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Let us say that, in general, failure (and disconfirmation) are more informative than success and confirmation, which is why I claim that negative knowledge is just more robust.

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Let us say that, in general, failure (and disconfirmation) are more informative than success and confirmation, which is why I claim that negative knowledge is just “more robust.

In order to determine whether we can know anything with certainty, we first have to doubt everything we know

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We can never be right, we can only prove we're wrong.

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For avoiding nonsense in general, we might accumulate millions of censors. For all we know, this "negative meta-knowledge" — about patterns of thought and inference that have been found defective or harmful — may be a large portion of all we know.

So knowledge grows by subtraction much more than by addition — given that what we know today might turn out to be wrong but what we know to be wrong cannot turn out to be right, at least not easily.

So knowledge grows by subtraction much more than by addition—given that what we know today might turn out to be wrong but what we know to be wrong cannot turn out to be right, at least not easily.

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The fact must be expressed as data, but there is a problem in that the correct data is difficult to catch. So that I always say "When you see the data, doubt it!" "When you see the measurement instrument, doubt it! ... For example, if the methods such as sampling, measurement, testing and chemical analysis methods were incorrect, data ... to measure true characteristics and in an unavoidable case, using statistical sensory test and express them as data.

We know accurately only when we know little; doubt grows with knowledge.

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