#AIS: FiveThirtyEight's Nate Silver on how gamblers think

Daniel Negreanu told Silver he rebuilt his game around computer solvers after realizing the “solver kids” were better than him in some formats, and the change improved his results. Silver’s broader point is that elite intuition is trained by thousands of repetitions and must keep adapting as opponents and tools improve.

Professional betting rewards tiny, repeatable edges: Silver says a strong sports bettor might win about 55% of bets when roughly 52.5% is needed just to beat the house cut. That margin explains why poker and betting punish small mistakes far more relentlessly than fields where the average investment can still make money.

Silver distinguishes permanent contrarianism from being early: a sports bettor wants a mispriced line to stay wrong, while a venture investor eventually needs the market to agree. In VC, the useful edge is often anticipating a founder, sector, or company roughly six to twelve months before broader capital catches up.

Silver had interviewed Sam Bankman-Fried, who told him he would take opportunities with only about a 50% chance of success when the payoff was high enough. Silver used that mindset as an example of extreme “shot-taking,” while warning that studying only spectacular winners creates severe survivorship bias.

Silver argues that good risk-takers judge decisions by the information and reasoning available at the time, not by hindsight or whether one bet happened to win. In poker or investing, the real test is whether you can lose badly, reset emotionally, and make the next decision with the same process.

Silver says the very best gamblers often care less about money than outsiders assume; they chase competition, mastery, and the game itself, and may quit when bored. Repeated swings between being rich and broke can also make money feel temporary, which he says helps explain their generosity and willingness to spend freely.

Before the 2016 election, Silver says FiveThirtyEight put Trump around 30% when markets were near 15%, yet liberals attacked the model for being too favorable to Trump. He later described forecasting as asymmetric work: correct calls earn little credit, while actual or perceived misses bring heavy punishment, helping drive him beyond election forecasting. (ABC News)

Silver says polling has little clear effect in two-candidate elections but can change behavior in crowded primaries, where voters may switch toward a stronger second choice as viability shifts. His example was a Warren voter moving to Sanders over Biden after Warren weakened, which helps explain why multi-candidate election models are much harder. (ABC News)