Science Explains Rohit Sharma Losing 12 tosses in a Row? - Future IQ
Concepts in this episode
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P-value mechanism
A p-value measures how surprising the observed evidence would be if the null hypothesis were true. A low value weakens that ordinary explanation; it does not automatically establish a preferred alternative.
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Survivorship Bias mental-model
Survivorship bias appears when visible successes are mistaken for the whole sample. Once failures disappear from view, success looks easier, predictions look stronger, and the past looks kinder than the evidence warrants.
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Null Hypothesis principle
Every claim of skill or special causation needs a live baseline. A result becomes meaningful only when it outperforms the simplest ordinary explanation or the passive alternative available without insight.
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Multiple Comparisons Problem mechanism
An outcome can be rare per trial yet unsurprising across many trials. Judge its rarity only after counting all the opportunities for it to occur.
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Occam's Razor principle
Prefer the explanation that adds the fewest unsupported assumptions, then abandon it when stronger evidence demands more complexity. Simplicity is a testing priority, not proof.
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Bayesian Prior mechanism
New evidence should move belief in proportion to both its strength and what was already known. A weak claim should not erase a strong prior built from established science and repeated experience.
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Compared to What principle
Claims about reliability, risk, or usefulness mean little in isolation. Judge an option against the real substitute available—not against an imaginary error-free standard.
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