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Forgot source: https://it.pinterest.com/pin/5418462043370064/
To know what a horse is, you must first know what a horse isn’t, as the horse knows what it is, since it knows what it isn’t, thus if by extension you also know what a horse is, you’d also know what it isn’t, however this is of course impossible, since to know what a horse isn’t you’d need to know what it is first, which means you’d need to know what it isn’t in the first place, which means you’d need to know what it is, which means you’d need to know what it isn’t which means you’d need to know what it is, which means you’d need to know what it isn’t which means you’d need to know what it is, which means you’d need to know what it isn’t which means you’d need to know what it is, which means you’d need to know what it isn’t which means you’d need to know what it is, which means you’d need to know what it isn’t which means you’d need to know what it is, which means you’d need to know what it isn’t which means you’d need to know what it is, which means you’d need to know what it isn’t…
Horse
horse
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praise be Marianne and her horse whispering ways
h.hork

copypasta, idk what i'm doing
The horse knows where it is at all times. It knows this because it knows where it isn’t. By subtracting where it is from where it isn’t, or where it isn’t from where it is (whichever is greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective commands to drive the horse from a position where it is to a position where it isn’t, and arriving at a position where it wasn’t, it now is. Consequently, the position where it is, is now the position that it wasn’t, and it follows that the position that it was, is now the position that it isn’t.
In the event that the position that it is in is not the position that it wasn’t, the system has acquired a variation, the variation being the difference between where the horse is, and where it wasn’t. If variation is considered to be a significant factor, it too may be corrected by the GEA. However, the horse must also know where it was.
The horse guidance computer scenario works as follows. Because a variation has modified some of the information the horse has obtained, it is not sure just where it is. However, it is sure where it isn’t, within reason, and it knows where it was. It now subtracts where it should be from where it wasn’t, or vice-versa, and by differentiating this from the algebraic sum of where it shouldn’t be, and where it was, it is able to obtain the deviation and its variation, which is called error.
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