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Strong evaluations, by contrast, provide reasons for accepting a hypothesis as (approximately) true or confirmed.
They provide reasons for accepting a hypothesis as promising and worthy of further attention.
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Accepting an hypothesis as the best answer to the question that was originally asked is based on the preponderance and strength of the evidence.
Whether to accept a hypothesis is a decision problem, with acceptance and rejection as acts.
One such question is when to accept a hypothesis.
Savage, science does not produce knowledge, but rather recommendations for actions: to accept a hypothesis is always a decision to act as if that hypothesis were true.
The symmetry-based justification for analogical reasoning outlined in §4.3 gives us what amounts to a modal version of Reflection: if, so far as present opinion is concerned, I might come to accept a hypothesis, then I should regard that hypothesis as a serious (prima facie) possibility.
He could never fully endorse Copernicus' new heliocentric astronomy because he was unable to accept an hypothesis as a scientific argument (see § 2.4 below).
The argument has a precise point in the case of tests or experiments with known error probability (the probability of rejecting a true hypothesis or of accepting a false hypothesis) but it applies quite generally: Tests of hypotheses about drug toxicity may and should have less chance of going wrong than those about the quality of a "lot of machine-stamped belt buckles".
Yaacov Trope and Akiva Liberman's refinement of this theory assumes that people compare the two different kinds of error: accepting a false hypothesis or rejecting a true hypothesis.
Introducing the distinction between the error of rejecting a true hypothesis (type I error) and accepting a false hypothesis (type II error), they argued that it depends on the consequences of the error to decide whether it is more important to avoid rejecting a true hypothesis or accepting a false one.
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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