The Folly of Certainty

Marks contends that expressing absolute certainty about future outcomes in politics, economics, and markets is fundamentally misguided, citing repeated failures by credentialed forecasters. He opens with Jen O'Malley Dillon's pre-debate claim that "Joe Biden is going to win, period," then pivots to a broader argument: the 2016 election proved that near-universal confidence in Hillary Clinton's victory and market collapse were both wrong, yet forecasters merely tweaked their models rather than acknowledging the limits of prediction. Similarly, the Federal Reserve's 2021 assertion that inflation would be "transitory" and mid-2022 consensus that rate hikes would trigger recession both failed to materialize as expected, yet optimists today claim vindication by pointing to stock gains—ignoring that they were wrong about rates. Marks explains why markets are harder to predict than economies: stock prices swing 13.1% annually on average versus 1.8% for GDP, because investor psychology and emotion overwhelm fundamentals in the short run. He quotes John Kenneth Galbraith on "the specious association of money and intelligence"—the false belief that successful investors possess special insight into fields beyond investing—and emphasizes that intellectual humility (admitting "I don't know" or "I could be wrong") is essential to avoiding catastrophic errors. He closes by noting that even the 125-to-1 longshot Barbora Krejcikova won Wimbledon, and that no one can predict how the Trump assassination attempt will affect the election or markets, reinforcing that "making predictions is largely a loser's game."