I’m not very familiar with his work, but when theory does not align with empirical data, does that not often indicate the theory should be revisited? I read yo

I’m not very familiar with his work, but when theory does not align with empirical data, does that not often indicate the theory should be revisited? I read your link and his ideas seem very interesting. But I would think the real test of his ideas will be if the “law” he has extrapolated from observing historic phenomena like the rate of human genome processing or growth of ISP cost performance can be generally and reliably applied to predict the growth rate of new technologies. If predictions made using the law of accelerating returns are unreliable, how useful is it?