Difference between revisions of "GDPR Avoidance"
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This example will show how one standard has been created with the sole purpose of skirting the GDPR law. It does this by claiming that its goal is to help companies reduce the cost of complying with money-laundering legislation. Since support for efforts to reduce international crimes like drugs or pedophilia has a high level of support, any effort to achieve those objectives should be a good idea. So, the | This example will show how one standard has been created with the sole purpose of skirting the GDPR law. It does this by claiming that its goal is to help companies reduce the cost of complying with money-laundering legislation. Since support for efforts to reduce international crimes like drugs or pedophilia has a high level of support, any effort to achieve those objectives should be a good idea. So, the | ||
| − | == | + | # The German banks want to right to send all of your credential information from driver's licenses and passport to their customers. <ref> The OpenID Foundation, ''OpenID Connect for Identity Assurance 1.0'' https://openid.net/specs/openid-connect-4-identity-assurance-1_0.html</ref> |
| + | # For more details see the wiki page on [[GDPR Avoidance]]. | ||
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| + | ==Other examples== | ||
If the huge fines against Google were not enough, the recent attempts to exempt every entity operating inside the EU ought to provide plenty of evidence that the GDPR is nothing more than an effort to extract money from successful Silicon Valley companies. See the following stories: | If the huge fines against Google were not enough, the recent attempts to exempt every entity operating inside the EU ought to provide plenty of evidence that the GDPR is nothing more than an effort to extract money from successful Silicon Valley companies. See the following stories: | ||
# The EU Parliament voted to collect all residents biometrics data into a single data base.<ref>Catalin Cimpanu. ''EU votes to create gigantic biometrics database.'' Zero Day (2019-04-22) https://www.zdnet.com/article/eu-votes-to-create-gigantic-biometrics-database/</ref> | # The EU Parliament voted to collect all residents biometrics data into a single data base.<ref>Catalin Cimpanu. ''EU votes to create gigantic biometrics database.'' Zero Day (2019-04-22) https://www.zdnet.com/article/eu-votes-to-create-gigantic-biometrics-database/</ref> | ||
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Revision as of 11:24, 19 August 2020
Full Title
The GDPR is well-stocked with 40 different avoidance techniques.
The Indictment
- Lawyers that charge client over $500 per hour have been at work first filling the GDPR with exemptions and now are teaching companies how to exercise those exceptions.
- The net results of these legal efforts is that the [[GDPR_is_a_scam#The_GDPR_was_never_meant_to_apply_to_EU_Governments_or_Businesses| GDRP was enver meant to apply to EU Governments or Businesses].
- This is not an indictment about legal activity as the lawyers have assurance that their exemptions are legal, but against the perversion of what appears to be a consumer friendly law that does not meet it objectives.
An Example
This example will show how one standard has been created with the sole purpose of skirting the GDPR law. It does this by claiming that its goal is to help companies reduce the cost of complying with money-laundering legislation. Since support for efforts to reduce international crimes like drugs or pedophilia has a high level of support, any effort to achieve those objectives should be a good idea. So, the
- The German banks want to right to send all of your credential information from driver's licenses and passport to their customers. [1]
- For more details see the wiki page on GDPR Avoidance.
Other examples
If the huge fines against Google were not enough, the recent attempts to exempt every entity operating inside the EU ought to provide plenty of evidence that the GDPR is nothing more than an effort to extract money from successful Silicon Valley companies. See the following stories:
- The EU Parliament voted to collect all residents biometrics data into a single data base.[2]
