A public record of predictions made by well-known people: their exact words, when they said them, and how things turned out.
| Person | Category | Predictions | Scored | Accurate | Late | Partial | Wrong | Accuracy |
|---|---|---|---|---|---|---|---|---|
| Al Gore | Politician | 12 | 8 | 2 | 0 | 1 | 5 | 31% |
| Allan Lichtman | Academic | 10 | 8 | 6 | 0 | 1 | 1 | 81% |
| Anthony Fauci | Scientist | 16 | 14 | 10 | 0 | 3 | 1 | 82% |
| Barack Obama | Politician | 9 | 9 | 5 | 1 | 1 | 2 | 67% |
| Bill Ackman | Investor | 9 | 6 | 2 | 0 | 2 | 2 | 50% |
| Bill Gates | Tech leader | 21 | 11 | 4 | 0 | 4 | 3 | 55% |
| Bill McKibben | Commentator | 9 | 5 | 4 | 0 | 1 | 0 | 90% |
| Cathie Wood | Investor | 23 | 15 | 5 | 0 | 1 | 9 | 37% |
| Daniel Kokotajlo | AI researcher | 8 | 8 | 7 | 0 | 1 | 0 | 94% |
| Dario Amodei | Tech leader | 13 | 2 | 0 | 1 | 1 | 0 | 50% |
| Demis Hassabis | AI researcher | 6 | 0 | 0 | 0 | 0 | 0 | — |
| Donald Trump | Politician | 23 | 19 | 3 | 0 | 2 | 14 | 21% |
| Ed Yardeni | Market strategist | 16 | 12 | 8 | 2 | 0 | 2 | 75% |
| Elon Musk | Tech leader | 10 | 5 | 0 | 0 | 1 | 4 | 10% |
| Eric Schmidt | Tech leader | 16 | 11 | 3 | 0 | 3 | 5 | 41% |
| Gary Marcus | AI researcher | 18 | 15 | 11 | 0 | 3 | 1 | 83% |
| Geoffrey Hinton | AI researcher | 11 | 1 | 0 | 0 | 0 | 1 | 0% |
| Gordon Chang | Commentator | 10 | 6 | 2 | 0 | 1 | 3 | 42% |
| Harry Dent | Market strategist | 18 | 17 | 3 | 0 | 2 | 12 | 24% |
| Ian Bremmer | Commentator | 11 | 11 | 9 | 0 | 0 | 2 | 82% |
| Jack Dorsey | Tech leader | 6 | 2 | 0 | 0 | 0 | 2 | 0% |
| James Hansen | Scientist | 17 | 10 | 9 | 0 | 0 | 1 | 90% |
| Jamie Dimon | Business leader | 16 | 10 | 6 | 0 | 0 | 4 | 60% |
| Janet Yellen | Policymaker | 13 | 12 | 7 | 0 | 2 | 3 | 67% |
| Jensen Huang | Tech leader | 13 | 1 | 0 | 0 | 0 | 1 | 0% |
| Jeremy Grantham | Investor | 9 | 9 | 4 | 0 | 1 | 4 | 50% |
| Jeremy Siegel | Economist | 19 | 16 | 8 | 2 | 0 | 6 | 56% |
| Jerome Powell | Policymaker | 15 | 12 | 6 | 0 | 5 | 1 | 71% |
| Jim Cramer | Commentator | 18 | 17 | 2 | 0 | 1 | 14 | 15% |
| Joe Biden | Politician | 16 | 14 | 8 | 0 | 2 | 4 | 64% |
| John Mearsheimer | Academic | 11 | 9 | 7 | 0 | 0 | 2 | 78% |
| Kevin Hassett | Economist | 13 | 11 | 2 | 0 | 2 | 7 | 27% |
| Larry Summers | Economist | 19 | 14 | 5 | 0 | 0 | 9 | 36% |
| Marc Andreessen | Investor | 14 | 10 | 6 | 1 | 2 | 1 | 75% |
| Mark Zuckerberg | Tech leader | 16 | 7 | 3 | 0 | 3 | 1 | 64% |
| Masayoshi Son | Investor | 8 | 0 | 0 | 0 | 0 | 0 | — |
| Michael Burry | Investor | 11 | 8 | 3 | 0 | 3 | 2 | 56% |
| Michael Saylor | Crypto figure | 15 | 7 | 2 | 0 | 1 | 4 | 36% |
| Michio Kaku | Scientist | 13 | 5 | 0 | 1 | 2 | 2 | 30% |
| Mohamed El-Erian | Economist | 17 | 17 | 10 | 0 | 4 | 3 | 71% |
| Mustafa Suleyman | Tech leader | 5 | 1 | 0 | 0 | 0 | 1 | 0% |
| Nancy Pelosi | Politician | 10 | 10 | 2 | 0 | 0 | 8 | 20% |
| Nate Silver | Commentator | 11 | 7 | 4 | 0 | 0 | 3 | 57% |
| Nouriel Roubini | Economist | 25 | 20 | 6 | 0 | 2 | 12 | 35% |
| Paul Ehrlich | Scientist | 13 | 11 | 0 | 0 | 1 | 10 | 5% |
| Paul Krugman | Economist | 22 | 19 | 8 | 0 | 2 | 9 | 47% |
| Peter Schiff | Investor | 27 | 23 | 4 | 3 | 0 | 16 | 24% |
| Peter Thiel | Investor | 8 | 5 | 0 | 0 | 1 | 4 | 10% |
| Peter Zeihan | Commentator | 16 | 8 | 1 | 0 | 1 | 6 | 19% |
| Ray Dalio | Investor | 7 | 5 | 2 | 0 | 0 | 3 | 40% |
| Ray Kurzweil | Futurist | 26 | 19 | 4 | 6 | 0 | 9 | 37% |
| Robert Kiyosaki | Commentator | 14 | 12 | 2 | 4 | 0 | 6 | 33% |
| Sam Altman | Tech leader | 16 | 4 | 3 | 1 | 0 | 0 | 88% |
| Stephen Hawking | Scientist | 7 | 3 | 1 | 0 | 0 | 2 | 33% |
| Steve Ballmer | Tech leader | 9 | 7 | 1 | 0 | 3 | 3 | 36% |
| Thomas Friedman | Commentator | 7 | 7 | 4 | 0 | 1 | 2 | 64% |
| Tom Lee | Market strategist | 15 | 14 | 5 | 0 | 1 | 8 | 39% |
| Vinod Khosla | Investor | 13 | 3 | 0 | 1 | 0 | 2 | 17% |
| Vitalik Buterin | Crypto figure | 9 | 4 | 3 | 0 | 0 | 1 | 75% |
| Warren Buffett | Investor | 10 | 8 | 5 | 1 | 1 | 1 | 75% |
| Yann LeCun | AI researcher | 7 | 1 | 0 | 0 | 0 | 1 | 0% |
Accuracy counts accurate as 1, late or partial as ½, inaccurate as 0. Pending predictions don't count.
“So we think we're going to see some major downside surprises in inflation during the next three to six months.”Economy
“Reducing inflation is likely to require a sustained period of below-trend growth. Moreover, there will very likely be some softening of labor market conditions.”Economy
“There's no doubt in my mind that we will get a higher number than 9.1 percent”Economy
“We're looking at malnutrition for a minimum of a half a billion people later this year. That will probably triple next year and it will get significantly worse from there before it gets better.”EconomyGeopolitics
“in order to stop the inflationary spiral, the Fed will need to rapidly raise rates to 4-5% by next year, which hopefully will be enough to snuff inflation.”EconomyMarkets
“That was multiple compression. Next up, earnings compression.”MarketsEconomy
“Deflationary pulses from this- -> disinflation in CPI later this year --> Fed reverses itself on rates and QT --> Cycles.”Economy
“As to whether there is a recession in the near term, that is more likely than not. It is not a certainty, but it appears more likely than not”Economy
“We need five years of unemployment above 5% to contain inflation”Economy
“I fear that it's still going to get worse, we may well get to 9% at this rate.”Economy
“We should look the Fed to increase by at least 50 basis points this coming week.”Economy
“And I think, given where we have gotten to, it's more likely than not that we will have a recession within the next two years.”Economy
“Maybe not years, but definitely a year. I think until the Chinese government is able to get their elderly population near fully vaccinated, they're not close to that yet, and or get therapeutics that work at scale, they need zero-COVID.”HealthEconomyPolitics
“That hurricane is right out there down the road coming our way.”Economy
“We're about to go into a recession already… There's no soft landing here.”Economy
“I think we have a good chance to have a soft or softish landing or outcome, if you will.”Economy
“And I think that is true because the Russian economy is going to be permanently in a state of free fall.”EconomyGeopolitics
“It is telling us that the central banks are bankrupt, that we are at the end of the fiat money regime.”EconomyCryptoBanking
“My sense of this is that given the likely paths of inflation, we’re likely to have a need for nominal interest rates, basic Fed interest rates, to rise to the 4 percent to 5 percent range over the next couple of years.”MarketsEconomy
“The economy is on track to be cut in half in the coming years.”EconomyGeopolitics
“So it probably won't be necessary to put the economy through an '80s-style wringer to get inflation down.”Economy
“in my view, the probability of a recession within the next year is not particularly elevated.”Economy
“The Fed's current policy trajectory is likely to lead to stagflation, with average unemployment and inflation both averaging over 5 percent over the next few years”Economy
“Overall, the US is likely to outperform Europe, which is likely to slide into recession”EconomyGeopolitics
“its economy is set also to contract by about a third”EconomyGeopolitics
“Economic activity in Ukraine is likely to contract by well over a third this year”EconomyGeopolitics
“housing alone will likely be enough to push core CPI above 2 percent in 2022”Economy
“My view is a pretty good chance there will be more than four. It could be six or seven.”Economy
“my conviction is growing that the bigger surprise to the markets will be price deflation – both cyclical and secular”Economy
“For one thing, despite high headline numbers lately, underlying inflation by the end of 2022 isn't likely to be anywhere near 1980 levels.”Economy