P-HACKING IN STARTUPS

Summary from the TLDR Web Dev newsletter

Startups often fall into p-hacking traps due to pressure for quick results. Common p-hacking practices include ignoring corrections for multiple comparisons, shifting metrics after seeing results, and prematurely stopping experiments. To avoid p-hacking, startups should pre-register hypotheses, use appropriate corrections, and avoid peeking at results before the experiment's completion.