Podcast Atlas
concept Updated 2026-07-24 Tags: Data, Surveillance, Genocide, Bureaucracy, Ethics

Data-Enabled Persecution / 数据化迫害

Data-enabled persecution / 数据化迫害 is the source’s pattern for how identity records, classifications, tabulation, and retrieval systems can make political violence more efficient. In 133. IBM与纳粹：为什么普通人不应赞美鸡贼主义, the hosts use IBM, [[Dehomag|德霍梅格]], and [[PunchedCardAdministration|punched-card administration]] to explain how [[NaziGermany|Nazi Germany]] could identify, exclude, deport, exploit, and murder people during [[TheHolocaust|the Holocaust]] with modern administrative speed.

The concept is broader than one machine. It requires a violent institution, categories that matter to that institution, data capture, operational workflows, and people willing to maintain the system. That is why the episode pairs corporate leaders and subsidiaries with [[JacobusLentz|Jacobus Lentz]] and [[ReneCarmille|Rene Carmille]]: the moral stakes sit inside implementation.

Key Claims

  • Persecution becomes more scalable when identity categories are standardized, recorded, and searchable.
  • Administrative efficiency is not morally neutral when it serves exclusion, deportation, forced labor, or killing.
  • Data infrastructure can turn local prejudice or occupation power into systematic state action.
  • The most dangerous actors may look like technicians, clerks, businesspeople, or statisticians rather than ideological orators.
  • Resistance can target the data layer by corrupting fields, slowing retrieval, or refusing accurate classification.

Connections