Well, I clearly remember reading the article, so there appears to be a bug in your mind-reading powers.
The point that is lost in your story is that prediction is all about buying time.uwot wrote: ↑Tue Aug 27, 2019 6:34 am Anyway, the example I use in the article is gravity. We don't know WHY there is a force of gravity, but that makes no difference to our ability to measure it. With enough measurements, we can sift the data, looking for patterns which the likes of Newton and Einstein can generalise into mathematical models. These are accurate enough that we can make predictions about future astronomical events, send rockets to the Moon and so on. That, if you like, is the Telos of science. So yeah, in a sense, if you can crunch the numbers, you understand what happens, but it doesn't mean you will understand why it happens.
The measurements you take now produce the results you would observe X seconds later, but the process works in reverse also.
If you make an observation now you can arrive at a set of measurements that would have been true X seconds ago.
Those measurements, that were true X seconds ago that result in the phenomenon you are observing presently become the colloquial/explanatory "why".
Which is pretty obvious to any physicist, actually. Because most of physics is about formalising intuition.
Like this chap who solved a 127 year old problem.
Your first instinct would be "but that's obvious!". Obviously it's obvious - the first requirement of good science is good observation.
The mystery was in the absence of a formal model identifying the key variables. The 'why?'