The mismeasure of man

352 pages

English language

Published Jan. 6, 1981 by Norton.

OCLC Number:
7574615

View on OpenLibrary

(15 reviews)

Examines the history and inherent flaws of the tests science has used to measure intelligence.

23 editions

Review of 'The mismeasure of man' on 'Goodreads'

The edition I have is so old it doesn't even have an ISBN barcode :) so it is pre Bell Curve and I haven't read the additions expressly about that controversy. But the danger is far older than that book, and this is a well-reasoned warning about and response to the abuse of standardized tests to categorize and classify people far beyond what the tests actually measure. It should be obvious stuff, really, in an ideal rational world; but as we humans are it has always been, and still is, tempting both to take shortcuts in trying to understand the world, and to seek out theories that assure us that we are superior to someone else in some way.

Gould may slip from pure scientific reporting into advocacy in places, but I think that's entirely appropriate; this isn't a peer-reviewed scientific paper, and what he is advocating for is rationality …

Review of 'The mismeasure of man' on 'Goodreads'

I started reading this book based a friend's recommendation after a discussion about science and politics. Going into it, I understood it to be two things:

  • An argument against the use of science to "prove" preconceived notions, in particular about the supposedly innate cognitive abilities of different races

  • A larger look at how it's possible to "fight science with science" (my phrase)



Given the binary option of saying whether I think Gould is successful in achieving his stated goals, I'd have to say yes. I think that, overall, he compellingly argues that some scientists are disingenuous, or even at times outright deceptive, and use scientific knowledge and techniques to draw unwarranted conclusions that bolster their biases and prejudices. He also shows how a scientist who relies on "good" methodology to gather "objective" data can still suffer bias, but that such data can, at least, be re-examined later. ("Objectivity must be …

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Subjects

  • Intelligence tests -- History
  • Ability -- Testing -- History
  • Personality tests -- History
  • Craniometry -- History