Goloboff's method

Goloboff's method is a way scientists analyze genetic or biological data to determine the most accurate evolutionary tree—showing how species are related. It uses mathematical algorithms to compare different possible trees and scores them based on how well they fit the observed data, considering how simple or complex each tree is. The method aims to find the tree that offers the best explanation of the data with the least complexity, helping scientists understand evolutionary relationships more reliably. Essentially, it balances accuracy with simplicity to produce the most plausible family tree of life.