Comment by ajkjk
2 days ago
Well, I don't agree. Maybe you are talking about how people's intuition initially breaks on the double-split experiment, or spinors, or whatever else? But I'm not talking about broken macroscopic intuition failing on quantum systems. Of course that doesn't work. There is a separate "quantum" intuition that you get over time which lets you make true inferences. Surely you have a bunch of it if you've got a PhD in this stuff.
Things like: if you think of particles as blobs of mass and charge, you get the wrong answers; if you think of them as interfering waves then you start to get right answers. If you think of them as interfering light waves, you get the right answer for a while until you hit a situation where spin=1 gives the wrong answer, or m≠0 means the transverse component is nonzero, so you fix your intuition on that and get better answers. If you think of particle-waves as discrete atomic objects you can't intuit how different particles can be created in scattering; if you think of them as a label given to a particular vector which can be decomposed as a sum of other vectors which interact differently with different fields then you can see how particle creation/annihilation works.
Etc. There certainly are models you can construct in your mind that make this stuff start to make sense. I don't have them all, but I'm working on it. Mindlessly doing math might work for homework problems but it's not enough for actually explaining anything; you need some mental picture of what's going on as well. But the math is always there to make your intuitions concrete and keep them grounded in reality.
Look, physics is about discoveries and explanations. If your model explains everything we have measured then great -- publish it and you will get proper recognition.
I do not know your theory so I cannot comment on it, but when I was in academia I received quite a lot of these theories and they were breaking down rather quickly.
Physicists are always interested in new things but what you present must make sense and - most importantly - explain things and agree with measurements. If suddenly you end up with incorrect values it means the model is wrong. It may be completely wrong or maybe it needs adjustments.
The best way to send your message to the world is to publish.