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COUNTER-EXAMPLE: Inaccurate measurements allow you to find an absolutely accurate value of the measured value-with an increasing number of inaccurate measurements.
Details: The average sum of all inaccurate measurements with errors – tends to an absolutely accurate measurement (with an increasing number of measurements) – and this allows you to find an absolutely accurate value of the measured value.
ANOTHER counter-example: inaccurate indirect data allows you to accurately determine the truth. This method of searching for truth was used by Sherlock Holmes.
THE ESSENCE of the examples and the method is that errors are mutually eliminated – in inaccurate measurements and in indirect data, in a wide class of similar problems.
By definition, relative truth depends on the reference frame. This means that there is at least one reference frame where the relative truth is not true (false). Thus, summing up an infinite set of truths of a given frame of reference (relative truths), we will not get an absolute truth that is true in all systems. Summing up all relative truths regardless of the reference frame, we must also sum up their falsity in other reference frames, which will lead to an infinite number of true and an infinite number of false truths, which will inevitably lead to a total of zero information.