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Chamarti Sreekar
Passionate about Pos... • 21d
Startups love using data to prove their product is working. But sometimes, they bend the data just to make it look better. That’s called p-hacking—when you play with numbers until they tell the story you want. It can show up in many ways: only showing the best results, hiding the bad ones, or trying many tests and only sharing the one that “worked.” It looks smart—but often, it’s just chance, not real progress. The problem? You fool others—and yourself. Investors may believe things are going great, the team builds the wrong features, and big decisions get made on weak numbers. Good data means being honest. Say what you’re testing before you test it. Share the full picture, not just the wins. Focus on what really matters, not just what looks impressive. P-hacking may help you look good today—but it hurts your startup tomorrow. Use data to learn, not to lie.
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