Michael Tromba
Michael Tromba

90% of startups fail

90% of startups fail

Then build 10 startups?

  • P(all fail) = 0.9¹⁰ = 0.35
  • P(at least one succeeds) = 1 - 0.35 = 0.65

65% chance of winning.

Jk it's actually 97%

The 65% assumes each attempt has the same 10% chance of success.

In reality, provided you are reasonably intelligent and reflective, with each startup attempt:

  • Your skills sharpen
  • Your network expands
  • You learn from mistakes
  • Your taste / opportunity radar improves
  • Your execution speed increases
  • Etc.

Maybe the win rate progression looks more like:

Startup #Success ProbabilityExplanation
15%Dumb mistakes
28%More dumb mistakes
312%Even more dumb mistakes
418%You still suck
525%You suck a little less
632%Things starting to click
740%++skills
848%++skills
955%++skills
1060%Mastery

P(at least one success) = 1 - (0.95 × 0.92 × 0.88 × 0.82 × 0.75 × 0.68 × 0.6 × 0.52 × 0.45 × 0.4)

P(at least one success) = 1 - 0.0296

P(at least one success) = 97%

Should you build 10 startups?

Idk but if you do, send me an email in 20 years and let me know how it went.