# Пов'язані статті щодо Manipulation

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit04/25 03:21

Contract Audit Passed, Thermometer Did Not: Polymarket's 'Physical Vulnerability' Moment

According to reports, an individual manipulated temperature sensors at Paris Charles de Gaulle Airport (LFPG) on April 6th and 15th, causing brief, anomalous spikes of over 3°C. These events were allegedly orchestrated to profit from corresponding low-probability bets on the prediction market Polymarket, turning a small investment into approximately $34,000. The French national meteorological service, Météo-France, filed a criminal lawsuit after discovering signs of physical tampering. The attack required minimal technical skill; the perpetrator reportedly used a battery-powered hairdryer to briefly heat the publicly accessible sensor. Polymarket’s market for Paris temperature settles based on the day's highest recorded temperature from a data chain that runs from the physical sensor to Météo-France, to Weather Underground, and finally to its smart contract. In response, Polymarket did not void the profits or make an official statement. It silently changed the data source for its Paris market from LFPG to Le Bourget Airport (LFPB), a location with similarly unprotected sensors. This incident highlights a critical vulnerability: while the smart contracts are audited and secure, the physical data sources feeding them remain exposed and easy to manipulate.

marsbit04/23 04:39

Spending $200 to Buy Stars, Scamming VCs Out of Tens of Millions: The Entire GitHub Fake Star Industry Exposed

A peer-reviewed study from Carnegie Mellon University (CMU) reveals that GitHub hosts approximately 6 million fake Stars, involving 18,600 repositories and 301,000 accounts, with AI/LLM projects being the largest non-malicious category for fake engagement. The fake Star market has exploded, with prices as low as $0.03 per Star. Research shows that venture capital firms, such as Redpoint Ventures, use GitHub Star counts as a key metric for evaluating startups, with median Stars at 2,850 for seed-stage funding. For less than $200, a project can artificially meet this threshold, distorting investment landscape. Over a dozen websites openly sell GitHub Stars, and fake Star activity saw explosive growth in 2024. AI-related repositories were among the most heavily affected. Despite GitHub’s policies against fake engagement, enforcement remains inconsistent: while 90% of flagged repositories were deleted, only 57% of involved accounts were suspended. The report highlights how purchased Stars can manipulate GitHub’s Trending algorithm and influence VC funding decisions, creating a cycle where artificial metrics attract real investment.

marsbit04/21 02:59

Are Altcoins Soaring? Is the Bull Market Back?

Recent days have seen significant volatility in altcoins while Bitcoin remained relatively stable. Some low-market-cap tokens, with circulations under $20 million, surged by several hundred percent within days—without fundamental improvements, ecosystem breakthroughs, or new institutional inflows. This is not a true altseason. The Altseason Index stands at 34, and Bitcoin dominance is at 58.5%, indicating the market is still in a "Bitcoin season." The altcoin market cap has shrunk by ~40% since its peak in December 2024, falling to around $700 billion. This severe decline has made it cheaper for large holders to accumulate significant portions of circulating supply, enabling price manipulation. A case in point is SIREN, where a single entity allegedly controlled up to 88% of the circulating supply. Such concentration allows a small group to dictate price movements. Additionally, deeply negative funding rates (as low as -0.3% every 8 hours, annualized to -328%) force short sellers to pay high fees, accelerating liquidations and further fueling upward price spikes. On-chain activity, like a 97% weekly increase in BSC DEX volume, suggests excitement, but it is largely driven by existing capital, not new inflows. Institutional flows into altcoin ETFs (like those for Solana and XRP) have been weak or negative, indicating caution rather than rotation into altcoins. This rally is a signal of structural fragility, not broad bullish momentum. Until Bitcoin dominance falls significantly and new capital enters the altcoin space, these pumps are echoes of manipulation—not the return of a true bull market.

marsbit04/17 06:24

Polymarket Is Not an All-Powerful "Truth Machine"

Polymarket, a crypto-based betting platform, is often hailed as a "truth machine" for its ability to aggregate crowd wisdom through financial stakes. While it has demonstrated remarkable accuracy in predicting major events like the 2024 U.S. presidential election—outperforming traditional polls—its overall reliability is highly inconsistent. Analysis using the Brier score reveals that its predictive power excels in high-liquidity domains like politics and economics but falls to near-random or worse in categories like sports, culture, and tech. The platform’s growing influence is concerning as its odds are increasingly cited by major media outlets like The Wall Street Journal and CNN, lending them an air of authority. This visibility creates a feedback loop where the odds themselves can influence the outcomes they are meant to predict—a phenomenon known as endogeneity. Moreover, the market is vulnerable to manipulation by well-resourced "whales" with access to exclusive information, such as private polls or even military intelligence, as seen in cases involving bets on geopolitical events. While useful for short-term, high-stakes events, Polymarket’s predictions are often unreliable for the vast majority of its contracts due to low liquidity and wide bid-ask spreads. The danger lies not in its occasional failures, but in the unchecked trust it receives—risking a future where a handful of traders can shape perceived reality through a platform masquerading as an oracle of truth.

marsbit04/15 11:40

Tens of Millions of Errors Per Hour: Investigation Reveals the 'Accuracy Illusion' of Google AI Search

A New York Times investigation, in collaboration with AI startup Oumi, reveals significant accuracy and reliability issues with Google's AI Overviews search feature. Testing over 4,300 queries showed the accuracy rate improved from 85% (Gemini 2) to 91% (Gemini 3). However, given Google's scale of ~5 trillion annual searches, this 9% error rate translates to over 57 million incorrect answers generated hourly. A more critical issue is the prevalence of unsubstantiated citations. For correct answers, the rate of "unfounded citations"—where provided source links do not support the AI's claims—worsened, rising from 37% with Gemini 2 to 56% with Gemini 3. This makes it difficult for users to verify the information. The AI also heavily relies on low-quality sources, with Facebook and Reddit being its second and fourth most cited domains. Furthermore, the system is highly susceptible to manipulation. A BBC journalist successfully "poisoned" it by publishing a fake article; Google's AI began presenting the false information as fact within 24 hours. Google disputed the study's methodology, criticizing the use of the SimpleQA benchmark and an AI model (Oumi's HallOumi) to evaluate its own AI. The company maintains that its internal safeguards and ranking systems improve accuracy beyond the base model's performance.

marsbit04/10 12:30

SEC opens proceedings on proposal to list options for Grayscale Crypto ETF

The U.S. Securities and Exchange Commission (SEC) has initiated formal proceedings to review a proposal to list and trade options on the Grayscale CoinDesk Crypto 5 ETF (GDLC). This does not constitute a decision but represents the next phase in the evaluation process. The proposal, submitted by NYSE American, aims to introduce physically settled options on the ETF, which tracks a basket of cryptocurrencies including Bitcoin, Ethereum, XRP, Solana, and Cardano. The SEC is seeking public comments and further analysis to assess whether the proposal meets regulatory standards, particularly concerning fraud prevention and investor protection. The move highlights the growing sophistication of crypto-linked derivatives while underscoring the SEC's continued caution regarding market manipulation risks in the digital asset space. A final decision will follow the review period, with no specified timeline provided.

ambcrypto04/09 23:02

SIREN’s 54% crash wipes out millions – What’s next for the memecoin?

A memecoin called Siren (SIREN) experienced a dramatic crash, plummeting over 54% in 24 hours and erasing millions in market value. Its price fell from a key support level of $0.9952, a level it had held since March, and was trading around $0.875 at press time. This decline caused its market cap to drop significantly from $1.835 billion to $637.42 million, while trading volume also decreased. The price drop is attributed to a combination of bearish broader market sentiment due to geopolitical tensions and specific issues with SIREN itself. A major concern is that a single entity holds approximately 88% of the circulating supply, creating a high risk of price manipulation. Technical analysis indicates a strong bearish trend, with the next major support level identified at $0.78. Derivatives data further confirms the negative sentiment, showing that more long positions were liquidated than short ones, and traders are continuing to build more short-leveraged positions, suggesting bears are in control.

ambcrypto03/27 23:01

Binance targets market makers ‘who breach our rules’ – But critics push back

ambcrypto03/26 21:03