Gouging the Eyes of the Beast

 

Gouging the Eyes of the Beast

A Community Guide on how to defend against hostile surveillance

 

 

 

Blinding the Beast: Full Counter-Surveillance Protocol for Families

WARNING: Your Family is Being Watched

Big surveillance tech companies such as Palantir, Flock Safety, Elbit Systems, Clearview AI, Graphite, Axom and others now have access to massive amounts of American citizens' personal data, including camera and audio monitoring. This includes your phone calls, text messages, emails, location, browsing history, social network, relationships, intimate details of loved ones and even patterns in your daily life. Palantir’s leadership has direct ties to figures like Jeffrey Epstein, raising serious concerns about what kind of control they intend to have over the population—especially children.

Palantir works by collecting and analyzing everything about you using AI and predictive modeling. They build a digital twin of your life to forecast what you will do, say, buy, or think. Once their system has an accurate model of your family, they can influence and trap you without ever touching you.

The Good News: Their Power Relies on Prediction and Data. Prediction Can Be Broken because data can be faked and advanced technology is fragile when low-tech methods are embraced

This guide introduces Blind Beast—a household-level counter-surveillance protocol that uses misdirection, falsified digital trails, and behavioral disruption to corrupt and overload predictive models for protection of your family and your children. Inspired by simple techniques used by the French Resistance and the OSS during WWII against the fascists along with time-tested disciplines used by the guerilla resistance forces throughout history to include the Vietcong against far more advanced imperial forces, this harnesses the power of sheer numbers within the US population to degrade technologies that require a mostly predictable population. Mess up the predictability and you can send advanced surveillance techniques chasing their own tail.

 

PRELUDE: Speak Only in Silence

First: Understand that this guide doesn’t require you to abstain from social media free speech or censor yourself. This is in ADDITION to exercising free speech but it is only effective if it is practiced collectively and en masse. It starts in the household but it requires many households to adopt it for it to be effective on a national scale. 

Second: Every household must adopt a sense of responsibility to evangelize their surrounding neighbors and community with these calls for safety against surveillance. 

Third: Every system must adapt, including these tactics. There must always be a constant reevaluation of tactics and evolution using brilliant minds to create new tactics besides the ones outlined here so that the evolution of countermeasures can outpace the evolution of elite control. 

Fourth: Before anything else—understand this clearly:

All genuine discussions, code decryption keys, planning, or coordination for executing these measures, community counter-surveillance, or resistance tactics must happen in an electronically sterile air-gapped environment.


That means:

No Phones. No Wi-Fi. No Smart Devices. No electronics. No Exceptions.

Every microphone, every chip, every Bluetooth ping—even when “off”—can be turned into a surveillance tool. The speakers on your devices can also be used as a microphone
 

If you talk about the real plan in a compromised environment, you are handing your strategy to the enemy.

 

 

How to Secure Your Communication Space

  • Faraday Bags or Cages: Place all phones, smart watches, laptops, tablets, or electronics into Faraday enclosures before speaking.

  • No Wi-Fi Signals: Shut off all routers, towers, or hotspots. Unplug everything and Faraday them all.

  • No Voice Assistants: Remove or disconnect Alexa, Siri, Google Home, etc.

  • No TVs or Smart Appliances: These also carry microphones and broadcasting capability.

  • No Digital Notes: Don’t type your plans. Write them on paper with a pen or pencil. Burn or hide them when no longer needed.

  • Isolate the Space: Outside in nature/wilderness, inner rooms or basement—anywhere without electronics and thick enough to dampen signals—is ideal.

 

 

 Use Analog, Not Digital

  • Write, don’t type.

  • Draw maps, don’t text them.

  • Speak in person, not on a call.

  • Burn the pages. Forget the digital trail.

 

 

 If You Have to Say It, Say It With No Echo.

Technical Explanation
Palantir’s models rely on continuous passive collection from microphones, sensors, and IoT devices. If your planning conversations never exist digitally, they cannot be ingested, resolved, or predicted. Cutting the data stream at the source prevents any model-building. In machine learning terms: denying training data eliminates predictive accuracy.

 

 

This is not paranoia. It’s operational discipline for you household.
Palantir and other data models do not need to hack your secrets if you willingly hand them over via casual phone chatter.

 

 

 Make this a rule in your household:

“We never talk real business in a digital world.”

 

Now that we got that out of the way. Let’s get to the deception plan…

1. Disrupt Digital Patterns with False Narratives

What does this mean? Create a digital mirage life.

How to do it:

  • Schedule regular fake texts or emails about events that don’t exist.

  • Invent believable stories: fake jobs, family fights, religious conversions, or moves.

  • Stick to a few consistent but detailed and elaborate lies to build false digital trends over time.

Technical Explanation
Predictive models rely on identifying repeatable behaviors. Injecting scripted false patterns creates low signal-to-noise ratios and non-convergent models. When the system sees contradictory signals over time, it mislabels behavior and deprioritizes your profile.

 

Example:
Every Tuesday, the family pretends to attend a local “Arts and Crafts Club” via group texts. No one leaves the house. Palantir logs a pattern of right-wing or passive-liberal social activity that never existed.

2. Device Swapping & Misuse Tactics

What does this mean? Create a misidentified digital signature.

How to do it:

  • Trade phones with someone else weekly.

  • Let a friend or cousin carry your phone while you stay home.

  • Let the phones travel in places you don’t go to—like a mall, bus, or coffee shop.

Technical Explanation
Palantir depends on entity resolution—tying devices to individuals. Device swapping fragments identities, leading to multiple partial profiles instead of one unified model. This breaks the reliability of graph-based mapping and increases error rates.

 

Example:
A teen gives their “main” phone to a cousin or a friend for the day. That phone ends up at a political rally. Palantir thinks the teen is radicalizing—but they were home studying and vice versa.

3. Burner Phone Protocols

What does this mean? Create a second identity with no traceable link.

How to do it:

  • Buy a burner phone with cash from a trusted individual who bought it (assign a few community members who have no official or traceable relationship to the end users to be the main purchaser who buys the phones for all the end users so the chain of custody is untraceable).

  • Make sure it is kept in a Faraday bag (blocks tracking) from the moment it is purchased from a main outlet (most retail have some form of tracking of who bought it) to the moment you pick it up from the trusted individual you buy it from. 

  • And never take it out of the Faraday bag unless it is far away from your home or any familiar locations that can be tied to you.

  • Keep it away from your main phone that is traced to you. (If at any point those two phones appear active around each other, it will be assumed that the user of one is somehow connected to the other phone.)

  • Never power on both phones in the same location.

Technical Explanation
Entity resolution collapses when two devices never co-occur spatially or temporally. Predictive models can’t link the burner to the real identity without co-location. This creates a disjoint graph where separate identities appear unconnected.



Example:
A mom powers off her regular phone and leaves it by the TV. She travels for a task with her burner phone, which was never tracked leaving the house or appear to have ever been in that house because it is ALWAYS in a Faraday bag until she is far enough away from her phone to remove any suspicion of location association.

4. Home-Based Deception (False Environment Manipulation)

What does this mean? Create a false audio and behavioral profile.

How to do it:

  • Leave your phone near devices playing religious sermons, political talk shows, or scripted voice content.

  • Use voice clips or YouTube videos to simulate fake interests or behavior.

Technical Explanation
Palantir classifies individuals into ideological categories. Contradictory signals force the classifier into low-confidence states, degrading model certainty. This is the equivalent of forcing false positives in supervised classification.

Audio analysis feeds voice and preference data into psychological models. By planting misleading media, you create adversarial inputs that corrupt the feature extraction layer of Palantir’s models, making ideological predictions unreliable.

 

Example:
A dad plays hours of a fire-and-brimstone podcast near his phone while gardening outside. Palantir flags him as a Christian nationalist while he’s planning a union workers strike. 

5. Staged Ideological Confusion

What does this mean? Create a political identity crisis in the data.

How to do it:

  • Have staged arguments about fake beliefs.

  • Search for conflicting political views.

  • Send each other contradicting ideological links and messages.

Technical Explanation
Palantir classifies individuals into ideological categories. Contradictory signals force the classifier into low-confidence states, degrading model certainty. This is the equivalent of forcing false positives in supervised classification.

 

Example:
Two siblings stage a texting debate: one pretends to be a leftist, the other a conservative. Both are just playing roles. The algorithm gets confused and cannot predict future behavior.

6. False Affinity and Deception Theater

What does this mean? Create emotional falsehoods to derail psychological profiling.

How to do it:

  • Send fake romantic messages to accomplices in the ruse.

  • Pretend to be having emotional affairs or breakups.

  • Use role-play to simulate internal turmoil.

Technical Explanation
Palantir uses relationship data to predict emotional stability and intent. Fake affinity creates false edges in the social/emotional graph, leading to wasted computation on relationships that don’t exist. It also destroys accuracy in psychological risk modeling.

 

Example:
A wife texts her husband as if she’s a secret lover from a burner phone from a non-associated location. The phone logs suggest cheating and emotional instability. AI models start building emotional risk profiles that are completely false.

7. Route Deception and Phantom Movement

What does this mean? Create a false map of your movements.

How to do it:

  • Let a friend take your phone to another city or event.

  • Leave your phone in a busy place while you travel without it using a burner.

  • Use multiple route swap-outs.

Technical Explanation
Predictive geolocation models depend on mobility traces. Phantom movement breaks trajectory prediction by creating divergent spatio-temporal patterns. Palantir’s geospatial models degrade when routes don’t align with consistent human behavior.



Example:
A young adult leaves their phone at a friend’s party, then bikes to meet an organizer off-grid. Surveillance thinks they never left the neighborhood.

8. Household Deception Drills

What does this mean? Create a domestic counter-surveillance team.

How to do it:

  • Choose one day a week to cut all electronics (Faraday bag).

  • Rotate who sends deception texts that day.

  • Run practice “ghost days” to drop off the grid.

Technical Explanation
Predictive systems assume continuous availability of data. Blackout days create gaps in the data stream, forcing Palantir to interpolate missing behavior. Gaps reduce accuracy, introduce noise, and mark the profile as unreliable.

Example:
Random days of the week are family ghost days. All phones off. The family hikes a local trail without any digital signal. Palantir loses 24 hours of tracking and starts doubting its data model.

9. Social Web Misguidance

What does this mean? Create a chaotic, untraceable social identity.

How to do it:

  • Join online groups that have nothing in common.

  • Add “friends” with conflicting ideologies.

  • Like, comment, or argue on random posts you don’t believe in with a fake profile that monitors will think is your actual belief system and personality.

Technical Explanation
Palantir maps social graphs. Cross-linking ideologically opposed networks introduces graph noise that prevents clear clustering. This makes community detection algorithms fail, producing incoherent clusters.



Example:
A dad uses an anonymous social media account and joins a sports group, a vegan cooking forum, or a financial hustle Discord. Surveillance can’t label him as part of any predictable social network.

10. Strategic Use of Noise and AI Overload

What does this mean? Create data chaos to jam the model.

How to do it:

  • Send random AI-generated texts to yourself or family.

  • Use voice apps to simulate dozens of fake arguments or calls.

  • Flood your account with messages that contradict your supposed behavior.

Technical Explanation
Palantir’s ingestion pipelines have computational limits. Noise injection consumes storage, compute, and analyst bandwidth. At scale, this is a data poisoning attack that lowers overall accuracy and precision.

Example:
A mom uses AI voice tools to fake 5 different phone calls to herself: one angry, one laughing, one crying, one religious, one conspiracy. The machine logs a mental health crisis, but none of it’s real.

11. Fake Narratives Inside Fake Narratives (Recursive Deception)

What does this mean? Create a rabbit hole that wastes surveillance resources.

Fake Narratives Within Fake Narratives (Layered Deception)

What does this mean? Create a multi-layered web of disinformation that seems suspicious enough to attract attention from surveillance systems—only to mislead them into wasting resources investigating something fake.

How To Do It:

  • Start by planting hints that you are trying to avoid surveillance (e.g., using encrypted apps, changing patterns, or openly using Faraday bags).

  • Make some of these behaviors obvious so that AI surveillance flags your activity as suspicious.

  • Once you’re being watched more closely, feed the system a second layer of fake but “juicy” information that seems highly relevant but is completely fabricated.

  • Create secretive but fake communications that appears to be dependable information because it is being done secretively but in fact it is false

Real-World Example: A mother “accidentally” leaves her phone at a protest rally where it records a scripted fake conversation about organizing a disruptive event. The surveillance system tags the family as a risk. Days later, they send more false data—like a fake meetup plan over secure email (Palantir can monitor secure email systems as well). In reality, no protest is planned, and the real activity is taking place off-grid with no electronics nearby.

Why This Works: AI systems prioritize targets that seem like they’re hiding something. If you feed them well-crafted lies, you can send them down endless rabbit holes chasing ghosts while your real actions go unnoticed.

Bonus Tactic: Change the false narrative every few months. Let the system build a whole fake world around your decoy persona—then shift it. Keep the watchers disoriented.

Long-Term Deception: Develop an ongoing, believable ruse that stretches over months or years. This could be a fictional second life, secret identity, or long-term fake ideology. Maintain digital footprints—emails, chats, GPS patterns—that support it. The longer it goes on, the more trust the system places in it, and the harder it is to detect as false.

Long-Term Example: A teenager builds up a fake online persona as a devoted right-wing ideologue over two years, complete with blog posts under pseudonyms, video commentary, and scripted arguments with friends. Meanwhile, their real organizing efforts are completely invisible because the surveillance AI has bought into the long-term character.

 

 

 

Technical Explanation
Palantir’s triage system prioritizes suspicious signals. Recursive deception weaponizes prioritization bias, forcing analysts onto dead-end leads. This increases false positive workload and diverts resources.

Example:
A teen texts, “I know they’re watching. Let’s meet at the usual place tonight.” A second text reveals “Operation Redwood.” They go nowhere. The AI flags it as suspicious and chases a phantom op for weeks.

12. Long-Term Narrative Deception

What does this mean? Create a fake life history that evolves over time.

How to do it:

  • Commit to a false belief system, lifestyle, or behavior pattern for months or years.

  • Build archives of emails, social media posts, and voice logs that support this false identity.

  • Change roles every few years to reset your profile.

Technical Explanation
Long-term fabricated identities trick models into concept drift, where the system believes in a false baseline. When the profile suddenly shifts, predictive reliability collapses. This wastes years of modeling and reduces system confidence.

Example:
Over a year, a family slowly builds the digital footprint of a fringe religious community. They post messages, send each other prayers, and stage fake crises. None of it is real—but it becomes the core of their digital profile. Then one day, they vanish from that pattern entirely.

 

Deception Cell Networks: Expanding Household-Level Disruption

What does this mean? Create a web of trusted families practicing deception together to overwhelm regional surveillance systems.

While one household practicing Operation Deception can disrupt its own predictive model, a network of families executing coordinated misdirection can cripple an entire region’s surveillance map. This is how ordinary people begin to wage asymmetrical, community-based counter-intelligence warfare.

 

 

 

How to Build a Deception Cell Network

1. Build Your Core Cell (3–5 Households)

  • Choose households with strong trust and shared values.

  • Train together in all 12 deception tactics.

  • Establish codewords and off-grid meeting protocols.

  • Rotate responsibilities (e.g., one family creates ideological confusion this week, another handles route disruption, etc.)

Technical Explanation
Distributed deception scales graph pollution exponentially. Each household becomes a noisy node. Palantir’s clustering algorithms fail at regional scale, producing network model collapse.

Example:
Five families across a neighborhood agree to confuse data every Thursday. One family sends coordinated texts about a fake “anti-tax march,” another simulates internal family drama, and two swap phones while appearing to be in completely different cities.

 

 

2. Create Cross-Household Storylines

  • Share false narratives across phones and emails (e.g., fake business startups, community drama, or a campaign you “don’t trust”).

  • Link deception plots across different households (e.g., family A pretends to fire someone from a fake job, family B pretends to be that person’s new employer).

 

 

 

3. Decentralize, Then Connect Outward

  • Each cell should only know one or two other cells to avoid full exposure if infiltrated.

  • Use physical dead drops (hidden notes, shared books) or burner phone relays to pass new deception instructions between cells.

  • No one family should know the full scope of the network—only their assigned operations.

Example:
Each cell knows a single contact name and a “deception briefing” every 2 weeks. 

 

 

4. Reinforce the Outer Shell (Regional Chaos Layer)

  • Each month, have every family simulate a public ideological shift (e.g., right-wing one month, socialist the next).

  • Coordinate fake conflicts, blog posts, or social media debates that spill into digital space.

  • Ensure all households use different “cover identities.”

 

 

 

5. Rotate and Evolve Every 90 Days

  • Every 3 months, all cells reset their false narrative identities.

  • Swap burner phones.

  • Change pattern scripts, ideological flags, and deception drills.

Example:
In January, your household is pretending to host underground bible studies. By April, you’re simulating arguments about moving to Canada over taxes. Surveillance systems believe you’re unpredictable, unstable, and unreliable—thus deprioritized.



Name

Codename

Role in Deception

Trusted With:

Dad

“Goose”

Burner Comms Ops

Phone swaps, AI jamming, network relay

Mom

“Whisper”

Narrative Driver

False emails, ideological smokescreens

Teen

“Specter”

Geo-Misdirection

Route decoys, fake calls, political confusion

Kid

“Racecar”

Disruption Helper

Sound loops, decoy devices, fake arguments

 

 

Weekly Deception Ops Chart

Day

Primary Tactic

Assigned Person

Notes

Mon

Voice misdirection

Whisper

Sermon loop while out of house

Tues

Geo-deception (phone swap)

Specter

Cousin carries phone downtown

Wed

Burner phone off-grid use

Overwatch

Visit co-op market

Thurs

Social media misdirection

Whisper

Join fake forum

Fri

Ideological confusion texts

Signal

Scripted argument with Specter

Sat

Ghost day (all devices silent)

Entire Family

Nature walk, Faraday bags used

Sun

Deception drill + review

Entire Family

Rotate roles and reset scripts

 

 

Emergency Protocols

In case of known surveillance breach or infiltration:

  •  All phones wiped and rotated

  • Activate 72-hour silence (devices off + stored)

  •  Dead drop message left at pre-designated site

  • Narrative reset (change identities + storylines)

  • Log incident in Family Surveillance Logbook

 

 

Practice Drill Checklist

Silent Day Completed
Faraday Bags Used
Voice Spoof Calls Made
Burner Phone Swapped
  False Narrative Sustained for 1+ Week
“Discovery” Script Rehearsed (e.g. fake panic when “being watched”)
  Deception Cell Neighbor Contacted

 

 

Guiding Philosophy

“We do not hide from the machine.
We feed it poison until it breaks.”

 

Use of Air-Gapped or Physically Disabled Laptops

What does this mean? Create a fully isolated computing environment for sensitive work.

How to do it:

  • Use a laptop with all transmitters physically removed: Wi-Fi, Bluetooth, cellular, NFC.

  • Never connect the device to the internet. Only use for document writing, encryption, or offline data storage.

  • Transfer files using write-once media (like burned DVDs) or secure sneakernet methods.

Technical Explanation
Palantir thrives on data exfiltration from connected devices. A laptop with its radios physically destroyed is an air-gapped system—meaning it cannot send or receive signals. This denies Palantir real-time telemetry, keylogging, and remote access vectors. In ML terms, it creates a hard feature vacuum where no behavioral data exists to be modeled.

Example: A family uses a hardened laptop to draft organizational notes offline. The notes are printed and stored physically. No digital traces enter Palantir’s ingest pipelines.

 

 

Final Insight: The Power of the Web Is Its Misdirection

 

Palantir and similar systems depend on:

  • Stable identities

  • Predictable social graphs

  • Long-term behavioral consistency

By disorganizing your perceived life—and working with others to create cross-connected chaos—you burn out the machine’s ability to label you at scale.

 

 

One family is noise.
Ten families are interference.
Fifty families are invisibility.
A million families are a nightmare for any big brother.

 

 

 

Facial & Voice Recognition Countermeasures + Swap-Identity Days

What does this mean? Create a scrambled biometric identity that cannot be reliably tracked by artificial intelligence, while strengthening community bonds through trust-based deception exercises.

Palantir and similar systems use voiceprints and facial recognition to follow you, catalog you, and predict your actions. These technologies collect biometric data from:

  • Street and traffic cameras

  • Smartphones and smart TVs

  • Video calls, audio messages, even background speech

  • Social media footage or livestreams

  • Public events and retail spaces

Once they capture your face geometry and voiceprint, they can:

  • Track your presence across time and space

  • Determine your emotional state, ideology, social circle, and speech patterns

  • Anticipate your behavior and political leanings

  • Build simulations of your life for control and influence

But these systems break down when identities become inconsistent, unpredictable, or swapped entirely.

 

 

FACIAL RECOGNITION DISRUPTION

Low-Tech Masking Options

  • Use sunglasses, hats, patterned scarves, or bandanas

  • Wear facial jewelry, makeup distortion, or stickers

  • Grow/change facial hair regularly

  • Use face masking stickers on glasses or skin to interfere with facial landmarks

High-Interference Options

  • IR Reflective makeup that confuses NIR Active Illumination

  • Reflective or IR-deflecting glasses (disrupt night vision cams)

  • Thermally-distorting materials in scarves or hoodies

  • DIY masks with subtle 3D shapes or patterns that confuse depth mapping

 

 

VOICEPRINT DISRUPTION

Disruption Tactics (When trying to avoid surveillance) 

  • Avoid speaking around electronics when possible

  • Whisper or mumble around smart devices

  • Use background noise: running water, TV static, music, fans

  • Code-switch between accents or slang

  • Use AI voice-changers or soundboard clips when calling from compromised lines

Advanced Tricks

  • Play looped pre-recordings of different people arguing or making noise when electronics are nearby

  • Leave devices near AI bots or voice emulators arguing with each other to flood the system with nonsense

  • Swap phone usage among trusted people to scatter voiceprint mapping

Example:

Your teen speaks softly around smart speakers but shouts in a British accent when on camera at school. Their voice profile splits into multiple categories inside the AI model.

 

 

SWAP-IDENTITY DAYS

What does this mean? Create a coordinated community deception ritual that rotates identities, roles, devices, and routines among multiple households.

This does two things:

  1. Overloads surveillance networks with false correlations

  2. Builds radical trust and cohesion in your neighborhood

How It Works:

On predetermined days (weekly, monthly, or surprise):

  • You and a trusted household swap roles for the day

  • You drive their car, wear their style, use their phone

  • They attend events you normally would (and vice versa)

  • You adopt their voice mannerisms or favorite phrases

  • You simulate each other’s behaviors digitally (texts, posts, searches)

What You Can Swap:

  • Phones

  • Vehicles

  • Outfits & style

  • Hobbies (e.g., one person joins the other’s church group or book club)

  • Voice commands around smart devices

  • Locations (use each other’s addresses for orders or deliveries)

 

 

Example:

  • Jamal and Trevor agree to swap for a Saturday.

  • Jamal drives Trevor’s truck to the farmer’s market, using Trevor’s burner phone and wearing his signature vest and ballcap.

  • Meanwhile, Trevor attends Jamal’s activist meeting and uses Jamal’s phone to send texts about home repair projects.

  • Surveillance systems get completely mismatched biometric and behavioral data.

 

 

Over Time: Fragment the Profile, Break the System

With enough variation, AI systems lose the ability to:

  • Confirm identity from voice or face

  • Predict where you’ll go or what you’ll do

  • Trust that what they’re watching is even real

This is how communities become unreadable, ungovernable, and uncontrollable.

 

 

Bonus Outcome: Stronger Bonds

Swap-Identity Days aren’t just tactical—they build:

  • Trust between neighbors

  • Shared responsibility for protection

  • A deeper sense of unity and teamwork

  • A culture of joyful resistance

This is counter-surveillance with soul—where communities learn to love one another through coordinated confusion.

 

 

“When they try to read our faces,
we give them ten to choose from.
When they listen for our voice,
we echo each other instead.”

 

Financial Deception Tactics: Scrambling the Economic Profile

What does this mean?

Create a false trail of financial activity that clouds your real intentions, disrupts economic profiling, and scrambles predictive algorithms.

 

 

Why Financial Activity Is Monitored

Your financial data is one of the most powerful tools used by corporate-state surveillance systems.
From grocery stores to Venmo, Palantir and similar tools track:

  • What you buy

  • Who you pay or receive money from

  • How often you spend

  • Where you spend

  • The pattern of your life in dollar form

This data is fed into behavioral AI models that try to predict:

  • Political leaning

  • Ideological group

  • Risk level

  • Health status

  • Relationship ties

  • Potential for rebellion

Financial surveillance is behavioral profiling.
So the solution is to feed the machine fake behavior.

 

 

Tactics to Confuse Financial Surveillance

1. Phantom Transfers

Send money back and forth between accounts (yours or trusted others) for no logical reason.

How to do it:

  • Set up secondary bank accounts (or use family/friend accounts)

  • Transfer odd amounts: $18.46, $92.11, $7.77

  • Add strange notes: “Parrot rental fee,” “Laser harmonica fund,” “Debts paid in blood”

Effect: Creates transaction data that implies a false lifestyle, false business, or bizarre habits.

 

 

2. Fake Emergencies or Events

Make purchases or transfers as if preparing for something that isn’t happening.

How to do it:

  • Send money to a relative labeled “hospital gas fund” when no hospital trip exists

  • Buy emergency goods and return them

  • Create event-related transactions (food deposits, ticket fees, venue “donation”)

Effect: Triggers false behavioral flags in AI systems, leading analysts to waste resources tracking a fake scenario.

 

 

3. Obscure Peer-to-Peer Transfers

Use Venmo, Cash App, or PayPal with completely fake or misleading tags.

How to do it:

  • Send $7 with “Florida Llama Tax”

  • Receive $11 with “Zionist Bug Detectors”

  • Construct a sequence of money transfers that tells a completely false story

Effect: Confuses the social and ideological mapping done by surveillance platforms based on financial narratives.

 

 

4. Staggered Microtransactions

Make lots of tiny purchases or money moves on irregular days, with irregular timing.

How to do it:

  • Buy $3.44 of gas twice in a row

  • Withdraw $4.97 in cash three days in a row

  • Deposit $7.77, then $15.42, then $0.01

Effect: Disrupts financial behavior modeling systems that rely on regularity and pattern recognition.

 

 

5. Shared Expense Spoofing

Exchange money between community members as if buying or selling things—when no sale occurred.

How to do it:

  • Trade $30 for “repair labor” that was never done

  • Send money for “bike parts” that don’t exist

  • Rotate this role across the community to mimic a working barter economy that doesn’t match reality

Effect: Creates a fabricated economic network that misrepresents your community’s structure and goals.

 

 

6. ATM Behavioral Decoys

Use ATMs strategically to fake travel, lifestyle, or habits.

How to do it:

  • Withdraw cash from an ATM far from home, then give it to someone else to spend

  • Deposit cash at multiple machines across town to build a false route

  • Use ATMs in high-end or low-income neighborhoods to confuse income profiling

Effect: Misleads systems about your geography, lifestyle, or status.

 

 

What This Accomplishes

By scrambling your financial footprint:

  • Your spending doesn’t make sense

  • Your relationships appear erratic

  • Your priorities seem contradictory

  • Your economic ideology becomes unreadable

Palantir’s predictive tools need patterns. You give them chaos.

 

 

Financial Deception as Community Art

This can become a coordinated exercise:

  • Families simulate fake debt cycles

  • Neighbors pay each other for imaginary services

  • Churches or mutual aid groups simulate economic ecosystems that mislead outside analysts

Every time you move a dollar for a fake reason, you sabotage the surveillance economy.

 

 

Their system turns money into chains.
So we turn their ledgers into riddles.




Blind the Beast: Escalated Threat Protocol

When a community has determined that their safety is compromised by installed sensors or monitoring devices controlled by a hostile force, it must be a community effort to disable all monitoring systems that may be connected with a compromised central system of surveillance.

Final Words: This Is Asymmetrical Patriotism

Palantir's system is built to control and forecast predictable, docile, obedient people. If you and your family refuse to be predictable, refuse to be mapped, and refuse to be categorized, their machine starts to break down.

This isn’t about hiding. It’s about reclaiming your autonomy in a world where data is used as a weapon.

Disrupt the data. Break the model. Scramble the machine.

You are not their asset. You are your own algorithm.

 

 

All power to the people. Chaos is freedom. And freedom begins when the enemy is confused.