Why the p-value cutoff might be misleading your scientific conclusions
In short: We often use p-values to decide if a result is unusual enough to reject a null hypothesis. This video explores the logical flaws, common misinterpretations, and the arbitrary nature of these statistical thresholds.
While p-values provide a predetermined cutoff for testing whether two things are the same, the logic behind them is fraught with issues. The video examines how these values are frequently misinterpreted and why they fail to provide the exact information researchers often seek. Furthermore, it addresses the problem of the significance threshold being arbitrary and potentially not stringent enough for certain scientific scenarios.
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Sources
- Summary by Intellect · source: P-Value Problems: Crash Course Statistics #22
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