You probably are posting this as a joke, but without a clear technical solution to this problem, flooding the industry with bullshit data seems like a great avenue.
The quick doesn't mean "fast". It means "alive".
In the context of "quicklime" the quick refers to the heat of the reaction when making lime for slaking on walls, etc.
"Quick" historicaly has been applied to plants and animals (alive), rivers and streams (moving), coals, fires, quicklime (burning, heat producing, glowing), to speeches and pamphlets (Lively, full of vigour or sharp argument), to tastes, to smells, and more.
The full blown Oxford English Dictionary entry for quick is a lengthy one, multiple cases and variations over a page and more.
Unfortunately that strategy is deeply flawed and dangerous because nobody cares if the data they have on you is accurate or not. They still can, and still will, use it against you at every opportunity. Every scrap of data they have, accurate or not, can be used to hurt you.
The only way to flood data brokers with garbage data that can't hurt anyone is to fill it with entirely fictitious people who somehow can't be mistaken for any actual people. Even that runs the risk of hurting real people though. For example, an insurance company might go to a data broker and ask for the number of people within a certain neighborhood or zip code who bought fast food more than once a week in the last year and how many have a gym membership. If the number of frequent fast food buyers is higher than it was last year and/or the number of gym members is lower the insurance company might decide to raise the rates of every single member within that neighborhood or zip code. Even fake people could skew those numbers if their fake data said they lived in those zip codes or neighborhood and ate out a lot or didn't have a gym membership. Indirectly, the fact person is mistaken for being a real one in that community.
The best way to deal with data brokers is to regulate them with strong data protection laws. Anything you give them risks hurting someone and gives them another data point to sell.
Wouldn't that be against redlining laws? https://en.wikipedia.org/wiki/Redlining
More importantly, your insurance company is never going to tell you that that's why they raised your rates. You're just going to see a high bill. Same way that a potential employer isn't going to tell you that you didn't get the job because of something you said on social media 14 years ago, or because the information they got from a data broker says you drink a lot. You just get ghosted.
That's the problem with surveillance capitalism. Even as all that data increasingly impacts your life you're almost never aware that it's happening and have no ability to appeal or correct the record.
What are some examples of inaccurate data, as in completely false data, being able to hurt me?
You could be incorrectly flagged as having more money than you do, causing companies to charge you more than they charge your neighbors for the exact same items. Discriminatory pricing has been happening for a very long time. Just using a different browser can cause prices for some online services to change. (https://www.bostonglobe.com/business/2014/10/22/online-shopp...) For example, Apple users might be seen as having/spending more money and so the prices they get for hotels and airfare can be higher. Increasingly, brick and mortar stores have been trying to get in on the action too. (https://link.springer.com/article/10.1057/s41272-019-00224-3)
If you have a browser extension that randomly visits sites and clicks on ads. Maybe it clicks a bunch of ads for alcohol or marijuana. Maybe it clicks on ads for mental health services, addiction/recovery services, or suicide hotlines. That data can be used against you in court during a divorce/child custody case. It might make a company less likely to hire you. It might cause your health insurance company to charge you more.
Maybe it clicks on ads for DUI attorneys and suddenly your auto insurance rates go up. The company isn't going to tell that's why. They might not even know why. their algorithm just decided you were more high risk than before.
Every data broker is creating a dossier with your name on it, and they are stuffing it with every scrap of data they can get their hands on. That data can cost you a job or a rental contract (see https://nypost.com/2022/12/20/how-employers-spy-on-your-sear... and https://themarkup.org/locked-out/2020/05/28/access-denied-fa...).
The data being collected on you can get you arrested or questioned by police. (see for example https://www.nbcnews.com/news/us-news/police-google-reverse-k... and worse https://www.nbcnews.com/news/us-news/google-tracked-his-bike...)
Any data for sale, accurate or not, is going to be used against you. The people paying data brokers for information about you aren't doing it because they want to help you. They want to help themselves at your expense. And its insane how many people are buying up that data and using it whenever they feel it might give them even the smallest advantage. Companies are using that data to decide things like how long to leave you on hold when you call them. (https://www.nytimes.com/2019/11/04/business/secret-consumer-...)
Very true! Great examples and reply, thank you!
And that data has been made public likely in some form, and is probably replicated to dark corners of the planet.
Don't get me wrong, regulation on these industries seems like a no-brainer, but it seems unlikely to remediate the damage already done.
"It says here that this shipment is for Firstname Lastname at 1 Main St, Yourcity, born January 1st in the same year as you. Your license has a different address and different birth day and month, so you're not the same person."