Contribution to the handbook
Supporting · Assessed 2026-10-27
It identifies possible obstacles to citizen awareness and resistance, including everyday reliance, low visibility, and secrecy. These are relevant risks for scrutiny and safeguards, but the evidence is qualified and does not specify countermeasures or a governance design.
Does this challenge the goal?
In-scope gap
It explores practical barriers to citizens resisting monitoring, within the existing goals of serving citizens and examining risks. It does not contest those goals.
The cited arguments describe possible mechanisms and predictions; they do not establish how often people encounter them or prove actual harm.
Why this category?
- Citizen-facing risk to awareness and ability to scrutinize data collection
- Possible implementation barrier arising from ordinary reliance and institutional secrecy
The evidence comes from one shared source and is presented as argument or prediction, not measurement. It does not show that resistance is impossible or evaluate specific countermeasures.
This is an AI assessment of contribution to the goal, separate from whether the question has an answer.
Authority, accountability and resilience →
Read the exploration goalNew evidence is being assessed. Any answer below is provisional; parts whose evidence changed or was withdrawn are withheld.
Explain how the presence, visibility, and everyday use of data-collecting systems could make resistance difficult.
What we can say so far
Danaher’s account suggests several mechanisms: data-collecting systems can be widespread yet hard to notice, while people’s everyday reliance on them can make their uses and effects less salient. That combination can make opting out or resisting difficult. Resistance may also carry practical or procedural costs if people stop using systems they rely on. Secrecy can further impede resistance by limiting public understanding: companies may invoke trade-secret protections, and government agencies may restrict information to prevent gaming or hacking. These are the author’s proposed mechanisms, not measurements of how often or how strongly they operate.
What remains open
- The passages do not measure the prevalence or strength of these mechanisms; the explanation is the author’s argument, not an empirical estimate.
Conditions and limits
- The supplied passages are from a readable author-manuscript mirror, not the publisher typeset version.
- The author says people may learn about hidden uses through public debate, regulation, or other means; secrecy is not presented as impossible to overcome.
- The practical and procedural benefits that might make stopping use costly are not specified.
- The author’s expectation that monitoring will become more widespread is predictive and uncertain, so it is not relied on as an established trend.
Objections to consider
- The forecast is explicitly uncertain and concerns possible future growth; the required explanation is satisfied without relying on it.
Evidence and related ideas
Supporting evidence, qualifications and context play different roles in this answer.
supports
Monitoring can be hard to notice Widespread data monitoring can make resistance difficult because people may rely on these technologies in daily life and become less aware of their uses and effects.
Directly supports the mechanism linking widespread, low-visibility monitoring and daily reliance with reduced awareness and difficulty resisting.
The Threat of Algocracy: Reality, Resistance and Accommodation
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