There is No Algorithm for Truth - with Tom Scott

Because current platforms optimize short-term profit and lack a global objective like human flourishing or truth, people—creators, researchers, and users—must act as the 'algorithm for truth' by fact-checking and steering systems toward honest outcomes.

Because curriculum change and large-scale systemic reforms are politically and logistically slow, teaching information literacy is necessary but cannot quickly fix the current misinformation problem on its own.

Because an early viral hit sets narrow audience expectations and becomes a constant point of comparison, creators who rely on a single breakout often struggle to evolve, while steady catalogs of minor hits support sustainable careers.

Because machine systems struggle to infer intent and context, high-volume coordinated replies or protests can look like abuse to automated filters, so abuse-reduction policies can unintentionally suppress legitimate public pushback.

Because banning dissent expels moderates and concentrates conversation among committed members, overly strict moderation creates echo chambers that tolerate increasingly extreme views and intensify radicalization.

Because permissive moderation lets legally allowed but harmful actors organize without stronger countermeasures, extremist groups can colonize platforms, driving away moderates and degrading the community and advertiser relationships.

Because a single company must enforce moderation at scale in ways acceptable to advertisers and investors, centralized platforms apply uniform rules that override local community norms and create friction or harm for diverse groups.

Because platforms amplify creators who attract large audiences, visible popularity and parasocial rapport often substitute for formal expertise when gatekeepers choose who gets authority or commissions.