Why is it productive to aggregate models?

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Multiple computers and multiple programming languages must be used to create the different models.

Aggregation overcomes any potential social or cultural bias in training data.

No one research is able to produce a model that is accurate in all situations; models from multiple researchers must be used.

Different models tend to overestimate and underestimate their predictions, so the differences frequently cancel out.