4 Comments

I hadn't heard of Leonard Frey's idea before. This might be hinted at by VAERS narrative fields. I'll run a RegEx on it.

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I only took a quick glance searching for "patient works as" and half the results are medical professionals (1 dentist, 2 nurses, 1 physician). If I run a proper RegEx, I might get around 50 results or so, but we don't need those. Seeing that the report proportion of physicians is around 50% is a very strong indicator for medical professionals being severely overrepresented in the dataset.

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Oh wait it's even more:

patient works as a physician. She f

patient works as cardiologist) about

patient works as a registered nurse

patient works as an RN in (Place nam

patient works as a biologist at the

patient works as a dental hygienist.

patient works as a contractor and th

patient works as cleaner and reports

6/8 = 75%

Well 5 out of 8 is still 62.5% if we don't count the biologist.

But it is pretty common among medical professionals to mention this to other professionals. You'll rarely hear a physician say "The patient works in the advertisement industry". :D

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If I remove the "patient" or make it case insensitive I get a few more results, same proportions. 10+biologist+5

Roughly 2/3 whose profession gets mentioned are medical professionals.

patient works as a physician. She f

Patient works as an aid at hospital.

patient works as cardiologist) about

patient works as a registered nurse

patient works as an RN in (Place nam

Patient works as a pediatrician and

Patient works as a dental hygienist.

Patient works as a Pharmacist. Patie

patient works as a dental hygienist.

Patient works as a care-giver. Patie

patient works as a biologist at the

Patient works as a landscaper. Pt w

Patient works as a investigator and

patient works as a contractor and th

Patient works as a supervisor and an

Patient works as a janitor and was e

patient works as cleaner and reports

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