Raw LLM Responses

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Hmmmmm, as the wife of someone getting his doctorate in data science (statistics +) and I hear the explanations of his doctoral studies, research, projects and dissertatio, my understanding is that there is a "maybe" category, making it actually more complicated. That 4% is neither no, nor yes. Saying that the machine only correctly identifying negative results 95% of the time means that the machine must be automatically saying "if not 'no' then yes", really creates a huge problem and makes that study invalid. Also, the reason for the "maybe" changes the chance of it swinging one way or the other, so this is far more nuanced than this videos makes it seem. A test that doesn't account for a third option (ie undeterminable) is wildly invalid and over-simplified to the point that there should be a strong push to think about if it shouldn't be considered at all. But I think the video is right that most people and doctors great it wrong. Because they are doctors, not math geeks.
youtube 2026-04-11T16:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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