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Investigators evaluated risk factor–based guidelines and risk model–based strategies for lung cancer screening in World Trade Center–exposed responders.
It’s probably not cool to admit to having a favourite fallacy, but mine is the McNamara fallacy. This is where we fall into the trap of measuring whatever can be easily measured, to disregard anything that can t easily be measured, and to presume that what can’t be measured easily isn’t important (https://en.wikipedia.org/wiki/McNamara fallacy). It comes to mind when reading a review of wearable technology in clinical practice for depressive disorder, which starts with an ominous vision of the future of the consultation. At the start of the consultation, a patient tells their psychiatrist that they’re feeling “much better,” have been “much more active and social,” and are “sleeping great.” The doctor then shows the patient data from their wearable device revealing that their sleep has actually been very disrupted and offers to talk more about how they can improve their sleep. The consultation becomes about the thing you can measure, not the things that you cannot.