numbers are noisy. Every measurement and every sample comes with a degree of random statistical variation, of measurement and sampling error. This is not just hard for a human to fake – it’s also hard to distinguish from the signal for which scientists are looking. The noisiness of numbers constantly throws up random outliers and exceptions, resulting in patterns that might in fact be meaningless and misleading.
