The Digital Arms Race Against Human Perception

The attention economy has produced a structural misAlignment between platform incentives and collective welfare. What began as digital marketplaces evolved, through competitive pressure, into systems optimized for engagement at any cost — triggering fear, outrage, and social comparison because these reliably outperform more prosocial signals in capturing time-on-platform. The dynamic operates at two levels simultaneously: individual users face coordination failures (teen girls who reject beauty filters lose reach to those who use them), while platforms face their own arms race (TikTok's auto-beautification forces Instagram's hand; Netflix's autoplay compels YouTube's). No actor unilaterally defects from this logic without absorbing the competitive cost. The race to the bottom of the brainstem continues not by anyone's intention but by systemic necessity.

The deeper argument is epistemological. Democratic governance of complex systems — climate, energy, finance, ecology — presupposes a minimally shared empirical commons: citizens must be able to converge, however imperfectly, on basic facts about the world. Algorithmic curation that amplifies tribal identity and affective polarization over accurate shared reality erodes precisely this precondition. The Sensemaking infrastructure has been captured by engagement optimization, and engagement optimization is indifferent to truth.

This reframes the attention economy crisis as a meta-problem. It is not one civilizational challenge among many but the condition that determines whether coordinated responses to any other challenge remain possible. Restoring Epistemic commons is not a downstream benefit of solving other problems — it is the upstream requirement for solving them at all.