Even if algorithms systematically select for hostile content, direct experimental tests of removing algorithmic ranking find no measurable effect on affective polarization, meaning the content-selection mechanism does not produce the predicted outcome.

[DEFENSE-REBUT → 6amhp6] The Guess et al. experiment switching users to chronological feeds substantially changed content exposure patterns but did not detectably change affective polarization, directly testing whether algorithmic content selection drives attitudes. Experimentally reducing exposure to like-minded sources on Facebook did not reduce affective polarization, meaning even when the algorithm's hypothesized echo-chamber mechanism is disrupted, attitudes do not change. Therefore, Even if algorithms systematically select for hostile content, direct experimental tests of removing algorithmic ranking find no measurable effect on affective polarization, meaning the content-selection mechanism does not produce the predicted outcome. (Warrant: When direct experimental disruption of the hypothesized algorithmic content-selection mechanism fails to produce measurable attitude change, the mechanism's theoretical plausibility does not establish empirical significance.)

• The Guess et al. experiment switching users to chronological feeds substantially changed content exposure patterns but did not detectably change affective polarization, directly testing whether algorithmic content selection drives attitudes.
• Experimentally reducing exposure to like-minded sources on Facebook did not reduce affective polarization, meaning even when the algorithm's hypothesized echo-chamber mechanism is disrupted, attitudes do not change.

These are challenges this argument’s reasoning pattern must still withstand. Answering them on Isonomia strengthens the argument.

• Is the absence of positive evidence strong enough to justify concluding ¬A, or only to justify withholding belief in A?Open
• Is the absence of evidence due to absence of investigation rather than to A's being false?Open
• Could disconfirming or null findings have been suppressed, unpublished, or systematically under-reported (file-drawer / publication bias)?Open
• Has the investigative regime actually been adequate (well-funded, well-powered, well-designed) to detect E if A were true?Open
• Could A be true but produce only a weak signal that escapes detection at the prevailing statistical thresholds?Open

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