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.

Rohit Sharma lost twelve tosses in a row. The sequence feels too extraordinary to be ordinary—yet chance can produce a streak like this without a rigged coin, a coordinated plot, or any hidden hand.

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Count the assumptions before building the story

A chance explanation needs one familiar mechanism: repeated random outcomes sometimes cluster. A rigging explanation must add new claims—someone interfered, the interference worked, and it escaped detection. Occam’s Razor puts the lower-assumption account first in line for testing because every added claim creates another unsupported way for the explanation to fail. This corrects the pull of Narrative Fallacy: an unusual sequence invites a satisfying cause even when probability is sufficient.

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Where it shows up

Twelve lost tosses

The losing streak is evidence that needs explaining, but its improbability alone does not distinguish ordinary bad luck from manipulation. The simpler null hypothesis must be tested before the elaborate alternative earns belief.

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Simple does not mean safe

Occam’s Razor cannot tell you that the simplest account is true. Real conspiracies, hidden interventions, and complicated causes exist. Once evidence strongly conflicts with the low-assumption explanation, refusing complexity becomes denial rather than parsimony.

Write an assumption ledger

When an uncanny result tempts you toward a hidden-cause story, write down the extra claims that story requires. Test the ordinary explanation first, then demand separate evidence for each additional claim before accepting the more elaborate account.

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