Using measurement to validate preconceptions inverts its purpose
Measurement is often deployed to give authority to ideas already held. We quantify intelligence, economic performance, or student outcomes, then treat the numbers as if they've replaced the vague original concept with mathematical precision. This is backwards.
A measurement is only trustworthy when it has a track record. Instruments were improved. Models of confounding factors were built. Predictions were tested against independent data. The Struve geodetic arc took 40 years and 258 triangles to produce a single reliable estimate of Earth's shape. That trustworthiness came from the accumulated testing, not from the act of assigning a number.
When we skip that process and use measurement primarily to confirm what we already believe, we borrow the authority of hard-won science while bypassing the mechanism that earns it. The number becomes rhetorical, not epistemic.
The real function of measurement is to reveal where your ideas are wrong. A good measurement program doesn't settle questions. It generates new, more precise questions.
Attaching numbers to a concept doesn't make it well-measured. Measurement earns its credibility through repeated testing, model refinement, and explaining discrepancies, not through the act of quantification itself.
Source claim: Using measurement to confer authority on preexisting beliefs mistakes it for a shortcut to truth, when its actual function is to iteratively reveal the shortcomings of current ideas.