Survivorship Bias

Survivorship bias — the error of reasoning only from the winners that made it past a selection process while ignoring the losers that didn’t — surfaces in Kyle’s corpus mainly through the venture-capital lens. In The Power Law — Venture Capital & the Making of the New Future, it underpins Tim O’Reilly’s critique of blitzscaling and the broader debate over whether VC outcomes reflect skill or luck: any claim about “what successful founders did” risks being a story about the survivors, with the much larger graveyard of identically-acting failures silently dropped from the sample.

The deeper treatment of this concept lives on the canonical page Silent Evidence - Survivorship Bias, which works through Nassim Nicholas Taleb’s “silent evidence” framing in The Black Swan (the drowned worshippers, Balzac’s nightingales, the cemetery of failed risk-takers) and its consequences for how we read Venture Capital and entrepreneurship. This page is the venture-history pointer into that idea.

Context: Survivorship bias is classically illustrated by Abraham Wald’s WWII analysis of returning bombers — armor the spots with no bullet holes, because planes hit there never came back to be counted.

Where this appears

• The Power Law — Venture Capital & the Making of the New Future — O’Reilly’s blitzscaling critique and the VC skill-vs-luck reasoning both lean on survivorship bias
• Silent Evidence - Survivorship Bias — the canonical page; Taleb’s “silent evidence” treatment of the same concept

From Roam

• The fallacy of estimating the properties of an activity by only sampling those that succeeded, rather than sampling everyone.
• Here are a few examples:
• • the average professional footballer makes good money, but the average person who tried to make it to professional footballing doesn’t.
• • people who survive the Russian Roulette might believe it’s safe.