Predictions help validate a model, but correct predictions do not prove causation, and Jiang says fame has reduced his objectivity because his statements can affect events.
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Causation
Predictions help validate a model, but correct predictions do not prove causation, and Jiang says fame has reduced his objectivity because his statements can affect events.
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Key Notes
Jiang warns that observing the predicted escalation would not prove that the IRGC killed Raisi; the indicators would fit the hypothesis but would not establish causation.
Timestamped Evidence
"So, we just live in the world imagined by occultists. Who they are, what they want, how they work is something that we'll discuss..."
"How do you differentiate between causation and correlation? Okay. This is a great question. And it's something that I think a lot about. So,..."
"And also, by the way. Just because these things might happen. Does not mean that. Raisi was killed by the Revolutionary Guard Corp. Okay?..."
"...an impossible thing. So, I appreciate this question. Yes. Correlation and causation are two different things altogether. It's possible that we'll never really understand..."
"...for you guys to remember, is that correlation does not equal causation."
"...it's really important to understand that correlation does not necessarily mean causation okay so that that's a caveat no matter how well we predict..."
"...But the question then is, is this correlation or is this causation? Okay? Do you guys understand? Right? Because scientists will... Well, scholars will..."
"Okay? That's a causation. I... But some other scholars argue it is correlation, and the reason why is that Mayans are really famous for..."
"...he didn't know why the correlation existed. He couldn't solve the causation problem, okay? There's just no way that God would spend his time......"
"...At his time, he was mainly known for figuring out the causation process. The causation of the problem in space, okay? And what... And..."
Relevant Lectures And Readings
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