#Bitcoin Engineers are like sue Chefs.

Physicist are like Chefs.

Some engineers are amazing and basically they reason and work like applied physicists. In my career as a physics professor I taught 100s of engineers and some of them could not move a x _iable across a = sign in an equation. They don't think like physicists.

Scale in_iance is used all the time to make predictions. In fact, it is one of the cases where we can make confident scientific predictions.

I never, never put a lot of emphasis on the R^2. Yeah, you can get good R^2 with shitty methods.

See S2F for example.

But the power law has NOTHING to do with a good R^2. I never claimed so.

It is obvious that it follows a scale in_iant behavior. It is obvious to the naked eyes. You can do back of the envelope calculations to show this. Any physicist can see this, bad engineers cannot.

2) Causal links. How do you explain that
Price=Addresses^1.77 and then Addresses=time^3.17 and when you multiply these too (because power multiply) you get 5.65 that is 1 % off from the real value of the power for Price 5.71?

PS
It is obvious the guy didn't read a line of the Power Law Theory. Again no proof of work, but he has to express his opinion. Just an opinion but leveraged by his supposed "professional" experience.