My girlfriend can be very ... concerned. We spent $1000 in vet bills before a real avian expert was like "Guys, he's fine. Look how happy he is. He just loves the attention."
Apparently one of his tests for vet interns is to tell them "This bird is sick. Figure it out". Then he gives them a perfectly healthy bird. Their bias always makes them find something. Caused by their tests half the time because they're stressing the bird.
Seems like the "bias" in that case is likely due to an authority figure intentionally misleading them in the context of a "test", where one naturally assumes they're not being deceived by the very premise of said test? If an actual bird owner came in as a client and said the same (or if the test explicitly told them to assume this is the situation), the interns might very well still realize the client is wrong.
I’m no vet but if you have to dig hard for signs of illness, the patient likely isn’t sick. Our bird had increased uric acid. Could be anything. It was a little high.
If he was actua sick we wouldn’t be guessing whether the number is high. It’s be 10x. Waaay out of bounds. A clear signal.
It’s like in product design. Your conversion rate inproved 0.05% after you ran an experiment for 2 days. Is that a signal or noise? Eh probably just noise. Observe longer.
The problem with comfortably saying the client is wrong is tht they’re the authority figure. They have years of data, you have 30 minutes with the patient.
And yes I have had vets casually chat with me for 2 hours when they did spot something suspicious in the bird’s behavior and wanted to observe longer to see if it’s a pattern.
While I do agree with a single point not being enough information, nobody is looking at body temperature alone when diagnosing a patient— unless they’re reaching internal temperatures of below 95° and above ~100.9 for hypothermia or hyperthermia respectfully. With each diagnosis there are /x/ number of signs and symptoms that go along with it so it is crucial that we gather as much information on all the VS we can, no matter how minuscule the data may seem.