My spread sheet paricel collider

I wanted to count up Avagadro from1 toi a humoungous number, I took 1.5 and counted in powere. I am conting rollove error, the number of update events in the three channel packet.

I match tht ingainst Phi, counter it in Power, but kep the two series alligned so both AVagradros aligned.

I found the spot where the alignment suddenly dropped, they becamse very close.  The was the point of maximum multiplicity of my error terms, the point where Avagadro and Plank had the best batch and it looked like the next energy match was way beyond my spread sheet precision.

I was simulation the whole number count and backing out the error band in aggregate. Now I can repeat the process and count the error band in quant which will converge due to the implied disequalibrium of prime number, actually.  This is all about how to count stuff, all of physics is that.  Poisson was a lot smarter than he realized, he gave us a method to match combinations to smooth curves.  Increase the possible combinatorials and we can see the spread, and that spread is the probability leaking out either side of the disequilibrium.

Steve Hawkins, dig him up and give him another Nobel.  Quantization takes flow, it is an adaptive process maintaining a disequilibrium.  Big big key. And at disequilibrium the system is facing unmeasured vacuum units, always. Key in Markov, the integer error update machine for 3D. Dig him up. Endless list of great mathematicians, all about how to count by selecting the optimum prime set to maintain the disequilibrium.

At the end of the day we are maintaning prime set separation by quantizing away the probability of the leakage,  And in the error creation we can see the collapsing and building queue congestion. When you jump a level in the Markov I think you are selecting the next largest prime and dumping the smallest. That fixes the count, N, to within disequilibrium, and the set manager has to adapt, it has to get entangled with the N issue, keep Avagadro and Plank matched.

I was working the pandemic problem, how to maintain neighborhood size to mostly eliminate neighborhood to neighbor hood spread, combining that model with the hospital channel rate, value chain what sandbox solves. The neighborhood had to be gaussian arrivals, independent events in order to stabilize the hospital queue.  It is that disequilibrium error condition for a queue of 0 or 1 update that enforces roundness.  That left the system to remove skew; we are matciing probability moments, it all fits.

Then I went back and said, this is quantiztion, and looked at quarks again.   I knew that set separation then required a disequilibrium, and noted the discussion on how unusual the spin calculation was for proton sdpin, and it all fell inte place. This is a Poisson problem of count a very small N.. You could see it on the chart.

Mass mostly comes from spin diseqilibrium, it is proportional the the number of rollovers ion the spin error update. Spin is counting the sets that come in pairs. At some disequilibriums we get error rollovers on charge, emitted light. That is why light has momentum, it is congestion in the error queue, just like spin. At low disequilibrium, all we see is spin mass. Magnetism never collapses the error queue and maintains N equilibrium.

Tells us why all the new central banking solutions are three axis, we always align to three axis, we have no choice. I was messing around with Klings three axis model, wondering what the Markov looked like, and discovered that overlap of the Markov points was a disruption,  the belief groups would not separate.  The lower Markov tree is where the two color S/L sits, and it is always automated in the sense that the third account is automated. Once we introduce profit or siegniorage, we have to jump the tree, but our N problem is very small and out computers can do it in run time. However, the agents must maintain the third account hedge.

What happens when the agent maintains the third account. She notes which producers ae making bucks, or notes how much Fed tax we pay.  What are they doing? Maintaining N, the total set of transactions, keep that aligned on a 3D axis. They can then walk around dense places. Magnetism, removing the skew.