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Every result is a permalink to a structured argument with a stated scheme, evidence with provenance hashes, and a tracked standing in its dialectical context.
25 results · most recent first · hybrid retrieval
UntestedArgument from Sample to Population (Statistical Generalization)hybrid Strongest counter:none on fileUntestedCause to Effecthybrid TODO: a single claim summarizing the set of plausible confounders (declining sleep, less unsupervised face-to-face time, changes in clinical screening practice) that the available studies cannot cleanly separate from social-media exposure.
TODO: enumerate each candidate confounder (sleep, in-person socializing, diagnostic-screening sensitivity, post-2008 economic anxiety, opioid-era family disruption) with the specific reason it cannot be cleanly separated from smartphone exposure in the existing observational studies.
Strongest counter:none on fileUntestedArgument from Verbal Classificationhybrid Human activity is causing dangerous global warming that requires immediate action
Strongest counter:none on fileUntestedMethodological Critique (NON-STANDARD)hybrid A's argument that the algorithm is a manipulable time-varying treatment actually reinforces the point that the 2020 experimental window tested a reduced-intensity version of the treatment, limiting temporal generalizability.
[DEFENSE-UNDERCUT → euq4af] The 63 break-glass changes during the experiment confirm that Meta could and did reduce the algorithm's polarizing potential, meaning the 2020 experiment tested an attenuated version of the treatment that existed in earlier periods. The lead author acknowledged that researchers cannot go ba…
Strongest counter:none on fileCited by:none on file yetUntested · SupportedArgument from Negative Consequenceshybrid Precautionary policy enacted in the absence of established causal evidence systematically produces policy whack-a-mole: each new candidate harm (phones, video games, fluoride, vaccines, sugar) generates its own precautionary regime, the re…
Even granting the asymmetric-cost framing in the abstract, the synthesis under-specifies the institutional consequences of acting precautionarily without first establishing causation. A precautionary regime adopted on these terms doesn't sit in isolation — it joins a growing stack of regimes (vaping, fluoride, video-g…
Strongest counter:none on fileCited by:none on file yetTested · SurvivedPractical Reasoning (Goal→Means→Ought)hybrid TODO (mediator-side synthesis claim): even under uncertainty about the strength of the causal link, a precautionary policy stance toward adolescent smartphone access is justified. (Used as a synthesis target for arguments from both sides.)
TODO (mediator synthesis): under genuine causal uncertainty, the asymmetric cost structure (a generation's mental health vs. some lost teen smartphone utility) plus the existence of cheap, low-side-effect interventions (school phone bans, age-gated platforms, default-private accounts) is enough to license precautionar…
UntestedSignhybrid Advanced AI systems pose significant alignment and safety risks that are not adequately addressed by current industry self-regulation.
Strongest counter:none on fileCited by:none on file yetUntestedSignhybrid Advanced AI systems pose significant alignment and safety risks that are not adequately addressed by current industry self-regulation.
Strongest counter:none on fileCited by:none on file yetUntestedPractical Reasoning (Goal→Means→Ought)hybrid Governments should implement mandatory safety testing and certification requirements for AI systems above certain capability thresholds.
Strongest counter:none on fileCited by:none on file yetUntestedPractical Reasoning (Goal→Means→Ought)hybrid Governments should implement mandatory safety testing and certification requirements for AI systems above certain capability thresholds.
Strongest counter:none on fileCited by:none on file yetUntestedArgument from Negative Consequenceshybrid The decade of delay has locked in $2 trillion of high-carbon infrastructure.
Strongest counter:none on fileCited by:none on file yetUntestedArgument from Negative Consequenceshybrid The decade of delay has locked in $2 trillion of high-carbon infrastructure.
Strongest counter:none on fileCited by:none on file yetUntestedMethodological Critique (NON-STANDARD)hybrid Scaling Allen & Tucker's 10-day individual-level effect to 5–15% population-level contribution assumes linear extrapolation, no decay over 12 years, and uniform exposure persistence that the framing identifies as unestablished.
[REBUT] Allen & Tucker (2025) measure a 2-point shift on a 100-point scale within 10 days in a volunteer sample during a high-salience election period. Scaling from individual-level short-run effects to population-level long-run aggregates requires assumptions about exposure persistence, treatment heterogeneity, and n…
Strongest counter:none on fileCited by:none on file yetUntestedCausal (If cause then effect)hybrid Had aggressive carbon pricing started in 2015, we would have 40% lower emissions today.
Strongest counter:none on fileCited by:none on file yetUntestedCausal (If cause then effect)hybrid Had aggressive carbon pricing started in 2015, we would have 40% lower emissions today.
Strongest counter:none on fileCited by:none on file yetUntestedPractical Reasoning (Goal→Means→Ought)hybrid An effective AI safety regulatory framework should include tiered requirements based on capability assessments, mandatory incident reporting, and independent auditing.
Strongest counter:none on fileCited by:none on file yetUntestedPractical Reasoning (Goal→Means→Ought)hybrid An effective AI safety regulatory framework should include tiered requirements based on capability assessments, mandatory incident reporting, and independent auditing.
Strongest counter:none on fileCited by:none on file yetUntestedPractical Reasoning (Goal→Means→Ought)hybrid An effective AI safety regulatory framework should include tiered requirements based on capability assessments, mandatory incident reporting, and independent auditing.
Strongest counter:none on fileCited by:none on file yetUntestedInference to the Best Explanationhybrid The Bail et al. (2018) backfire effect demonstrates that cross-partisan exposure can increase polarization independently of algorithmic curation, supporting the inference that polarization from such exposure is not attributable to algorith…
[DEFENSE-REBUT → 7sxqaq] Bail et al. (2018) delivered counter-attitudinal content via researcher-controlled bots that bypassed the platform's algorithmic ranking entirely. The backfire effect occurred in this non-algorithmic delivery context, demonstrating that the polarizing response to counter-attitudinal content is…
Strongest counter:none on fileCited by:none on file yetUntestedCausal (If cause then effect)hybrid Well-designed AI safety regulation can promote rather than hinder innovation by creating clear standards and public trust.
Strongest counter:none on fileCited by:none on file yetUntestedCausal (If cause then effect)hybrid Well-designed AI safety regulation can promote rather than hinder innovation by creating clear standards and public trust.
Strongest counter:none on fileCited by:none on file yetUntestedSignhybrid The Bail et al. backfire effect supports rather than undermines the claim that algorithmic exposure causally influences affective polarization, because it demonstrates that platform-mediated content exposure produces measurable attitude ch…
[DEFENSE-REBUT → j70xo6] The original argument explicitly acknowledged the backfire effect and cited it as evidence that platform-mediated exposure causally affects partisan attitudes, not as evidence of depolarization. A causal effect that operates in an unexpected direction still establishes that the mechanism exist…
Strongest counter:none on fileCited by:none on file yetUntestedArgument from Negative Consequenceshybrid Premature AI regulation could stifle innovation and cede technological leadership to less safety-conscious jurisdictions.
Strongest counter:none on fileCited by:none on file yetUntestedArgument from Negative Consequenceshybrid Premature AI regulation could stifle innovation and cede technological leadership to less safety-conscious jurisdictions.
Strongest counter:none on fileCited by:none on file yetUntestedMethodological Critique (NON-STANDARD)hybrid This projection inference remains conditional because circulation nudging uses a single model and may constrain forced circulation changes and local feedbacks, making separation of forced and internal circulation drivers essential.
Strongest counter:none on fileCited by:none on file yet