I think he uses a time-weighted Bayesian meta-analysis method so the graph is the modelled posterior distribution. Obviously only as good as the model and data, which is questionable given previous predictions.
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Interesting. I didn't actually read the article tbh, just find the general responses to such predictions fascinating as well as the context in which they are presented
End of conversation
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