I- I don’t understand what you’re saying (⊙…⊙ )
Entropy is basically a natural phenomenon that all systems eventually go to, giving themselves to chaos and disorder. Closed systems are what we call things that are 'not alive' (like brick wall) if no one is there to fix the wall, it will decay and break (so, it will give itself to entropy). Open systems are things that are alive (but 'alive' has various meanings, so not just animals or humans are open systems, companies, social circles and even relationships can be considered open systems), and the open systems are less prone to give themselves to entropy (death) because they receive feedback (hunger, fever, cold) and retrofeeds themselves (eat, medicine, fire). So fear in the case of this story is simply stupid because it is a "feedback" that there is something wrong in the system, but 'distracting' entropy by not fearing it? It's just stupid.
Gabby my girl that was a great explanation. I actually didn’t know entropy was applied outside of chemistry. Thanks for teaching me something new
Ooooohhh, now I kinda get it, thanks for explaining! :>
Oops lol it was Honeet. Sorry! Honeet ty for the explanation
Where was this explanation when I was in was in high school studying thermo dynamics.
So in some she need ms to pay attention each time she feel fear to correct her situation, not trying to brush it as nothing happened… thx
This was so clear thanks for the explanation
That's what i also thought! However, i'm still pleased it was mentioned as part of Lovecraft's philosophy about world order and chaos. Perhaps the silly as heck 'distraction' idea of the author is better worded in the original Korean language unlike the translation(it may be another word with completely different meaning). No matter how ridiculous, it could at least be slightly passable for the sake of fiction. Then again i could be completely wrong since i don't know Korean, but one can hope lol
So funny that I learned about Entropy in System's Analysis, I got so confused about the half assed explanation about it that I totally forgot that the author is giving some wild reason why the ML is a strong being. I was like "Yeah, this is applicable for closed systems where feedback and retroallimentation doesn't happen, so why....oh"