This is an important topic to me, and I'm glad to see one of the "winners" state plainly how much luck is involved in poker, and by analogy, many other areas of life.<p>I'd love to see articles like this written by someone who did <i>not</i> win, too. It's too bad that people pay less attention to those stories, as he mentioned in the article (c.f. clickbaity title). At least this is a winner admitting the importance of luck, rather than just saying "do what I did, and you can win too!" [1]<p>I'm surprised there was no mention of modern machine learning "solvers" for poker, which can get very close to perfect play. The game is not truly solved in the game-theoretic sense, but so close as to make very little difference, as I understand it. Some professional players do strange things like look at the second hand of their watch, as a source of randomness as input to their decision making, since ideal play requires some true randomness in your actions.[2]<p>So, in addition to the "results-based vs. process-based" angles presented in the article, I'd say there's also a "mathematics-based" consideration. At least for poker, where all the rules are perfectly clear. Harder to apply that to real-life poker-esque situations like founding startups, of course.<p>[1] As always, relevant xkcd: <a href="https://xkcd.com/1827/" rel="nofollow">https://xkcd.com/1827/</a><p>[2] <a href="https://www.nytimes.com/2022/01/18/magazine/ai-technology-poker.html" rel="nofollow">https://www.nytimes.com/2022/01/18/magazine/ai-technology-po...</a> — NYT "How A.I. Conquered Poker" (alt link: <a href="https://archive.is/QbXXE" rel="nofollow">https://archive.is/QbXXE</a>)