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James Horton, PhD.'s avatar

Another point that I think is pertinent--sometimes numbers can reflect two things.

My go-to example for this is research on procrastination. About 95% of research on procrastination uses survey measures to assess procrastination. Basically, you ask a person ten to twenty questions about procrastination in their life and assign them a procrastination score.

This measure correlates pretty strong with *actually* procrastinating, when you measure it in terms of hard behavioral metrics (like when someone turns in a school report). So, researchers assume it's safe to use as a proxy. And, when they use it, they find that procrastination correlates very strongly with things like anxiety.

So, the consensus in the field is that procrastination and anxiety are related, and people examine that relationship in all sorts of papers. The problem is that, once you move from measuring procrastination using a survey to measuring procrastination using a hard measure, the relationship with anxiety vanishes, or grows so small that it's basically inconsequential.

Why? Well, for my money, the survey measures reflect two things. 1) A person's honest evaluation of their actual behavior, and 2) How they feel about it.

And anxious people are more likely to judge themselves harshly. It adds an element to those survey measures that corrupts them.

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DC's avatar

Overall, a very insightful look at our sometimes blind trust in metrics. This one quote stood out to me: "the thought experiment demonstrates an interesting property of measuring humans—they can respond to being measured, and as soon as you use a measurement as an incentive, the measurement becomes a weaker indicator of the thing your actually interested in."

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