It’s not about lacking the hardware for thinking through complex things, it’s about thinking habits (non methodical, not validating conclusions, operating at a pure language level rather than at a very concrete and precise meaning level - which is why you see people dispute scientific conclusions based on their own definitions of words) and being emotional about it without the needed introspection to spot that and stop doing it (becoming wedded to the conclusions one reaches and take it really bad when they’re disproven, overestimating one’s knowledge and being unable to reevaluate that estimation because it feels unpleasant to admit one might not know something, wanting to feel one is winning the argument hence digging into ever more illogical arguments and basically ignoring the full picture when trying to “win by attacking the words of the explanation”).
In the old days, people would yield to authoritativeness on domains outside their expertise, which is something that was abused (for example, look at how experts were paid by tobbaco companies to say that their products were no dangerous for Human Health or if you want a more recent example, look at the field of Economics) so now we have the problem that a lot of people think they’re as good as any expert even while not understanding even the most basic of basics of that expert domain (a quite common problem I see is people simply not knowing basic Statistics and assigning meaning and even motive to coincidences of random events or misreading as causation something that can just as easilly be correlation or even reverse causation).
Most people don’t have training in Analytics or Science, so it makes sense that they just apply their day-to-day way of thinking (which has no method and using “common sense”) to any and all subjects including domains which are highly structured and can’t just be understood on face value or which are heavilly probabilistic and you can’t just apply the mental shortcut from day to day life (of the “if I thrown a stone it will fall” kind) to draw conclusions.
It’s not about lacking the hardware for thinking through complex things, it’s about thinking habits (non methodical, not validating conclusions, operating at a pure language level rather than at a very concrete and precise meaning level - which is why you see people dispute scientific conclusions based on their own definitions of words) and being emotional about it without the needed introspection to spot that and stop doing it (becoming wedded to the conclusions one reaches and take it really bad when they’re disproven, overestimating one’s knowledge and being unable to reevaluate that estimation because it feels unpleasant to admit one might not know something, wanting to feel one is winning the argument hence digging into ever more illogical arguments and basically ignoring the full picture when trying to “win by attacking the words of the explanation”).
In the old days, people would yield to authoritativeness on domains outside their expertise, which is something that was abused (for example, look at how experts were paid by tobbaco companies to say that their products were no dangerous for Human Health or if you want a more recent example, look at the field of Economics) so now we have the problem that a lot of people think they’re as good as any expert even while not understanding even the most basic of basics of that expert domain (a quite common problem I see is people simply not knowing basic Statistics and assigning meaning and even motive to coincidences of random events or misreading as causation something that can just as easilly be correlation or even reverse causation).
Most people don’t have training in Analytics or Science, so it makes sense that they just apply their day-to-day way of thinking (which has no method and using “common sense”) to any and all subjects including domains which are highly structured and can’t just be understood on face value or which are heavilly probabilistic and you can’t just apply the mental shortcut from day to day life (of the “if I thrown a stone it will fall” kind) to draw conclusions.