Mrs. Miller goes to Elon.

[speak easy]

I think something important has been overlooked. Every time those DOGE Bros got access to a federal database, the data would have been uploaded straight to the cloud. It doesn't matter if they were locked out later they got what they wanted. Now it is being used illegally as training data for a Grok AI model.

This is not just a way to track down undocumented immigrants, or to blackmail people, it is the greatest invasion of privacy in United States history.

No doubt Mrs. Miller will be reporting back to Heydrich, I mean Stephen, about the 'interesting' things they are turning up.

[Irish_Dem]

1. My thoughts as well. Mrs. Miller is the liaison to the treasure trove of data taken by Musk.

Also it was easy for Musk to install automatic and undetected federal payments to himself and others in perpetuity.

[Irish_Dem]

2. Musk and Miller could be compiling an enemies list.

We can only guess the evil intent they have regarding the huge amount of personal data they have taken.

[sop]

3. You just know there's skulduggery afoot.

[Irish_Dem]

4. Yep. They are not gathering names to send money and prayers our way.

There is serious evil afoot.

[speak easy]

5. ... and a granular analysis of voters.

[Irish_Dem]

6. This would help with targeted propaganda and threats.

And also all kinds of targeted scams and con jobs.

And exactly where to rig, steal, plant votes during elections.

[speak easy]

7. "targeted scams and con jobs"

Crypto!

[Irish_Dem]

9. People don't really understand what can be done with large amounts of data.

There are very sophisticated computer modeling and analysis software packages.

They can analyze data six ways to Sunday and spit out the most amazing conclusions.

[Irish_Dem]

10. Crypto is only one scam.

With this much data they can target specific scams to specific people.

Each American has a scam tailor made to their life circumstances and history.

[speak easy]

12. I only mentioned Crypto as a joke.

The AI itself will be able to conjure up novel scams and threats for Mr. Musk's viewing pleasure.

[Irish_Dem]

13. You are right about the crypto.

But yes AI will come up with scams we have not even thought of yet.

And since they have access to all Medicare and Medicaid data they can estimate
the number of deaths from lack of healthcare, vaccines, research, emergency alerts, etc.

They can probably predict death rates, and who, when, where people will die.

[Irish_Dem]

14. They can also predict how many people will die because of each of Trump/Musk actions.

They can determine have many people will die because of no updated flu vaccines.
Or have many people will die because of lack of weather alerts or FEMA action.

Or lack of Medicare/Medicaid.

They know how many people will die for each of their polices.

[ultralite001]

11. Let's ask Grok to furnish us w/ a list...

of DOGE's key word searches + tags... Inquiring minds want to know...

Here's one result of a Grok query:

Contract and Grant Terms:
Keywords related to wasteful or obsolete contracts, such as:
"unused phone lines"
"consulting contract"
"youth climate corps coordinator"
"facilitation and collaborative problem solving services"

Example: DOGE identified 198 unused or duplicated phone lines at the U.S. Office of Personnel Management (OPM), suggesting searches for terms like "unused lines" or "phone line licenses" in agency records.

Social Security Record Cleanup:
Keywords related to outdated or erroneous records, such as:
"age 120+"
"deceased numberholders"
"multiple birth dates"

Example: DOGE oversaw a Social Security Administration cleanup of approximately 12.3 million records of individuals listed as 120+ years old, likely using queries for age-related anomalies or deceased statuses.

Voter List Maintenance:
Keywords related to voter registration data, such as:
"ineligible voters"
"voter list maintenance"
"Louisiana voter records"

Example: Louisiana used DOGE’s voter list maintenance database to ensure only eligible citizens are registered, implying searches for discrepancies in voter rolls.

Regulatory and Spending Data:
Keywords tied to regulations or budgetary inefficiencies, such as:
"burdensome regulations"
"cost savings"
"grant cancellations"

Example: DOGE’s Deregulation Leaderboard tracks repealed regulations with associated cost savings, suggesting searches for terms like “obsolete regulations” or “regulatory cost.”

Fraud, Waste, and Abuse:
Keywords for identifying misuse of funds, such as:
"fraudulent grants"
"improper payments"
"wasteful spending"

Here's another Grok query:

Likely Keyword Searches by DOGE Related to Illegal Immigrants

Social Security Number (SSN) Fraud and Misuse:
Keywords:
“invalid Social Security number”
“multiple SSN usage”
“fraudulent SSN enrollment”
“noncitizen SSN”
“SSN mismatch”

Context: DOGE is reportedly developing an algorithm to identify Social Security numbers used by illegal immigrants or those fraudulently enrolled in benefit programs. This involves cross-referencing SSA data with immigration records to detect anomalies, such as SSNs linked to noncitizens or deceased individuals.

Example: A February 7, 2025, announcement by President Trump highlighted DOGE’s efforts to create an algorithm targeting fraudulent SSN use by illegal immigrants, suggesting searches for terms like “undocumented SSN” or “SSN nonresident.”

Immigration Status and Enforcement Records:
Keywords:
“illegal alien”
“undocumented immigrant”
“deportation order”
“removable alien”
“immigration fugitive”
“overstayed visa”

Context: DOGE is building a master database with Palantir Technologies to enhance ICE’s deportation operations, combining data from DHS, IRS, SSA, and other agencies. This database likely involves queries to identify individuals with no legal status or those defying deportation orders.

Example: Searches for “removable aliens” or “final order of removal” align with ICE’s Enforcement and Removal Operations (ERO) priorities, which DOGE supports by centralizing data for faster identification.

Federal Benefits and Program Abuse:
Keywords:
“noncitizen benefits”
“illegal alien welfare”
“housing benefits nonresident”
“employment benefits undocumented”
“SNAP noncitizen”

Context: DOGE is cross-checking federal data to prevent illegal immigrants from accessing housing, employment, or welfare benefits. This involves querying databases for noncitizens enrolled in programs like Medicaid, SNAP, or housing assistance.

Example: A DOGE volunteer stated that approximately 5 million illegal immigrants were found to have accessed benefit programs via automatic SSN systems, suggesting searches for terms like “nonqualified immigrant benefits” or “undocumented welfare recipient.”

Voter Registration and Noncitizen Voting:
Keywords:
“noncitizen voter”
“illegal voter registration”
“voter roll discrepancy”
“nonresident voting”
“Pennsylvania voter records”
“Florida voter records”

Context: DOGE is working with the Department of Justice (DOJ) and DHS to identify alleged noncitizen voters by cross-referencing voter rolls with immigration data, particularly in states like Pennsylvania and Florida.

Example: Searches for “noncitizen voter registration” or “voter list ineligible” align with DOGE’s voter list maintenance efforts, as seen in Louisiana’s use of DOGE’s database to ensure only eligible voters are registered.

Criminal Activity by Illegal Immigrants:
Keywords:
“criminal alien”
“gang member immigrant”
“Tren de Aragua”
“MS-13”
“illegal alien assault”
“deportable criminal”

Context: ICE, with DOGE’s support, prioritizes arresting and removing illegal immigrants with criminal records, including 2,288 gang members (e.g., Tren de Aragua, MS-13) in the first 100 days of the Trump administration. This suggests searches targeting criminal histories linked to immigration status.

Example: Queries like “criminal undocumented alien” or “gang-affiliated noncitizen” are likely used in DOGE’s data-sharing initiatives with ICE’s Homeland Security Investigations (HSI) and ERO.

Worksite Enforcement and Illegal Employment:
Keywords:
“unauthorized worker”
“illegal employment”
“worksite violation”
“undocumented labor”
“employer hiring noncitizen”

Context: DOGE supports ICE’s worksite enforcement operations, which have arrested over 1,000 illegal workers and proposed fines against businesses hiring undocumented immigrants. Searches likely target employer records and employee immigration status.

Example: Terms like “noncitizen employee” or “worksite immigration violation” are probable, given ICE’s use of Palantir’s ImmigrationOS for tracking unauthorized workers.

Self-Deportation and Voluntary Departure:
Keywords:
“self-deportation”
“CBP Home app"
“intent to depart”
“voluntary departure illegal”
“noncitizen travel assistance”

Context: DOGE’s database efforts include tracking self-deportation through the CBP Home app, which offers financial stipends for voluntary departure. Searches likely identify eligible individuals or monitor compliance.

Example: Queries like “self-deportation application” or “CBP Home stipend” are plausible for managing this program.

Supporting Evidence from Sources
Master Database Development: DOGE is collaborating with Palantir Technologies to build ImmigrationOS, a system that integrates biographic, biometric, and behavioral data from DHS, IRS, SSA, and other agencies to enhance ICE’s deportation efficiency. This suggests searches for terms like “undocumented immigrant data” or “cross-agency noncitizen records.”

Data-Sharing Agreements: A controversial IRS-ICE data-sharing deal, facilitated by DOGE, focuses on undocumented immigrants with deportation orders, using terms like “noncitizen tax records” or “deportable taxpayer.”

X Posts: Posts on X highlight DOGE’s focus on SSN fraud (), voter registration checks (), and benefit program abuse (), indicating searches for related terms. These posts are not conclusive but reflect public sentiment and DOGE’s reported priorities.

https://grok[.]com/ (delete the brackets)

😡👿🔥😡👿🔥😡👿🔥

[vapor2]

8. Read an article where elons doge committed the biggest data heist ever