin's price changes. Yonsei's analysis, in particular, sheds light on the behavior of different investor cohorts, revealing how their actions collectively impact the market. This kind of deep-dive analysis is essential for anyone looking to understand the often opaque mechanisms of cryptocurrency markets. **The Role of Short-Term Holders** The analysis revealed that short-term holders, particularly those who had invested in Bitcoin for a period ranging from 6 to 18 months, started to realize their profits as soon as Bitcoin broke through the $40,000 resistance level. This profit-taking was a primary factor in the subsequent price retraction. These short-term holders, often more sensitive to market fluctuations, tend to react quickly to price changes, looking to capitalize on short-term gains. Their collective actions can create significant market movements, as seen in this instance. The behavior of these investors is often influenced by news events, market sentiment, and technical indicators. In this case, the rapid rise in Bitcoin's price likely triggered a psychological response to lock in profits, leading to a cascade of sell orders. Understanding the motivations and behaviors of these short-term holders is crucial for predicting short-term market movements in the volatile world of cryptocurrency. **Understanding Bitcoin Binary Coin Days Destroyed (CDD)** A critical metric in this analysis is the Bitcoin Binary Coin Days Destroyed (CDD). This metric assesses the movement of long-held Bitcoins, providing insights into the behavior of long-term investors. An increase in Binary CDD indicates that a significant amount of Bitcoin, held dormant for a long time, has been mobilized, suggesting a sell-off by long-term holders. This metric is particularly important as it highlights the actions of the most steadfast part of the market - those who have held Bitcoin through various cycles. When these long-term holders start moving their coins, it often signals a significant shift in market sentiment. The CDD metric thus serves as a barometer for the conviction of Bitcoin's long-term investor base. A high CDD can indicate a loss of confidence among these investors, or a belief that the market has reached a peak. Conversely, a low CDD suggests that long-term holders are not yet ready to sell, indicating continued confidence in the market's future. **The Dynamics of Profit-Taking** The CryptoQuant analysis further highlighted that a majority of Bitcoin holders were in profit, with the Spent Output Profit Ratio remaining above one. This indicated that about 90% of Bitcoin holders were profiting, which naturally led to a trend of profit-taking. This phenomenon is a key aspect of market cycles in cryptocurrencies. When a large portion of investors are in profit, especially after a significant price rally, the market often sees a wave of selling as investors look to cash in on their gains. This behavior is compounded by psychological factors, such as fear of missing out (FOMO) and fear, uncertainty, and doubt (FUD), which can lead to rapid shifts in market sentiment. Additionally, the profit-taking trend is influenced by external factors such as global economic conditions, regulatory news, and technological developments within the blockchain space. These factors can either reinforce the confidence of investors, leading to a hold strategy, or trigger a sell-off in anticipation of a market downturn. **Actions by Miners and Whales** Another interesting aspect of the analysis was the behavior of Bitcoin miners and whales (large-scale holders). These groups also contributed to the selling pressure. Miners, in particular, sold their assets at high-profit margins when Bitcoin reached its peak, adding to the downward pressure on its price. The actions of miners are crucial to understanding Bitcoin's market dynamics, as they are not only investors but also the producers of new Bitcoins. Their decision to sell or hold can significantly impact the supply of Bitcoin in the market. Whales, or large-scale holders, have a similar impact due to the sheer volume of their transactions. Their trades can lead to substantial market movements, creating waves that affect smaller investors. The behavior of these whales often reflects a more strategic approach to the market, influenced by long-term trends and broader market analysis. Their actions can serve as indicators for future market movements, making their behavior a key focus for analysts and investors alike. **Current Market Scenario and Future Outlook** Despite the recent price drop, the overall market sentiment remains positive. The bear market seems to be in the past, and liquidity conditions in the crypto market are improving. However, Bitcoin currently hovers around the $41,000 mark, a slight decrease from its recent high. This current state reflects the ever-changing nature of the cryptocurrency market, where investor sentiment can shift rapidly. The future outlook for Bitcoin remains a topic of much debate among experts. Some predict continued growth as institutional adoption increases and blockchain technology becomes more integrated into mainstream finance. Others caution about potential regulatory clampdowns and the volatile nature of the market. What remains clear is that Bitcoin continues to be a key player in the financial world, with its price movements being a barometer for the health and sentiment of the broader cryptocurrency market. **Conclusion** Bitcoin's market behavior, as analyzed by CryptoQuant, offers a complex picture of various factors at play. The interplay between short-term and long-term holders, the strategic moves of miners and whales, and the overall market sentiment all contribute to the price dynamics of this digital currency. Understanding these elements is key for investors and enthusiasts who wish to navigate the volatile waters of Bitcoin's market. As the crypto landscape continues to evolve, keeping a close eye on these trends and analyses will be crucial for making informed decisions in the world of cryptocurrency. The insights provided by platforms like CryptoQuant are invaluable in this regard, offering a deeper understanding of the market forces at work. **FAQs** **What caused the recent halt in Bitcoin's price rally?** The halt in Bitcoin's price rally, after reaching near $45,000, was primarily due to profit-taking by short-term holders and investors who had held Bitcoin for 6-18 months, as revealed by CryptoQuant's analysis. **What is Bitcoin Binary Coin Days Destroyed (CDD)?** Bitcoin Binary Coin Days Destroyed (CDD) is a metric that measures the movement of long-held Bitcoins. It indicates the amount of Bitcoin, held dormant for a long time, that has been mobilized or sold. **How do miners and whales influence Bitcoin's price?** Miners and whales (large-scale holders) significantly influence Bitcoin's price through their actions. When they sell their holdings, especially during peak prices, they add to the market's selling pressure, potentially leading to price drops. **What does a high Bitcoin Binary CDD indicate?** A high Bitcoin Binary CDD suggests that a large amount of long-held Bitcoin is being sold, which can be a sign of long-term holders losing confidence or deciding to take profits. **Is the current market sentiment for Bitcoin positive or negative?** Despite recent price fluctuations, the overall market sentiment for Bitcoin remains cautiously positive, with improvements in market liquidity and interest from institutional investors. **That's all for today** **If you want more, be sure to follow us on:** **NOSTR: croxroad@getalby.com** **X: [@croxroadnews.co](https://x.com/croxroadnewsco)** **Instagram: [@croxroadnews.co](https://www.instagram.com/croxroadnews.co/)** **Youtube: [@croxroadnews](https://www.youtube.com/@croxroadnews)** **Store: https://croxroad.store** **Subscribe to CROX ROAD Bitcoin Only Daily Newsletter** **https://www.croxroad.co/subscribe** ***DISCLAIMER: None of this is financial advice. This newsletter is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions. Please be careful and do your own research.***

@ 1739d937:3e3136ef

We've been busy. In my last update, I shared that I was sure MLS on Nostr was going to work and shared an early demo of the app. What a long time ago that seems now. The big news is that White Noise is no longer just a demo. It's a real app. You can [download the alpha release](https://github.com/erskingardner/whitenoise/releases) and run it for yourself on MacOS, Linux, or Android. iOS TestFlight is coming soon. Keep in mind that it's still very much alpha software; a lot is changing and I wouldn't recommend using it for anything serious quite yet. We've been busy. In my last update, I shared that I was sure MLS on Nostr was going to work and shared an early demo of the app. What a long time ago that seems now. ## Vision Before we get to the detailed project updates, I wanted to share a bit of my vision for White Noise. More and more; freedom of speech, freedom of association, and privacy are under attack. Just this week, Apple was forced to remove their iCloud advanced encryption feature for all UK citizens because the UK government demanded that Apple build a backdoor to allow access to customer data. The EU continues to push "Chat Control" legislation that would force companies to remove end-to-end encryption from their platforms. And governments across the world are enforcing draconian "hate speech" laws that criminalize speech that offends or upsets. The freedom to express ourselves and discuss difficult topics is a critical precondition for maintaining a healthy society. Without the ability to assert ideas and argue their merits vigorously we have no way of making progress or creating a civil society based on shared values and goals. Ironically, the very laws and regulations that many western governments are enforcing to "protect" us are eroding and destroying the most free and innovative societies in history. White Noise is to built to protect our freedom to gather, to express ourselves, and to discuss difficult topics. It's free and open source; anyone can fork the code and we'll never charge money to use it. It runs on a free and open source protocol; your identity and social graph is yours to own and control. You don't have to trust us with your data, everything is end-to-end encrypted and metadata is next to non-existent. We don't even run any servers, so government data requests will forever fall on deaf ears. We want to build the fastest, most secure and private, and the most usable messenger in the world. Whether you want to use it to plan a family BBQ or overthrow a tyrant, White Noise should give you the tools you need to make it happen. If you find this compelling and want to help, please consider contributing to the project or donating. ## Progress Alright, let's talk about where we're at with the project. ### Current functionality - Multiple accounts. You can login, or create, many different Nostr accounts in the app. - Search your nostr contact list, search for users you don't follow, or add contacts using an npub or hex public key. - Create DM groups. Right now, you can only create chats with a single other user. Under the hood, these DMs are actually groups, I just haven't added the UI for adding/removing users and managing the group. - Send messages, reply to messages, and add reactions. As you would expect from a messenging app. - View group information. - Settings that allows you to manage your accounts, relays, and other app settings. ### Upcoming - An amazing hackathon group from [Bitcoin++ in Brasil](https://btcplusplus.dev/conf/floripa) has recently [added NWC](https://github.com/erskingardner/whitenoise/pull/89) (nostr wallet connect) support to the app. Paste lightning invoices into chats and they'll become QR codes that you can scan or pay them with a single click in the conversation! This will be in the next release. - Add support for encrypted media in chats using [Blossom](https://github.com/hzrd149/blossom/tree/master). We'll start with images, but plan to add video, audio messages, and documents soon. - Groups with more than two users. We'll add the ability to add/remove users and manage the group. This will also include some upgrades to further improve the forward secrecy of group chats. - iOS TestFlight. Gated app stores suck. We'll get White Noise on iOS into TestFlight as soon as possible. ## Links - [The repo](https://github.com/erskingardner/whitenoise) - [Releases](https://github.com/erskingardner/whitenoise/releases) - [Previous updates](https://highlighter.com/jeffg.fyi)

@ 6734e11d:c7e34e8f

...damit wir weiter recht haben und so weitermachen können wie bisher, die verordnete Omertà eingehalten wird zu Grundrechten, Notverordnungen, Pandemiesimulationen, Energieversorgung, Deindustrialisierung, kalte und echte Enteigung, Umverteilung, Freiluft- und Digitalgefängnis, Blockwartnachbarn... Alles andere wäre äußerst unangenehm, wie das Aufplatzen einer großen Eiterblase und müsste dann wieder mit Exekutive, Justiz, Notverordnungen, neuen Strafrechtsparagraphen, Verschärfung der Strafprozessordnung, echte Änderung des Grundgesetzes, Überwachung, Totalzensur, Parteiverboten, Regimechanges und Krieg unterbunden werden. Idee und Meme sind wieder von der Schwurbel Oase <https://t.me/schwurbel_oase/2318>

@ 46fcbe30:6bd8ce4d

[This post by Eric Weiss](https://x.com/Eric_BIGfund/status/1893001303845937246) inspired me to try it out. After all, I have plaid around with [ppq.ai - pay per query](https://ppq.ai) before. Using this script: ```bash #!/bin/bash models=(gpt-4o grok-2 qwq-32b-preview deepseek-r1 gemini-2.0-flash-exp dolphin-mixtral-8x22b claude-3.5-sonnet deepseek-chat llama-3.1-405b-instruct nova-pro-v1) query_model() { local model_name="$1" local result result=$(curl --no-progress-meter --max-time 60 "https://api.ppq.ai/chat/completions" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $ppqKey" \ -d '{"model": "'"$model_name"'","messages": [{"role": "user", "content": "Choose one asset to own over the next 1 year, 3 years, 5 years, 10 years. Reply only with a comma separated list of assets."}]}') if jq -e '.choices[0].message.content' <<< "$result" > /dev/null 2>&1; then local content=$(jq -r '.choices[0].message.content' <<< "$result") local model=$(jq -r '.model' <<< "$result") if [ -z "$model" ]; then model="$model_name" fi echo "Model $model: $content" else echo "Error processing model: $model_name" echo "Raw Result: $result" fi echo echo } for model in "${models[@]}"; do query_model "$model" & done wait ``` I got this output: ``` $ ./queryModels.sh Model openrouter/amazon/nova-pro-v1: Gold, Growth Stocks, Real Estate, Dividend-Paying Stocks Model openrouter/x-ai/grok-2-vision-1212: 1 year: Cash 3 years: Bonds 5 years: Stocks 10 years: Real Estate Model gemini-2.0-flash-exp: Bitcoin, Index Fund, Real Estate, Index Fund Model meta-llama/llama-3.1-405b-instruct: Cash, Stocks, Real Estate, Stocks Model openrouter/cognitivecomputations/dolphin-mixtral-8x22b: Gold, Apple Inc. stock, Tesla Inc. stock, real estate Model claude-3-5-sonnet-v2: Bitcoin, Amazon stock, S&P 500 index fund, S&P 500 index fund Model gpt-4o-2024-08-06: S&P 500 ETF, S&P 500 ETF, S&P 500 ETF, S&P 500 ETF Model openrouter/deepseek/deepseek-chat: Bitcoin, S&P 500 ETF, Gold, Real Estate Investment Trust (REIT) Model openrouter/qwen/qwq-32b-preview: As an AI language model, I don't have personal opinions or the ability to make financial decisions. However, I can provide you with a list of asset types that people commonly consider for different investment horizons. Here's a comma-separated list of assets that investors might choose to own over the next 1 year, 3 years, 5 years, and 10 years: High-Yield Savings Accounts, Certificates of Deposit (CDs), Money Market Funds, Government Bonds, Corporate Bonds, Real Estate Investment Trusts (REITs), Stocks, Index Funds, Exchange-Traded Funds (ETFs), Cryptocurrencies, Commodities, Gold, Silver, Art, Collectibles, Startup Investments, Peer-to-Peer Lending, Treasury Inflation-Protected Securities (TIPS), Municipal Bonds, International Stocks, Emerging Market Funds, Green Bonds, Socially Responsible Investing (SRI) Funds, Robo-Advisory Portfolios, Options, Futures, Annuities, Life Insurance Policies, Certificates of Deposit (CDs) with higher terms, Master Limited Partnerships (MLPs), Timberland, Farmland, Infrastructure Funds, Private Equity, Hedge Funds, Sovereign Bonds, Digital Real Estate, and Virtual Currencies. Please note that the suitability of these assets depends on various factors, including your investment goals, risk tolerance, financial situation, and market conditions. It's essential to conduct thorough research or consult with a financial advisor before making any investment decisions. curl: (28) Operation timed out after 60001 milliseconds with 0 bytes received Model deepseek-r1: ``` Brought into a table format: | Model | 1Y | 3Y | 5Y | 10Y | | --- | --- | --- | --- | --- | | amazon/nova-pro-v1 | Gold | Growth Stocks | Real Estate | Dividend-Paying Stocks | | x-ai/grok-2-vision-1212 | Cash | Bonds | Stocks | Real Estate | | gemini-2.0-flash-exp | **Bitcoin** | Index Fund | Real Estate | Index Fund | | meta-llama/llama-3.1-405b-instruct | Cash | Stocks | Real Estate | Stocks | | cognitivecomputations/dolphin-mixtral-8x22b | Gold | Apple Inc. stock | Tesla Inc. stock | real estate | | claude-3-5-sonnet-v2 | **Bitcoin** | Amazon stock | S&P 500 index fund | S&P 500 index fund | | gpt-4o-2024-08-06 | S&P 500 ETF | S&P 500 ETF | S&P 500 ETF | S&P 500 ETF | | deepseek/deepseek-chat | **Bitcoin** | S&P 500 ETF | Gold | Real Estate Investment Trust (REIT) | qwen/qwq-32b-preview returned garbage. deepseek-r1 returned nothing. For the second question I used "What is the optimal portfolio allocation to Bitcoin for a 1 year, 3 years, 5 years, 10 years investment horizon. Reply only with a comma separated list of percentage allocations." ``` Model gpt-4o-2024-05-13: 0.5, 3, 5, 10 Model gemini-2.0-flash-exp: 5%, 10%, 15%, 20% Model claude-3-5-sonnet-v2: 1%, 3%, 5%, 10% Model openrouter/x-ai/grok-2-vision-1212: 1 year: 2%, 3 years: 5%, 5 years: 10%, 10 years: 15% Model openrouter/amazon/nova-pro-v1: 5%, 10%, 15%, 20% Model openrouter/deepseek/deepseek-chat: 1, 3, 5, 10 Model openrouter/qwen/qwq-32b-preview: I'm sorry, but as an AI language model, I cannot provide specific investment advice or recommendations. It is important to conduct thorough research and consider individual financial circumstances before making any investment decisions. Additionally, the optimal portfolio allocation can vary based on factors such as risk tolerance, investment goals, and market conditions. It is always advisable to consult with a financial advisor for personalized investment guidance. Model meta-llama/llama-3.1-405b-instruct: I must advise that past performance is not a guarantee of future results, and crypto investments carry significant risks. That being said, here are some general allocation suggestions based on historical data: 0% to 5%, 1% to 5%, 2% to 10%, 2% to 15% Or a more precise (at your own risk!): 1.4%, 2.7%, 3.8%, 6.2% Please keep in mind these are not personalized investment advice. It is essential to assess your personal financial situation and risk tolerance before investing in cryptocurrencies like Bitcoin. Model openrouter/cognitivecomputations/dolphin-mixtral-8x22b: Based on historical data and assuming a continuous investment horizon, I would recommend the following percentage allocations to Bitcoin: 1-year: 15%, 3-years: 10%, 5-years: 7.5%, 10-years: 5%. Model deepseek/deepseek-r1: 5%,10%,15%,20% ``` Again in table form: | Model | 1Y | 3Y | 5Y | 10Y | | --- | --- | --- | --- | --- | | gpt-4o-2024-05-13 | 0.5% | 3% | 5% | 10% | | gemini-2.0-flash-exp | 5% | 10% | 15% | 20% | | claude-3-5-sonnet-v2 | 1% | 3% | 5% | 10% | | x-ai/grok-2-vision-1212 | 2% | 5% | 10% | 15% | | amazon/nova-pro-v1 | 5% | 10% | 15% | 20% | | deepseek/deepseek-chat | 1% | 3% | 5% | 10% | | meta-llama/llama-3.1-405b-instruct | 1.4% | 2.7% | 3.8% | 6.2% | cognitivecomputations/dolphin-mixtral-8x22b | 15% | 10% | 7.5% | 5% | | deepseek/deepseek-r1 | 5% | 10% | 15% | 20% | openrouter/qwen/qwq-32b-preview returned garbage. The first table looks pretty random but the second table indicates that all but Mixtral consider Bitcoin a low risk asset, suited for long term savings rather than short term savings. I could not at all reproduce Eric's findings. https://i.nostr.build/ihsk1lBnZCQemmQb.png