Pluralistic: California's privacy obstacle course (23 Jul 2026)

· Source: Pluralistic: Daily links from Cory Doctorow · Field: Government & Public Sector — Public Policy & Governance, Regulatory & Compliance · Depth: Intermediate, long

Summary

California's new Delete Request and Opt-out Platform (DROP), launching in August 2026, aims to allow residents to compel data brokers to delete their personal information and derived inferences. This initiative emerges as federal efforts to regulate data brokers, implicated in issues from deepfake porn to algorithmic wage discrimination, have largely failed. However, the article criticizes DROP as a "privacy obstacle course," describing its implementation as "nearly impossible to complete." The process demands an "incredibly invasive" Login.gov ID, redundant photo ID verification, personal details including car VIN, and a mobile advertising identifier often requiring a separate app like AAID. The author argues this convoluted system, requiring more authentication than filing taxes or becoming a US citizen, is "malicious compliance" that maintains the fiction of consensual surveillance, rather than directly banning data brokers.

Key takeaway

For legal professionals advising on data privacy or policymakers drafting new regulations, California's DROP tool exemplifies the pitfalls of opt-out systems. You should recognize that complex, multi-step processes for data deletion, like those requiring redundant ID verification and mobile ad identifiers, create unnecessary barriers. Prioritize advocating for legislation that bans data brokers or mandates opt-in consent by default, shifting the burden of proof onto data collectors rather than individuals.

Key insights

Opt-out privacy systems like California's DROP are fundamentally flawed, creating barriers to data deletion instead of banning data brokers.

Principles

Method

The ideal method for avoiding surveillance should be passive: "Step one: Exist. Step two: There is no step two."

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Policy Maker, Legal Professional, AI Ethicist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Pluralistic: Daily links from Cory Doctorow.