Note that these pages are a work in process and will be updated on an ad hoc basis.
Statistical models are different because they don't have to obey the laws of Maths. The classic example is when someone draws a straight line on a log plot and declares exponential growth. Since the exponential function goes all the way to infinity if the variable is finite then some Mathematical trick has to be invoked. That trick may then break some law of nature or be invalidated by Occam's razor.
Celestial mechanics, Exponential decay, Epidemiology, Exponential growth, Finance, Logistic, Normal distribution
| 2000 BC | Babylonians? | Compound Interest |
| 170 AD | Ptolemy | Geocentric model |
| 1514 AD | Copernicus | Heliocentric theory |
| 1609 AD | Kepler | Laws of planetary motion |
| 1684 AD | Newton | Theory of gravitation |
| 1798 AD | Malthus | Exponential population growth |
| 1823 AD | Gauss | Theory of errors |
| 1840 AD | Farr | Farr's Law |
| 1859 AD | Darwin | Debunking of Malthus |
| 1900 AD | Bachelier | Brownian Motion |
| 1910 AD | Lotka & Volterra | Lotka-Volterra predator-prey model |
| 1917 AD | Ross & Hudson | Compartmental models |
| 1927 AD | Kermack & McKendrick | Standard SIR model |
| 1945 AD | Manhattan Project | Trinity Test |
| 1963 AD | Mandlebrot | Cotton prices |
| 1973 AD | Black, Scholes & Merton | Black-Scholes |
| 1987 AD | Anderson & May | Anderson-May model for HIV |
| 2024 AD | Mason | Minimal SIR model |