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It's an error possibility you ignore.
In our scheme, the UBD is first used to find which parts of the received packet have high error possibility in decoding.
Therefore, relative to what we mean by 'know' when we are confronted with a salient error possibility such as being a BIV, we know neither that we have hands nor that we are not BIVs.
So, when we are thinking about or discussing the BIV argument and are thus confronted with a salient error possibility, we need not adopt a high-standards meaning of 'know'know
However, in high standard contexts (when an error possibility such as being a BIV is salient), the first premise and the conclusion of the BIV argument are both true.
Bearing in mind that BIVs don't have hands, you now think that, for you to know that you have hands, you must be able to eliminate the error possibility of being a BIV.
Similar(52)
"The summary lines don't reflect a lot of the doubts and uncertainties and error possibilities in the report itself".
This does not mean that the method of randomized controlled experiment is free from error possibilities.
They assert that what one means by 'know' is determined, in a way that's very difficult to resist, by the salience or non-salience of error possibilities.
The basic concept of this method is "to evaluate the human error possibilities related to the MCR(Main Control Room) equipment".
An alternative semantics of the word 'know' will de-emphasize the importance of the salience or non-salience of error possibilities, and ascribe a much higher degree of semantic independence to the subjects who use the word 'know'know
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com