Marketers analyze large amounts of data to find subtle correlations between consumer preferences and attributes. For example, they may find that certain brands of salsa are preferred by "cat people" versus "dog people." However, these correlations do not necessarily imply causation. Our brains evolved to quickly assume causation as an efficiency, but this can lead to misunderstandings and unnecessary worries in modern life. With awareness, people can reprogram their thinking to avoid wrongly inferring meaning from random events.
19. Instead of our ancient ancestors
having to do a regression analysis
every time they saw a tiger, or an
apple tree, they just used the cause
effect generator in their brains to
assume what they saw MEANT
something.
20. And the more "good" or the more
"bad" that something was, the
stronger the cause-effect linkage was.