Probably you have never seen Bayesian modeling in action. It doesn't care what data you throw at it, it will establish models out of it. The theory IS neutral.

I highly doubt they would intentionally make their models more inaccurate to reflect their own biases. Machine learning algorithms are pretty unbiased as far as weighing the correlation of specific features goes.