That’s called confirmation bias
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Yikes sample size matters dude. It feels like you don’t understand what probability is used for, nor hypothesis. There’s lots of sites that can explain it to you.
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There's one of us here who understands probability and actually performed the calculations about the toy example in discussion and it wasn't you. You're the one who took a toy example and changed an irrelevant parameter (100 apples in the bag to 1 million changes nothing).
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Wrong sample size bias When the wrong sample size is used in a study: small sample sizes often lead to chance findings, while large sample sizes are often statistically significant but not clinically relevant.
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You don't get it. Take *your example* - you can draw exactly the conclusions I stated above - very simple calculations to show each of them. With random 5 draws you can make a very good guess about a distribution. In reality we have way more than 5 draws.
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