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Ethical problem

As explained in Grokking Statistics

A situation in which statistical practice creates a conflict involving harm, honesty, responsibility, or fairness.

An ethical problem arises when statistical practice creates a conflict involving harm, honesty, responsibility, or fairness. Incentives can reward favorable conclusions and punish inconvenient ones. section 1.4

A successful pricing system?

A company claims a new pricing system increased revenue by $70 million with statistical significance. A competitor’s retreat may explain the increase instead, creating pressure to present a convenient conclusion diplomatically. section 1.4

When findings become inconvenient

A cereal company commissions research on diabetes risk, then pressures the researcher to re-evaluate unfavorable findings, search for different variables, or bury the study. Cherry-picking supportive studies can make weak evidence look persuasive. section 1.4

How Grokking Statistics covers it

How deep it goes
Uses concrete dilemmas to identify conflicts and misuse, stopping short of formal ethical frameworks or detailed procedures.
Examples
Examines a revenue claim confounded by competitor retreat and a cereal study pressured toward favorable findings.
What it assumes
Assumes statistical significance as a familiar idea while developing ethical reasoning through practical scenarios.
What you can do after
Evaluate statistical claims by questioning alternative explanations, incentives, selective reporting, and pressure on researchers.
How it connects
Connects statistical significance, alternative explanations, data torturing, and cherry-picking to incentive structures.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Grokking Statistics. The section links point to the parts of the book it draws on.