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.
>>17079652so if you steal twice you're basically giving away money for free
>>17079616because miggers say they do.
>>17079676Oy vey
>>17079616If you steal my thing and I steal it back everything is back to where it was
>>17079654Jensen Huang from Nvidia something similar.
>>17079616Because if you rotate one of the negatives 90 degrees and and overlap them they become a positive.
>>17079688Also use the distributive property and you’ll see why.
>>17079616180+180=360
>>17079680is voting not secret in zogmerica?
-1 - 1 = -21-2 = - 10-1 = - 12-0-2 = 00=01-1=25-10=-5= - 78+7-7=8-7+8=10=00=2
>>17079708-180 - 180 = 0.
>>17079713If 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.
>>17079616https://math.stackexchange.com/questions/208447/can-vectors-be-invertedbecause 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 inventedhttps://en.wikipedia.org/wiki/Dot_productwhere 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 reductionhttps://en.wikipedia.org/wiki/Reduction_strategy#Lambda_calculushttps://en.wikipedia.org/wiki/Lambda_calculus#Reductionso, 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/Gradientbecause 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.
>>17079616where I am going with this whole dot product thing>>17079875is that when you graph the output of the dot product, it creates a gradient where you can measure if 2 vectors are perpendicular or not, but also using the negative value of the output to indicate whether or not they are in the same direction. so when you graph truth table for 1-dimensional arithmetic using value-dicrection pairs, you getneg x neg = pos (inverse)neg x pos = neg (special left hand)pos x neg = neg (special right hand)pos x pos = pos (consistent)https://en.wikipedia.org/wiki/Left_and_right_(algebra)there is a difference between the special results. what ends up happening is that on a simple clickety clack grid system like a number line, coordinate graph, all that stuff, you end up having to account for the fact that positive/negative is only really in reference to some other datum. on your question, "negative" means any vector compared against the datum of zero-to-one value in some very specific direction.if you had a 3d scene, you would have to define what the positive direction is, usually implied by the origin point and whatever number of reference vectors you add to make 3d space, 4d space, whatever. this is where you get a situation like the quaternionshttps://en.wikipedia.org/wiki/Quaternionwhere then mathematicians need to figure out why it is that if they multiply quaternions AxB=C is not the same as BxA=D. that is only taking into account the values, not yet the directions/polarities. mathematics has to figure out the overall policy not just for 1d numbers like you ask, what about any N-dimensional number.https://en.wikipedia.org/wiki/Hypercomplex_numberthere is a pattern to it all, sort of a lookup table.https://en.wikipedia.org/wiki/Cayley%E2%80%93Dickson_constructionCayley did one where he made N-dimensional number systems, starting with 1, then 2, then up to 256 or whatever. each one gets more complex and the complexity pattern is predictable.
>>17079616your situation ends up like picrel. if you want to multiply 8-dimensional numbers, at least on a simple pair of value and pos/neg, picrel is your truth table. if you want to do the same on 1d numbers, use the one you were taught in school.notice how there is a "negative line" crossing the lookup table in picrel, labeled as negative E zero. notice when you do the left/right multiply thing, another trick up their sleeve they hid from you in school.E2xE5=E7E2xE5=-E7when the "pair" crosses that diagonal negative line, the output of the multiplcation inverts. in that system, pos/neg is a binary selection, not a gradient. you can get how complicated it might be for larger systems, but it is really just calculating the truth table pattern for N-dimension instead of solving math riddles and shit.
>>17079882>E2xE5=E7>E2xE5=-E7E5xE2=-E7fuckin goofed it. whatever. you get the point. they nerfed the concept about it all in school when they taught it to you.
>>17079708huh, I never thought of how this all applies to complex numbers
>>17079855-180 -180 = -360
>>17079713If you hate christian countries so much, go live in one of those mudslim shitholes.
>>17079676TDS
