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“But as no two (theoreticians) agree on this (skin friction) or any other subject, some not agreeing today with what they wrote a year ago, I think we might put down all their results, add them together, and then divide by the number of mathematicians, and thus find the average coefficient of…” quote by Anonymous
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“But as no two (theoreticians) agree on this (skin friction) or any other subject, some not agreeing today with what they wrote a year ago, I think we might put down all their results, add them together, and then divide by the number of mathematicians, and thus find the average coefficient of error. (1908)”

Anonymous

About This Quote

Source Paper: 1908, Physics Journal, unknown title

Scientists disagree, so averaging their results may estimate error but ignores systematic bias.

In simple terms: Averaging conflicting data gives a rough error estimate.

Key Takeaway

Use statistical averaging cautiously.

Themes

science uncertainty methodology error_analysis

Mood

skeptical analytical

Type

academic critical

When to use this quote

  • research
  • engineering
  • policy_making

Key Concepts

averaging bias collaboration

Questions to Reflect On

  • How reliable is a consensus when data conflict?
  • When should you reject outliers?
A Different Perspective

Averaging can mask underlying flaws.

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