Confirmation bias and signs
How we hunt for evidence that fits what we already hope or fear.
Confirmation bias is the tendency to search for, interpret, and remember information that fits existing beliefs (Nickerson, 1998). If you hope a sign means you are on the right path, you may overweight friendly evidence and underweight neutral days.
Klayman & Ha (1987) showed that people often test hypotheses in ways that can only confirm them — asking "Was that my sign?" instead of "What would count against it?" That is not a character flaw; it is a default setting of human reasoning.
Signs as gentle hypotheses
Lucky Sign frames a daily sign as a soft hypothesis about attention, not destiny. Did you notice anything? A little? Not at all? All answers are valid. Tracking "nothing happened" days prevents the record from becoming a highlight reel of hits.
Reducing bias without killing wonder
Simple habits help: write before you interpret, note misses as well as hits, and share stories without claiming universal rules. Community aggregates — with sample sizes — make it harder for any one anecdote to stand in for truth.
Why public thresholds matter
We only index sign pages when enough stories and days exist. That keeps search results from amplifying tiny samples into false certainty.
References
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Klayman, J., & Ha, Y. W. (1987). Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94(2), 211–228. doi.org/10.1037/0033-295X.94.2.211
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Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220. doi.org/10.1037/1089-2680.2.2.175