[Bluebird_Jay]

please find data on exactly what websites that consmers are signed up to, that these databrokers gather or buy their info from to put a person on public records sites,  that would be highly valuable info.

That's something separate.

Gravy Analytics was taking location information from phones from apps that allowed ads to access GPS data ("We have no idea who Gravy Analytics is... but we felt that it would be cool to have your GPS data to play a game, and let advertisers have it...").

Public records sites get info from many sources. They range from low quality "leads" from 10-20 years ago, all the way up the food chain to places like cell phone carrier and mortgage/loan companies. That's something I've been working on trying to find.

yeah not just mortgage sites though, even rewards cards sign ups and retail sites aswell as social media, my thing i want to know the EXACT sources they pull from.

[ThinkingOne]

yeah not just mortgage sites though, even rewards cards sign ups and retail sites aswell as social media, my thing i want to know the EXACT sources they pull from.

I've found some. The NPD leak has clues inside. Many companies have test accounts in their live customer databases. Some of those companies supply data to whoever NPD got their data from. Some of those companies accidentally leaked the test accounts.

Similarly, many companies have/had this silly practice of using their own address or phone number in customer records (probably if they didn't know the address/phone). If that data got to NPD, in many cases it is possible to figure out what company it was by finding those addresses/phones and figuring out who they belong to (sometimes easy, sometimes hard: e.g. if it's a 15 year old PO box).

[Bluebird_Jay]

The NPD leak nam3less dropped has em right? wow thats some good insight you got there, it wouldnt be a bad idea if we collab on this since we have a common goal , pm me bro.

[ThinkingOne]

Here's something from "ak_temp_changesfromsource (10359)" in 1.zip\DB.zip. I removed a bunch of less interesting fields:

    {
        "objecttype": "event",
        "name": "Pop Up Picnic in the Park Couple Date Night (Self-Guided)",
        "address1": "1224-1256 Midway Parkway",
        "zip": "55103",
        "mindwelltimeseconds": 3600,
        "maxdwelltimeseconds": 18000,
        "startdate": "2023-01-15 16:00:00",
        "enddate": "2023-01-15 20:00:00",
        "fencepolystring": "(-93.153634,44.979410),(-93.154275,44.978776),(-93.155170,44.979682),(-93.154529,44.980315),(-93.153634,44.979410)",
    },

If I am reading this properly, Gravy Analytics appears to have known there was a "date night" event, and made a list of all the people they believed attended based on people who were in a specific geographical area for 1-5 hours between 4PM and 10PM on January 15, 2023.

---

Here's another one: 1.zip\GravyAnalytics.zip\2024_07_31__23_59_23_dynamodb.json makes it look like they are ingesting a list of open houses from Zillow... and appear to have a table "openhouseeventsbatches". So... just guessing here... that maybe... they are getting lists of people who are going to open houses.

So if you go to an open house and a few days later get a letter in the mail from a realtor, you'll know what happened!

[AntiBrok3rs]

Here's something from "ak_temp_changesfromsource (10359)" in 1.zip\DB.zip. I removed a bunch of less interesting fields:

    {
        "objecttype": "event",
        "name": "Pop Up Picnic in the Park Couple Date Night (Self-Guided)",
        "address1": "1224-1256 Midway Parkway",
        "zip": "55103",
        "mindwelltimeseconds": 3600,
        "maxdwelltimeseconds": 18000,
        "startdate": "2023-01-15 16:00:00",
        "enddate": "2023-01-15 20:00:00",
        "fencepolystring": "(-93.153634,44.979410),(-93.154275,44.978776),(-93.155170,44.979682),(-93.154529,44.980315),(-93.153634,44.979410)",
    },

If I am reading this properly, Gravy Analytics appears to have known there was a "date night" event, and made a list of all the people they believed attended based on people who were in a specific geographical area for 1-5 hours between 4PM and 10PM on January 15, 2023.

---

Here's another one: 1.zip\GravyAnalytics.zip\2024_07_31__23_59_23_dynamodb.json makes it look like they are ingesting a list of open houses from Zillow... and appear to have a table "openhouseeventsbatches". So... just guessing here... that maybe... they are getting lists of people who are going to open houses.

So if you go to an open house and a few days later get a letter in the mail from a realtor, you'll know what happened!

Or if you are a Drug dealer or criminal, or trying to hide money and gov wants to more about you, now they know the Price value of homes you are looking at.

Places like Gravy Analytics should be BANNED by all gov's.

In a way FTC just did that!

https://www.ftc.gov/news-events/news/pre...ation-data

[ThinkingOne]

More: there are hints that they have geofencing coordinates for over 156M locations ("aligned_venue_fences (156220949)"). That would likely include every house/apartment/business in the U.S.. They have an archive of 58M house sale "events" ("housevenues_old (58851181)"), with 13M open houses ("openhouseevents_archive (13245587)").

They kept track of store coronavirus responses: for example, they know (in 1.zip\prod-pems-db-samples.zip\pems\chaincoronavirusresponse (85)) that Albertson's supermarkets had 7AM-9AM reserved for seniors.

1.zip\prod-pems-db-samples.zip\pems\events_archive (126695543) starts with an event that appears to be for elementary school age girls. WTF? The file "events_corona (2273913)" starts with an event for 13-16 year olds as well.

They kept track of over 45,000 events per day in 2024 (if the filename in "events_archive_2024 (17455482)" is as expected).

Want to know who donated blood? They've got a file for that: 1.zip\prod-pems-db-samples.zip\workspace\dump_bloodgpo1224 (21).

They have a sense of humor; cannabis dispensaries are called "dope stores" (1.zip\prod-pems-db-samples.zip\workspace\dump_dopestore (1800)).

Want to know who's been to the Chinese Naval Intelligence Base? 1.zip\prod-pems-db-samples.zip\workspace\dump_foreignmilitarybases (210)

Want to market to the homeless? Go for it, Gravy won't stop you! 1.zip\prod-pems-db-samples.zip\workspace\dump_homelessshelter (9703).

U.S. Military locations and bases? Same for Iran and Yemen? Yes, please.

Not sure what they will do with the list of Planned Parenthood locations.

Prisons? Great leads for someone writing a book "How to break your loved one out of prison".

Runways? I'm sure that some company imports/exports those orange light-saber like things they use to direct planes!

New car dealerships? Great for competitors!

us_mx_border_geohash? That's already been taken by ICE and CBP to find illegal (and legal) immigrants.

However, this is all cool according to Gravy Analytics, because "We also work closely with our data suppliers to ensure the data we process comes from device users who have opted-in to the collection of device identifiers and geolocation signals."

[ThinkingOne]

More again: From mmds-20240224.parquet we find:

{'age': 48, 'ageRaw': '48', 'ageMin': 48.0, 'ageMax': 48.0, 'gender': 'male', 'generationalSuffix': None, 'maritalStatus': 'SINGLE', 'parentSignal': 0.0, 'incomeStatus': '30000-39999', 'educationLevel': 'MIDDLE SCHOOL', 'numberOfChildren': None}

Not sure if I would want people to know that I hadn't completed middle school, and was making $30K-$40K/year.

[OriginalCrazyOldFart]

It would be great to get one of those free "welfare phones" & attach it to the rear of a tractor trailer headed into Mexico & back, then do the same with it with one headed to Canada. Or, stick it on a plane headed to China (in a box of course). lol !!
The government is passing out those Welfare Phones to homeless people, you never see one who doesn't have a phone these days. So, what is the point in tracking them ? They don't have a place to sleep or anything to eat, or even a BATH, but they all have PHONES.

[sovrvltn]

Reminds me of the location data that the NY Times got in 2019 ( https://www.nytimes.com/interactive/2019...phone.html ). 50 billion records.

Great info!

This is WHY we need to expose all data being leaked and even stuff that ransom groups are leaking.

Look at this data 2019 to 2025, if the world does not wake up soon and take action against these companies now, then when?

What will the data landscape look like in 10, 20 or even 30 years?

As technology grows what part of a person's life will be private?

Imagine a world where Data brokers know when you sleep, when you wake up to use the bathroom, when you turn on your lights and  in what pattern?

The more people rely on technology, and do not force new data protection and privacy laws, the more everything these companies will and be able to detect.

George Orwell's 1984 does not even come close to the amount of tracking happening TODAY, forget about 10 or 20 years form now.

What will our future kids say about us today for our lack of action?

No part of anyone's life is private anymore as it is today. We are all being harvested 24/7 for every minuscule piece of data they can get. The end goal of this is to not only know what we will do but to use the algorithms they have entrapped us with to be able to sell "guaranteed outcomes" to companies who buy their services.

A side note, Orwell was a piece of shit and his book isn't nearly as good as everyone makes out.