Guess et al. (2023) null findings on affective polarization do not rule out algorithmic effects below the study's detectable threshold or effects on non-volunteer subpopulations; absence-of-evidence arguments require specification of minimum detectable effect size.

[REBUT] Guess et al. (2023) recruited volunteers consenting to treatment assignment, introducing volunteer bias that may reduce or mask treatment effects relative to the full population. The study's statistical power was designed to detect effects substantially smaller than the framing's ≥10% bar, but null results do not establish that effects below the threshold do not exist. Absence-of-evidence arguments require specification of the minimum detectable effect size and acknowledgment that non-detection does not prove absence, particularly when volunteer bias may suppress effects. Therefore, Guess et al. (2023) null findings on affective polarization do not rule out algorithmic effects below the study's detectable threshold or effects on non-volunteer subpopulations; absence-of-evidence arguments require specification of minimum detectable effect size. (Warrant: Null results in volunteer samples do not establish that algorithmic effects are below the ≥10% threshold across the full population without explicit power analysis and bias adjustment.)

• The study's statistical power was designed to detect effects substantially smaller than the framing's ≥10% bar, but null results do not establish that effects below the threshold do not exist.
• Absence-of-evidence arguments require specification of the minimum detectable effect size and acknowledgment that non-detection does not prove absence, particularly when volunteer bias may suppress effects.
• Guess et al. (2023) recruited volunteers consenting to treatment assignment, introducing volunteer bias that may reduce or mask treatment effects relative to the full population.

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• Could disconfirming or null findings have been suppressed, unpublished, or systematically under-reported (file-drawer / publication bias)?Open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

No one has cited this argument yet.

No arguments cite this one yet — no one has built on or contested it. That is an absence of engagement, not a finding of soundness. Build on or contest it on Isonomia to change that.