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It is not the case that If auxiliary assumptions absorb evidential pressure, a hypothesis may pass severity thresholds without genuine corroboration of the target claim.
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Reasons For
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Reason for
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1.
All empirical testing requires auxiliary assumptions; rejecting results whenever auxiliaries are involved would make science impossible.
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2.
Well-justified auxiliary assumptions (independently confirmed) legitimately shield core hypotheses without undermining evidential support.
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3.
Severity can be preserved if we test auxiliary assumptions independently and specify them before data collection, not post-hoc.
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Reasons Against
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Reason against
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1.
Auxiliary assumptions can be modified post-hoc to fit data, allowing unfalsifiable theories to appear empirically successful.
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2.
When auxiliary assumptions vary widely, we cannot distinguish whether evidence supports the core hypothesis or only specific auxiliary assumptions.
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3.
Severity requires that a hypothesis risked failing a test; auxiliary assumptions that absorb counterevidence reduce this genuine risk.
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