Insensitive measurement bias

Insensitive measurement bias occurs when the tools used to measure an outcome are not sensitive enough to detect true differences. For example, gravitational waves have been predicted for years, but it was not until very recently that we were able to build the remarkable machines that could actually detect them. It would have been a mistake to conclude that gravitational waves did not exist based on our inability to detect them with old tools

In medicine, I think we are actually much more likely to see the opposite: where overly sensitive tools identify statistical differences that are actually meaningless to our patients.

This post is part of a series of posts on bias in medical research. You can find the whole bias catalogue here.

You can find more evidence based medicine resources here.

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