So, for argument’s sake, let’s assume that you could take in all the information out there on your subject, you could turn and process it into meaningful, bias-lacking, information, and you had super speed when you did it. There is still one really huge problem – our brains do not have the space to hold all the information, all our symbolism, all our stories, and all of our past choices. Our brains know that there is limited space in there, and that, ultimately, it has to let some things go in order to keep the important information there.
Am I saying this is why we constantly lose our keys? No, but if you have a very mentally demanding job, that could play a part. If the information is small, and it clears up space for what you are working on it that moment, your brain will kick it to the curb – or at least store it in that subconscious so when you go looking for them, it drives you crazy because you know you know where you put them, but you just can’t pull that memory.
Oftentimes, a way we pull in more information when our brains are bulging is by generalizing the facts, identifying patterns within the data so we don’t have to remember every word, and by trying to compartmentalize everything in there. However, if you do that, aren’t you basically defeating the purpose of pulling all that information in the first place?
Now you’ve dumbed it down without knowing if you’ll be able to retrieve it when you need to. While it seems we made computers in our image (minus the emotional stuff), they aren’t super-bots either. They only have a certain amount of storage space, and sometimes, it’ll start deleting if you don’t keep up with it.Â
Now, because both cognitive bias and logical fallacies can come into play in mental models, let’s clear up what the two are and how they are different.
