this is my question with a lot of this "science" - how are we ensuring that we're not incorporating researcher biases when setting up and training a new model?

this is my question with a lot of this "science" - how are we ensuring that we're not incorporating researcher biases when setting up and training a new model? To take a reasonably provocative example: if a new climate model predicted extremely low rates of change, would it be tuned so it showed change in the accepted range? If so, then how useful is this model to science?