Predictable Identities is a series that I’m writing on Ribbonfarm; you can also track its chronological progress here with short summaries of each post. The 17th post in the series is below, summarizing the story so far and providing links to all the preceding posts in a narrative, rather than chronological order.
Predictable Identities is 16 posts in, which is going much better than I would’ve predicted. It’s time to review what we covered so far: the principles of predictive processing and how we apply them to other people.
Our brains constantly predict sensory inputs using a hierarchy of models. Learning new and better models improves our predictive ability in the long term but can be so painful in the short term that we will fight against updating, and often fight the people who force us to update. It’s important to take all models with a grain of salt and resist the lure of all-explaining ideologies.
We predict the world to exploit and act on it, and the same applies to other people. We need to know how to get people to do nice things for us, using stereotypes for strangers we don’t know and more detailed mind-simulations for people we do. We don’t need detailed models for people unlikely to be nice no matter what, and we’re creeped out by people who don’t fit our models at all like those who blow their non-conformity budget. We encourage those around us to conform to our narratives and predictions of them, which means that changing one’s opinions and behavior takes great effort in the face of the expectations of your social surroundings.
Finally, our predictions of ourselves interplay in complex ways with how others see us, since our minds are neither transparent to us nor opaque to those around us. For example, to be treated nicely we must honestly believe that we are nice, even if that is self-deceiving. Our models, predictions, and beliefs about our selves form our identities. This will be the topic for the second half of this blogchain.
Thanks for joining me on this journey, I predict exciting things ahead.