I always understood bias to mean systematic deviations from the correct response (as in the bias-variance decomposition [1], e.g. a bias to be more overconfident, or the bias of being anchored to arbitrary numbers). I read your and Evans’ interpretation of it more like bias meaning incorrect in some areas. As Type 2 processing seems to be very flexible and unconstrained, I thought that it might not necessarily be biased but simply sufficiently unconstrained and high variance to cause plenty of errors in many domains.
I always understood bias to mean systematic deviations from the correct response (as in the bias-variance decomposition [1], e.g. a bias to be more overconfident, or the bias of being anchored to arbitrary numbers). I read your and Evans’ interpretation of it more like bias meaning incorrect in some areas. As Type 2 processing seems to be very flexible and unconstrained, I thought that it might not necessarily be biased but simply sufficiently unconstrained and high variance to cause plenty of errors in many domains.
[1] https://miro.medium.com/max/2567/1*CgIdnlB6JK8orFKPXpc7Rg.png
PS: Thanks for your writing, I really enjoy it a lot.