What pre-founders actually need isn't more data — it's fewer illusions
Across the 86 projects we've coached, 63% of failures traced back to one common problem: using survivorship bias as the basis for decisions.
We've coached 86 projects to date (through Q1 2026). 41 reached commercial success (Tier-2 or above); 45 stalled at Tier-3 or lower.
Our reverse-causal analysis found that among the failures, 63% made the same kind of mistake: using 'successful founders' stories' as the basis for their decisions.
Successful founders' retellings contain too much hindsight rationalization. When you treat them as a path, you see 1 winner and miss the 999 who failed.
ZhiQing PreFounder's core difference: we show you the 8,000 failed paths out of 12,000 Monte Carlo runs — understanding why something fails matters more than understanding why it succeeds.
That's the point of the Critic Agent: every report must pass counter-falsification, and every conclusion must have a control group of opposing assumptions.
If you're seriously considering a startup, spend your first budget on 'falsifying,' not 'confirming.'
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