Automakers Are Feeding Your Trip Data To Insurance Companies

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Photographer: Emily Elconin/Bloomberg
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If data exists anywhere, Technocrats will lay claim to it. It is their right, not yours. It is their lifeblood, their existence, their reason for being; without data, they are lifeless, empty, barren. Stealing your data is no ethical or moral concern to them because they need it to figure out how to better control you for the “greater good.”

We already know that there is a Agenda-21-esque plan to get cars off the road. The Technocracy Study Course (1934) spelled it out:

The Automotive Branch of Transportation would provide a network of garages at convenient places all over the country from which automobiles could be had at any hour of the night or day. No automobiles would be privately owned. When one wished to use an automobile he would merely call at the garage, present his driver’s license, and a car of the type needed would be assigned to him. When he was through with the car he would return it either to the same garage, or to any other garage that happened to be convenient, and surrender his Energy Certificates in payment for the cost incurred while he was using it.”

The details of this cost accounting for automotive transportation are significant. The individual no longer pays for the upkeep of the car, or for its fueling or servicing. All this is done by the Automotive Branch of the Division of Transportation. In this manner a complete performance and cost record of every automotive vehicle is kept from the time it leaves the factory until the time when it is finally scrapped, and the metal that it contains is returned to the factory for re-fabrication. In this manner the exact energy cost per car-mile for the automotive transportation of the entire country is known at all times. Similar information is available on the length of life of automobiles and of tires. With such information in the hands of the research staff, it becomes very definite as to which of various designs is the superior or the inferior in terms of physical cost per car-mile.

The 1934 Technocrats planned to charge you for the time that the car wasn’t actually driving, limiting you to point A to Point B transport only. You wouldn’t want to be seen as inefficient, would you?

The Technocrat mind hasn’t changed since then. The forces of globalization have unleashed them on the earth to control every aspect of your life. ⁃ TN Editor


Kenn Dahl says he has always been a careful driver. The owner of a software company near Seattle, he drives a leased Chevrolet Bolt. He’s never been responsible for an accident.

So Mr. Dahl, 65, was surprised in 2022 when the cost of his car insurance jumped by 21 percent. Quotes from other insurance companies were also high. One insurance agent told him his LexisNexis report was a factor.

LexisNexis is a New York-based global data broker with a “Risk Solutions” division that caters to the auto insurance industry and has traditionally kept tabs on car accidents and tickets. Upon Mr. Dahl’s request, LexisNexis sent him a 258-page “consumer disclosure report,” which it must provide per the Fair Credit Reporting Act.

What it contained stunned him: more than 130 pages detailing each time he or his wife had driven the Bolt over the previous six months. It included the dates of 640 trips, their start and end times, the distance driven and an accounting of any speeding, hard braking or sharp accelerations. The only thing it didn’t have is where they had driven the car.

On a Thursday morning in June for example, the car had been driven 7.33 miles in 18 minutes; there had been two rapid accelerations and two incidents of hard braking.

According to the report, the trip details had been provided by General Motors — the manufacturer of the Chevy Bolt. LexisNexis analyzed that driving data to create a risk score “for insurers to use as one factor of many to create more personalized insurance coverage,” according to a LexisNexis spokesman, Dean Carney. Eight insurance companies had requested information about Mr. Dahl from LexisNexis over the previous month.

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