
Bridging physics and statistics with a century-old model
In a new report from the Oskar Klein Centre at Fysikum, Stockholm University, researchers Marcus Högås and Edvard Mörtsell show how classic Ising formulas can replace brute-force statistics when dealing with a very common problem: binary (“yes/no”) uncertainties in data. They package the result as two practical “recipes” that any scientist can plug into their existing analysis.










