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by brudgers
4155 days ago
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Perhaps what has been missed is the difference between a single coin flip and a combination of coin flips? Consider one startup. f(x) = #fail
succeeds better than 50%, and f(x) = #succeed
succeeds less than 50%. This is due to the nature of startups.Sure, it's easy to get about 50% accuracy for one startup by flipping a coin: f(x) = if rand(1) > 0.5 then #fail else #succeed
But consider the case of two companies A and B. There are now four outcomes: A = #fail, B = #fail
A = #succeed, B = #fail
A = #fail, B = #succeed
A = #succeed, B = #succeed
If we flip a coin, we have to flip it twice. Our probability that two coin flips match the correct tuple is 25%, and bumping that up to 50% is a massive improvement.Investors diversify their portfolios. In a portfolio of 100 startups there's probably a winner. Improving the selection of companies means reducing the number of a fund's portfolio companies necessary for a reasonable probability of a winner. More smaller yet successful funds makes capital more efficient. Better pruning of boolean search spaces has real value. Hence: When predicating that a company will fail,
he adds, they’re right 88 percent of the time.
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