Appeal to authority here. If you know statistics you know the truth is basically impossible to model. The great lie of statistics is you are measuring associations that are true in your dataset and you are making assumptions that this dataset will be more or less representative of the population and perhaps sampling 10 of 1000 will be sufficient depth to appreciate this true result.

Sometimes this works out alright. But sometimes not. Too many factors in the universe to model. Never enough power to look at all them even if you knew what they all were. It works well when a few dominant factors are present but when its a million latent factors with technically every pairwise interacting relationship present in some degree, good luck.