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t = 0
Statistics
Particles0
Mean |r|0
RMS dist0
Theory RMS0
Diffusion D0
Mean X0
Mean Y0
Std Dev0
X-Position Distribution
The histogram approaches a Gaussian as N and t grow -- the Central Limit Theorem in action.
RMS vs sqrt(t)
Einstein (1905): <r²> = 4Dt. The RMS distance grows as the square root of time.
About
In 1827, Robert Brown observed pollen grains jittering in water. Einstein explained it in 1905: invisible molecules bombard the particle from all sides. Each step is random, yet at scale, beautiful order emerges -- Gaussian distributions, predictable diffusion rates, and the square-root law. Randomness, paradoxically, is one of the most orderly things in nature.