Bigjohn what would you say has been helpful in reducing the extreme spread of your ammo for 1000BR? In other words, reducing verticle at 1000?
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Errors almost never cancel eachother. An error may reduce another error, and may even push past the first error in the opposite direction, if the second error is larger than the first, but to precisely cancel is very unlikely.
OK, there is mostly net cancellation and not perfect cancellation.
But I was correcting someone that was wrong way backwards in as few syllables as possible.
I gave the link for the math of how WE HAVE NET CANCELLATION is adding errors.
The difference between knowing there is NET cancellation and thinking errors just add can be off by a factor of 1000 in amplifier design.
When I shoot practical rifle matches where the targets are 2-4 MOA in size, and only go out to 550 yards, it just isn't worth spending twice the time reloading to get ammo that will shoot .3 MOA, because it isn't as important as spending that time practicing my position shooting with an ammo/rifle combo that will consistently shoot 1 MOA.
Bigjohn what would you say has been helpful in reducing the extreme spread of your ammo for 1000BR? In other words, reducing verticle at 1000?
You shoot at night?
You are working in a realm that my bit be practical at times. I can show you real work examples where the practice proves that you are wrong. This is not the place to do so, however, so I won't.
Never the less, even if I were to concede your point, by minimizing each error in ammo making, you minimize the chances of error compounding, or, maximize the chances of errors canceling each other.
Clark, you can't have it both ways. You argue that minimizing your errors won't help. You maintain that errors don't build upon each other. You are full of shit. If what you claim is true, then we should just slap our ammo together, and forget about truing actions, and our rifles should shoot one hole groups at 1000 yards, because the errors cancel each other out.
THAT IS BULLSHIT!!!!
Errors don't sum linearly.
They sum in a way better estimated with Monte Carlo method.
We have known about this for a while, 237 years.
Early Recorded History of Monte Carlo
1777 Compte de Buffon: If a needle of length L is thrown at random onto a plane ruled with straight lines a distance d(d > L) apart, then the probability P of the needle intersecting one of those lines is P =2Lπd.
Laplace: This could be used to compute π (inefficiently).
1930s First significant scientific application of MC: Enrico Fermi used it for neutron transport in fissile material.
Segre: “Fermi took great delight in astonishing his Roman colleagues with his ”too-good-to-believe” predictions of experimental results.”
1940s Monte Carlo named by Nicholas Metropolis and Stanislaw Ulam
1953 Algorithm for sampling any probability density Metropolis, Rosenbluth, Rosenbluth, Teller and Teller (generalized by Hastings in 1970)
1962,1974 First QMC calculations, Kalos, and, Kalos, Levesque, Verlet.
1965 First VMC calculations (of liquid He), Bill McMillan.