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File: 1667682280108947.jpg (132 KB, 1000x871)
132 KB JPG
Why does two negatives make a positive?
>>
Let's say there was a fight, someone negates your hit, and you click a button which negates the negation that he made. That's why two negatives make a positive.
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>>17079652
so if you steal twice you're basically giving away money for free
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>>17079616
because miggers say they do.
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File: 1786298980261076.png (603 KB, 850x707)
603 KB PNG
>>17079676
Oy vey
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>>17079616
If you steal my thing and I steal it back everything is back to where it was
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>>17079654
Jensen Huang from Nvidia something similar.
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File: 342198349023817.gif (20 KB, 235x248)
20 KB GIF
>>17079616
Because if you rotate one of the negatives 90 degrees and and overlap them they become a positive.
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>>17079688
Also use the distributive property and you’ll see why.
>>
>>17079616
180+180=360
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>>17079680
is voting not secret in zogmerica?
>>
-1 - 1 = -2

1-2 = - 1

0-1 = - 1

2-0-2 = 0

0=0

1-1=2

5-10=-5

= - 7

8+7-7=8

-7+8=1

0=0

0=2
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>>17079708
-180 - 180 = 0.
>>
>>17079713
If everyone “kept their vote secret” and didn’t tell anybody then how do they know who won?
You have to tell someone who you are voting for, otherwise they have to use psychic extraction which is too expensive.
>>
>>17079616

https://math.stackexchange.com/questions/208447/can-vectors-be-inverted

because your question implies you ask about 1-dimensional numbers. consider your number model- a value and a direction. for a 1-dimensional number, inversion is simple. problem is, what about a 2-dimensional vector where their dicrection is in perfectly opposite directions, wherever they point, they will be the same as negative/positive on a 1-dimensional axis. this is why the dot product was invented

https://en.wikipedia.org/wiki/Dot_product

where it approaches a minimum value, zero if the vector lengths are equal, and maximally negative if they point perfectly opposite, or maximally positive if they point perfectly the same direction, the two vectors used as inputs. computing the 1-dimensional dot product is taught to children as multiplication, same as how reducing all those equations by the order of operations is actually beta reduction

https://en.wikipedia.org/wiki/Reduction_strategy#Lambda_calculus
https://en.wikipedia.org/wiki/Lambda_calculus#Reduction

so, if you calculate the unit length of 2 vectors, and find that their dot product is 1, it means if you multiply them together, the resulting vector direction should be opposite, the same as your two negatives make a positive. it isn't that they are negative, it is just that they are the same.

the problem arises when 2 positives do not make a negative... unless under some operations. then, you have to figure out the situation when 2 vectors have directions which are not perfectly inversed, like pos/neg, but off at a skewed angle. sort of positive, as a gradient.

https://en.wikipedia.org/wiki/Gradient

because here's the rub- you don't actually have to balance equations. graphing the imbalance allows for gradients... but that is only gradating the value, not the direction. gradating the negativity or positivity of a number occurs too.



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