Track records of predictions since 2011

Pundits don’t keep score. Avow does.

Following the wrong pundits costs you money. So we check what they said would happen against what actually happened, and we show the evidence.

The catalog

5 public
Profiles
5
Scored
994
Domains
8

Leaderboard

Published scores.

Overall score across every domain.

#1
Lyn Aldennet positive

American macro investment strategist, founder of Lyn Alden Investment Strategy, known for fiscal-dominance / liquidity analysis and Bitcoin advocacy; author of Broken Money (2023).

marketseconomyenergytech

Score

+19

Records

37 scored

#2

Quantitative crypto and macro analyst (PhD in nuclear engineering, ex-Sandia/NASA) who founded Into the Cryptoverse in 2019 and posts near-daily Bitcoin, altcoin, and market forecasts on YouTube.

marketseconomy

Score

+13

Records

700 scored

#3
Arthur Hayescoin flip

Co-founder and former CEO of BitMEX (inventor of the perpetual swap) and Chief Investment Officer of the Maelstrom family office; a prolific macro-crypto essayist who since February 2021 has published a roughly biweekly long-form essay (the "Crypto Trader Digest," on Medium as "Crypto Hayes" and cross-posted to Substack) packed with bold, datable Bitcoin/Ether price targets and monetary-policy timing calls, and a heavily-quoted guest across crypto podcasts, YouTube interviews and X, known for provocative, comedic, historically-referenced predictions that move market sentiment.

marketseconomytechgeopolitics

Score

+5

Records

58 scored

#4
Peter Zeihanstrong negative

Geopolitical strategist and former Stratfor VP of analysis who left Stratfor in 2012 to found Zeihan on Geopolitics; a high-volume forecaster on deglobalization, demographics, energy and great-power decline, known for bold, datable calls (China's collapse "this decade," a roughly 50% fall in Russian oil output, war-driven global famine) across a near-daily video/newsletter operation and a series of bestselling books.

geopoliticseconomyenergysocietymarkets

Score

-63

Records

177 scored

#5
Elon Muskstrong negative

CEO of Tesla and SpaceX and owner of X who makes frequent dated, falsifiable public forecasts about self-driving cars, Mars, robots, AI, crypto and the US economy.

techeconomymarketspoliticsgeopoliticsenergysociety

Score

-100

Records

22 scored

FAQ

Common questions.

What is an Avow score?
It's one number, from −100 to +100, showing how accurate someone's public predictions have been. Zero means they always hedged and never really committed. A high positive score means they made bold calls and kept getting them right. A negative score is a warning sign: their confident calls tended to be wrong, so you'd have done better doing the opposite of what they said.
Where do the predictions come from?
From the pundits' own public words: TV and podcast transcripts, columns, posts, and books. We save every prediction with the exact quote, the date, and a link to a stored copy of the original. Each person also gets a public list of everywhere we looked, so you can see what's covered and what isn't.
How do you decide whether a prediction came true?
First we write down what would count as right or wrong, before we look at the result, so the standard is fixed in advance. Then three AI judges grade it against what actually happened, and we take the middle score. The judges are all Claude Opus, run three separate times with no shared memory, so they can't influence each other. Deadlines are strict: coming true too late still counts as a miss.
How is the number calculated?
For each call we weigh how sure the person was against what actually happened. Being confident and right earns the most, being confident and wrong costs the most, and hedging does a little of both. Bigger, higher-stakes claims count for more, and we hold new names near 0 until they've built a real track record, so a few lucky calls can't inflate a score. The AI judges grade each call, then one fixed formula, applied the same way to everyone, turns those grades into the score, and we show how much each call moved the total.
Isn't this cherry-picked?
This is the risk we worry about most. We don't just collect someone's worst moments. We go through their whole archive with a set method, check a sample of what we might have missed, and show every prediction, the good and the bad. When we haven't gathered enough to be fair, we mark the score "provisional" instead of pretending it's final. That is what the "small sample" tag means.
What if you got something wrong? Can the pundit respond?
Yes. Every prediction has its own page and a full history you can inspect. Anyone, including the pundit, can challenge a quote, a result, or how we read their confidence. We log the dispute, check it again, and if something was off we fix it and the score updates automatically.

Want the full detail? Read the methodology.

Every public score traces back to sourced prediction records.

Avow is an independent project. The pundits scored here are not affiliated with Avow and do not endorse it. Names and likenesses are used for identification and commentary.

Evidence firstMethodology