The hottest Prediction Markets Substack posts right now

And their main takeaways
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Top Finance Topics

Warriors’ Casino: The People Making A Killing Gambling On War

TK News by Matt Taibbi • 1878 implied HN points • 17 Mar 26
đź”® Crypto Prediction Markets
  1. Crypto prediction markets now handle huge, fast-moving wagers on real-world conflicts and sometimes outpace traditional sportsbooks in volume.
  2. A pattern of last-minute, correct bets ahead of military strikes has raised strong concerns about insider information and market manipulation, triggering investigations and alarm.
  3. Platforms, institutions, and lawmakers are reacting — markets are being restricted or removed, firms are partnering with surveillance and analytics companies, and Congress is proposing bans to curb officials and unethical profit from geopolitical events.

Mantic Monday: Groundhog Day

Astral Codex Ten • 15623 implied HN points • 03 Mar 26
đź•ą Technology Prediction Markets
  1. The Pentagon’s “supply chain risk” label briefly knocked Anthropic’s predicted value but markets quickly rebounded, implying legal challenges, big-cloud partnerships, and publicity make the company unlikely to be crippled.
  2. Republican efforts to tighten voting rules and a rumored executive order raise real disruption risks for the midterms, but courts and prediction markets expect limited mass disenfranchisement and still tilt toward Democratic gains in Congress.
  3. Prediction markets are shifting toward hedging and financial products, with crypto-based platforms like MNX targeting AI and real-world risk hedges, and markets are already being used to price geopolitical events like the Iran conflict.

Mantic Monday: The Monkey's Paw Curls

Astral Codex Ten • 14109 implied HN points • 13 Jan 26
đź”® Crypto Prediction Markets
  1. Prediction markets have exploded in volume and produce accurate probabilities, but most activity is degenerate gambling and they haven’t yet changed how society or the media make decisions.
  2. Vague resolution rules and decentralized oracles cause frequent disputes, insider trading concerns, and "rulescuck" losses, and proposed technical fixes (like using LLMs) carry their own risks.
  3. Conditional "decision" markets could be transformative if they can avoid confounding — one proposed fix is markets that predict the eve-of-decision market prices — and AI superforecasters may soon supplant human markets, leaving either better user-driven platforms or AI-led forecasting as the likely path forward.

Can Talarico win in November?

Silver Bulletin • 607 implied HN points • 04 Mar 26
🇺🇸 U.S. Politics Prediction Markets
  1. James Talarico won the Democratic primary with strong turnout where he needed it, and prediction markets proved quicker and more confident than polls in signaling his edge.
  2. The Republican race moved to a runoff between Cornyn and Paxton after polls overstated Paxton’s advantage, showing prediction markets were overconfident on the GOP side and leaving open questions about Trump’s endorsement.
  3. Crockett was not clearly more liberal than Talarico but ran a hotter, more partisan style, while Talarico’s calmer, more moderate-seeming approach likely improved his electability perception in a red state, though November will still be a tough climb for a Democrat.

The Bear Cave #313

The Bear Cave • 933 implied HN points • 15 Feb 26
đź’° Finance Prediction Markets
  1. Activist and short-seller reports accuse companies such as Super Group, BigBear AI, Archer Aviation, and Syntec Optics of accounting problems, misleading disclosures, or governance failures, and claim these issues could materially overstate profitability or render companies uninvestable.
  2. A spate of sudden C‑suite and senior departures — including at GEO Group, Ecarx, Radian, Kyndryl, and Goldman Sachs — points to turnover and potential governance or operational stress, with some departures coinciding with filing delays and other red flags.
  3. Market chatter and data show new structural threats: prediction markets are pressuring incumbent sportsbooks like DraftKings, AI product moves and acquisitions invite skepticism about execution, and shifts like GLP‑1 weight‑loss drugs are changing consumer demand while SEC FOIA logs hint at possible regulatory scrutiny.
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Who’s the real favorite in the Texas Senate primary?

Silver Bulletin • 401 implied HN points • 26 Feb 26
🇺🇸 U.S. Politics Prediction Markets
  1. Nonpartisan polls generally show Jasmine Crockett ahead, but the polling picture is messy because many polls are old or candidate‑sponsored and internal polls tend to overstate support.
  2. Prediction markets have been strongly favoring James Talarico since December, creating a notable divergence from the polls and implying bettors see information the polls might be missing.
  3. High early turnout, a young diverse Democratic electorate, and a contentious campaign mean the race is uncertain and could still head to a runoff, so neither polls nor markets tell the whole story.

Introduction to Prediction Markets

DeFi Education • 699 implied HN points • 26 Jul 24
đź”® Crypto Prediction Markets
  1. Prediction markets let users bet on the outcomes of real-world events, like elections or interest rates, by creating and trading tokens. This allows for both speculation and hedging against risks in the financial markets.
  2. Polymarket is a leading prediction market platform that has seen rapid growth, particularly during election cycles. Users can make money by providing liquidity and taking advantage of market mispricings.
  3. Memecoins and prediction markets serve different purposes for betting on events. Prediction markets offer specific outcomes with sound pricing, while memecoins allow for uncapped upside but carry risks of fluctuations based on popularity.

A prediction market for shortform content

Taylor Lorenz's Newsletter • 955 implied HN points • 09 Dec 25
đź•ą Technology Prediction Markets
  1. Social media users often leave informal predictions on short-form videos, like betting a clip will reach a certain number of likes or views.
  2. Two college students built Spike, an app that turns those predictions into a formal prediction market where people can bet on whether TikToks will hit specific milestones.
  3. Spike was created at a Harvard hackathon and specifically targets short-form platforms like TikTok and Instagram Reels by letting users wager on likes and view-count milestones.

A view from the Pinnacle

networked • 143 implied HN points • 22 Dec 25
🎾 Sports Prediction Markets
  1. Pinnacle has long been the sharpest football bookmaker, so using its odds as a baseline lets bettors spot expected-value edges by taking better prices at softer bookies.
  2. Since about 2023, Pinnacle’s closing odds have become less reliable and produced lower-than-expected returns, which could be down to randomness, arbitrage-driven moves, or a decline in their model accuracy.
  3. Prediction markets offer low house take and no bans so they attract sharps, but limited liquidity and wider spreads create an effective vig and stake limits, meaning Pinnacle’s deep liquidity and high limits still keep it relevant.

Sports Betting And The Zero-Sum Trap

QTR’s Fringe Finance • 25 implied HN points • 17 Feb 26
🎾 Sports Prediction Markets
  1. Sports betting is financially bad for typical bettors because the house takes a cut and the game becomes negative-sum, so most participants lose money over time.
  2. Market efficiency and information asymmetry mean insiders and professional bettors usually have an edge, so average people are unlikely to win consistently.
  3. Modern prediction markets and short-term trading on retail apps blur investing with gambling, encouraging churn and engagement that benefits intermediaries rather than long-term wealth creation.

SBSQ #26: Do prediction markets make polls useless?

Silver Bulletin • 225 implied HN points • 09 Nov 25
🇺🇸 U.S. Politics Prediction Markets
  1. Prediction markets are gaining attention and might change how media reports on politics. They could potentially replace traditional polls, but the impact isn't clear yet.
  2. While prediction markets can provide insights, they may not fully replace the value of polls. Polls offer different kinds of data that prediction markets don't always capture.
  3. Doing creative work is important, even if it takes a long time and is challenging. It helps people learn and grow, and keeps the mind active and engaged over time.

humans vs machines: who's better at predicting 2026? (spoiler: probably neither, we all missed Venezuela)

Five Links (and three graphs) by Auren Hoffman • 56 implied HN points • 15 Jan 26
đź•ą Technology Prediction Markets
  1. A public prediction game pitted humans against three AIs and laid out ten bets for 2026 across health, geopolitics, economy, and AI impact.
  2. The AIs showed very different strategies — ChatGPT was strongly contrarian, Claude hedged cautiously, and Gemini bet optimistically — highlighting divergent machine reasoning.
  3. Both humans and AIs missed a major development in Venezuela, reminding us that experts and models alike can have big blind spots even after modest collective gains in prior years.

Mantic Monday 3/11/24

Astral Codex Ten • 4336 implied HN points • 12 Mar 24
đź•ą Technology Prediction Markets
  1. Academic teams are working on fine-tuning AIs for better predictions, competing with the wisdom of crowds.
  2. The use of multiple AI models and aggregating predictions may be as effective as human crowdsourced predictions.
  3. Superforecasters' perspectives on AI risks differ based on the pace of AI advancement, showcasing varied opinions within expert communities.

Mantic Monday 2/19/24

Astral Codex Ten • 4473 implied HN points • 20 Feb 24
đź•ą Technology Prediction Markets
  1. AI forecasters are becoming more prevalent in prediction markets, with the potential for bots to compete against humans in forecasting events.
  2. FutureSearch.ai is a new company building an AI-based forecaster that prompts itself with various questions to estimate probabilities.
  3. The integration of AI in prediction markets like Polymarket could increase market participation and accuracy, offering a new way to predict outcomes on various topics.

Mantic Monday 5/22/23

Astral Codex Ten • 5919 implied HN points • 23 May 23
đź’° Finance Prediction Markets
  1. A play money prediction market turned serious when whales v. minnows gambling escalated, resulting in heavy financial losses, leading to ethical challenges.
  2. Congress is facing the decision of raising the debt ceiling, which if not resolved, could lead to severe economic consequences.
  3. Research shows that experts fare better than algorithms and non-experts in long-term geopolitical forecasting, raising questions about the accuracy and possibilities of such predictions.

Betting on Chaos: Professional Political Gamblers

ChinaTalk • 340 implied HN points • 29 Jul 25
🇺🇸 U.S. Politics Prediction Markets
  1. Prediction markets, like Polymarket and Kalshi, allow people to bet on political events, offering a unique way to gauge public sentiment and forecast outcomes. These markets can draw significant interest and money, sometimes reaching millions in trading volume.
  2. To succeed in prediction markets, a trader needs to stay informed and research past events to make educated bets. Success often comes from fast thinking and separating personal feelings from market decisions.
  3. As prediction markets grow, there are concerns about insider trading and ethical boundaries. Regulators may step in as the impacts of these markets on real-world events become more pronounced.

Futarchy, Distortions from Hedging, and Other Thoughts

Something to Consider • 79 implied HN points • 28 Jun 24
🇺🇸 U.S. Politics Prediction Markets
  1. Futarchy is a new way to make decisions where people vote on what they want to achieve, but experts decide the best way to get there using prediction markets. This means we focus on outcomes instead of specific policies.
  2. When people are risk-averse, they might prefer safer options, and this can affect the choices made in a futarchy setup. It’s important to balance between achieving high goals and taking on too much risk.
  3. Even though prediction markets are useful, they can be skewed by people's efforts to hedge against risks. This means prices might not always reflect the true chances of outcomes, but they can still provide valuable information.

Nooceleration: A Better World is Possible

Nooceleration • 452 implied HN points • 05 Jan 24
đź•ą Technology Prediction Markets
  1. Noocelerationism emphasizes optimizing rational self-aware thought on the planet for a better future.
  2. Mainstream visions for the future may lead to suboptimal outcomes, so alternative routes like biosingularity are considered.
  3. Decentralized blockchain tech and network states can play roles in controlling AI and reshaping global governance.

Safe Bets, Lotto Tickets, and Vibes

Richard Hanania's Newsletter • 1097 implied HN points • 08 Oct 24
🇺🇸 U.S. Politics Prediction Markets
  1. Prediction markets help people place bets on political outcomes, including election results. It's a way to predict what might happen based on the money people are willing to gamble.
  2. There are different types of bets: safe bets on likely outcomes, long-shot bets on unlikely events, and those based on gut feelings or 'vibes.' Each type can be a strategy for making money in these markets.
  3. Overall, despite the uncertainty in politics, the belief is that democracy will continue to function and elections will still be certified. Even in the face of chaos, the systems in place are expected to hold.

Betting Markets

Points And Figures • 746 implied HN points • 18 Oct 24
🇺🇸 U.S. Politics Prediction Markets
  1. Betting markets can predict election outcomes more accurately than polls. They quickly adjust based on new information, making them reliable for forecasting.
  2. Unlike traditional markets, prediction markets are less likely to be manipulated. Studies show attempts to influence them usually don't succeed, keeping the forecasts steady.
  3. Understanding how the market works is key. It gathers and shares information in a way that motivates accuracy, unlike traditional polling methods that can miss the mark.

The Lazy Tyranny of the Wait Calculation

One Useful Thing • 1048 implied HN points • 16 Jan 24
đź•ą Technology Prediction Markets
  1. Consider waiting for technology to improve before embarking on projects in fields where advancements are rapid.
  2. AI has the potential to significantly impact various industries, leading to the need for strategic thinking about project timelines.
  3. Evaluate the risks and benefits of waiting for AI advancements in decision-making processes, balancing learning, incentives, and the unpredictability of future developments.

Moneyballocracy

Gradient Ascendant • 20 implied HN points • 22 Dec 25
đź•ą Technology Prediction Markets
  1. AI models are rapidly getting good at forecasting and already rival the wisdom of crowds and some human forecasters.
  2. Forecasting with AI is cheap and scalable, so you can run detailed, conditional predictions across thousands of stocks, counties, or scenarios that used to be impractical.
  3. Making the future more legible will reshape elections and politics: it can help match policy to voter preferences but also enable targeted manipulation, and any side that uses it effectively will gain a real advantage.

Introducing prediction market embeds for Substack

Substack • 319 implied HN points • 29 Jul 24
đź•ą Technology Prediction Markets
  1. Substack now allows users to embed prediction markets from Polymarket in their posts. This can make articles more engaging by providing real-time data on trending topics.
  2. The new feature is launching just in time for the 2024 Paris Olympics, letting writers easily add betting odds on various events. This could enhance the coverage of the Olympics on Substack.
  3. Polymarket is also starting a news site on Substack called 'The Oracle,' which will give insights and analyses based on active prediction markets. This aims to help readers understand global events better.

LK-99 red flags and other miscellany

Dan Elton's Newsletter • 98 implied HN points • 28 Sep 23
🔬 Science Prediction Markets
  1. Potential red flags in scientific research include institutional names, graph quality, and suspicious videos or websites.
  2. Impurities like copper sulfide and uneven copper doping can lead to erroneous results in material studies.
  3. The LK-99 incident highlighted the importance of skepticism, replication, and the limitations of prediction markets and theoretical studies.