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Since 2013, mobile devices are now the primary focus, with smartphones constantly emitting signals to cell towers even when idle. These signals contain unique identifiers like IMEI and IMSI, allowing tracking of a user's movements. Companies store this data for unknown purposes, leading to privacy concerns and mass surveillance through bulk collection.

Speaker 0: Facial recognition will be used to unlock your digital identity, which is going to be a tool of control for the agendas that are coming down the pipeline. Elements of that control are already with us. Alexa, good morning. Good morning. You are never alone in your home, and this is why. All your devices at home and all smart appliances, they are all connected on a wireless network. Many of these devices will have cameras, many will have microphones, and so they are monitoring everything all the time. Your smart appliances are communicating with the smart meter and sending it real time usage data. If there is a Ring camera also in your home, a mesh network is formed and all your devices are being tracked within the home, its location, its usage and all the data is going to Amazon's servers. When you leave your home, all modern vehicles are connected to the Internet, so your automobile is being tracked all the time. When you are going under a string of smart LED poles and smart LED lights on the highway and in the streets of your towns and cities, those form a wireless network and are tracking your vehicle. They are tracking all the devices on you from smartphones to smartwatches when you're walking on the streets. So data is being collected twenty four seven continuously on every human being whenever you are within these wireless networks. Speaker 1: And it's obviously not good for health also because of all the electromagnetic radiation. Speaker 0: In the long term, the plan is to pretty much lock up humanity in smart cities, which is kind of a super set of a fifteen minute city. Speaker 1: They've sold all the state and local governments and countries that smart cities are about sustainability and the good of the city. But in reality, the language from the UN and WEF and their white papers is all inverted. So their monitoring is really about limiting mobility and no car ownership. Right? Surveillance control via LED grid is why the smart lighting is death. Water management is about water rationing. Noise pollution is about speed surveillance. Traffic monitoring is about limiting mobility. And then, of course, energy conservation is all about rationing heat, electricity, and gasoline. Another concept one should be familiar with is called geofencing, and that's think of it as an invisible fence around you where you cannot go beyond a certain point, and that'll be related to your face recognition, digital identity, and access control. Your smart contracts, Softbrick can turn off your digital currency beyond a certain point from your house. Our world has been turned into a digital panopticon. Speaker 0: That means you can be monitored, analyzed, managed and monetized.

They used a camera and radio signals to predict people's locations. After removing the camera, AI used only radio signals to reconstruct real-time 3D pose estimation, essentially turning WiFi routers into night vision cameras for tracking living beings.

A data broker tracked visitors to Jeffrey Epstein's island using cell phone data, revealing their movements from various locations to the island. The data showed visitors' origins in multiple US cities and other countries. Near Intelligence sources its data from advertising exchanges, which can be used for mass surveillance. While this data raises privacy concerns, individuals can protect themselves by using trusted apps, turning off location services, using ad blockers, or employing VPNs that filter out advertising technology.

The records Joe Gebbia was trying to digitize were stored at Iron Mountain, about an hour north of Pittsburgh, in Boyers, Pennsylvania, where there is a limestone mine 220 feet underground. Since 1960, the federal government has used the mine as a retirement office. The Office of Personnel Management (OPM) keeps about 450 employees working down there full-time alongside 26,000 file cabinets holding over 400 million paper records. The site processes about 10,000 federal retirements every month by hand. A key point discussed is that the issue is not that technology has failed to digitize the records. Every administration since Reagan has tried to digitize the records, and the attempts failed for multiple reasons. The transcript says that doing it correctly, lawfully and with the Federal Office of Personnel’s required legal protections, is very expensive and politically contentious. It also claims that physical paperwork in a mine has a different level of protection than digitized paperwork. The transcript then describes a strategy attributed to Joe Gebbia and his team at Doge: they began moving the records onto the digital infrastructure controlled by the White House. Rather than digitizing under legal guardrails, the transcript says they worked around the legal guardrails and “called it a day.” The speaker describes an investigation into what Gebbia was doing with National Design Studio, saying they ran into roadblocks when trying to follow the money. The transcript states that the work appears to be done “off the books,” with no contracts on USAspending, the office not registered on SAM.gov as a federal procurement entity, and National Design Studio not technically existing. When the speaker could not follow money, they say they followed the data instead, arguing that data leaves residual traces. The transcript then connects this approach to what Larry Ellison’s company was doing over the prior decade. It describes Oracle running a network of tracking tools embedded across the internet to build “digital dossiers,” files containing very sensitive information about people, including where they lived, where they banked, what they bought, and political views, race, and other information. It says Ellison publicly claimed in 2015 that Oracle had dossiers on roughly 5 billion people. The transcript adds that Oracle was sued in federal court in 2022 for building those files without consent, and that in July 2024 Oracle settled for $115 million and shut the entire operation down. The transcript concludes by stating that five months after Oracle’s dossier operation ended, Joe Gebbia joined Doge in the White House.

Speaker 0 argues that a Mussolini-quote about fascism being corporatism explains today’s emerging fascist state in America, describing a system where the government merges with corporate power. He notes a prior report on digital ID deployment by private companies with customer consent, claiming the government can collect and utilize data under legal immunity while avoiding a mandate on biometric ID. He asserts that, as during COVID, individuals can choose to consent or “leave the reservation” to fend for themselves. He introduces the idea that the social credit score is actively deployed in the US. Speaker 1 shares a personal experience about ordering food on Uber Eats and noticing an algorithm determining prices based on personal data, prompting reflection on how pricing works. Speaker 0 explains that Communist China’s social credit system, launched in 2014 to “build trust in society by punishing individual behavior,” allows banks to shut off money and restrict travel, enabling the government to condition behavior individually. He claims this is now being deployed in the United States as algorithmic pricing, using automated programs to dynamically set the price of goods and services in real time and on an individual basis. The algorithms rely on large amounts of data, including customer behavior, and can charge one individual more than another for the same product based on willingness to pay and personal data. He asserts that the social credit score is present across the US, and the New York Algorithmic Pricing Disclosure Act (launched 11/10/2025) compels private corporations to notify consumers that they are being charged based on personalized algorithmic pricing. The law defines personal data as any data that identifies or could be linked to a specific consumer or device, regardless of whether the data was voluntarily provided. He says this makes every aspect of life usable to determine pricing, calling the act the first of its kind and predicting expansion to all 50 states. He concludes that the social credit score is real in America and suggests a carbon tax is soon to follow. He also mentions an “AI run cryptocurrency economy” as the United States government’s and big banks’ chosen solution in response to debt and AI competition. Speaker 2 presents a scenario for 2027: special economic zones with zero red tape, with government intervention to accelerate progress. Speaker 3 adds that the promise of vast gains could attract governments to these zones despite protests from workers who would lose jobs and rely on universal basic income, suggesting trillions in new wealth as a compelling incentive. He notes the ongoing arms race with China and the ease with which forecasts could influence presidential decisions, especially when contrasted with regulatory delays. Speaker 0 closes with attribution to Greg Reese.

Your phone is not just a phone. It is the result of research that captures your attention, creating a power imbalance where you are unaware that you are being constantly monitored. They gather maximum information about you, surveilling you 24/7. In return, they know you so well that they can not only predict things about you but also manipulate your behavior. The internet of things will do the same.

Infinite Scroll was designed to mimic a slot machine. You pull down and new content loads just like spinning reels. Each swipe is a random reward, giving you that dopamine hit, and then you do it again. Casinos limit spins to keep you in check. Social media, no limits, no clocks, no windows, just an endless feed. You're not scrolling through content. You're being scrolled through. Welcome to the casino of the mind. You think you're in control, but you're just a player in a game designed to keep you hooked. And the worst part, you never even cashed in.

The discussion centers on the main payments system, referred to as PAM, described as the “payments computer” and commonly called PAM by everyone. PAM is responsible for almost $5,000,000,000,000 in payments per year, which equates to roughly a billion dollars every hour. The speakers indicate that, upon their arrival, they observed what they describe as a severe lack of payment metadata: payments could be processed with no payment categorization code and no description, effectively creating payments that were “untraceable blank checks.” The speakers contrast this situation with how such conduct would be viewed in the private sector, stating that if this were a public company, the company would be immediately delisted and the executive team would be thrown in prison. They emphasize that, in the context they are discussing, this kind of exposure is considered normal within the government. The overall point is that the payments system operates with extremely little traceability or descriptive data attached to transactions, creating a scenario they characterize as highly problematic and unacceptable in the private sector but commonplace in the government.

At Walmart, this new thing: "This is some kind of this is some kind of tracker." It "helps them understand what products that you're buying" because "then they can see what products you stopped to look at in the store." And then they have a "three d digital map" that shows "how many seconds you stood standing in front of this product display or this product display." And then they can "engage your active user feedback and find out what product they're selling," and they can also "find out where their carts went." If they get lost in that world, they can "track them with the tracker." So crazy.

Experiment. 400 people, same moments, same grocery stores, same items. Some paid $4.69 for eights. Some paid $4.28. Wheat thins, four different prices. Peanut butter, three different prices. An algorithm decided who pays more. So how did they decide who pays what? It's watching everything you do, what you search for, what you browse online, what you buy, when you buy it. It builds a profile, and then it calculates what's the most this person will pay. It's called surveillance pricing. Corporations using your data to charge you the maximum amount they think you'll pay. Here's how they did it. Companies like Instacart bought a firm called Eversight. Every time you buy canola oil, they're testing. Can we charge you 10¢ more? 20¢ more? What's the maximum before you notice? They call it AI for everyday price performance, and they promise grocery stores two to 5% profit increases. Translation, they squeeze millions of dollars out of you, one bag of beans at a time. And it's not just online. Walmart is lobbying to expand surveillance pricing to physical stores, electronic shelf labels with digital price tags. Tech giants want you to believe you can opt out of that, but you can't opt out of groceries, and they know that. And look, this isn't just about groceries. An Uber driver analyzed a 159 identical rides. Same route, same driver, same car. Some passengers paid $80, others $2.50. Your rent? Landlords are already doing this. The competition bureau investigated. Restaurants, flights, hotels, if it can track you, it can charge you more. Wab Kanu's NDP government saw this coming, so they banned it. Here in Manitoba, we've got a bill to ban predatory pricing. First province in Canada. And what's Doug Ford doing about any of this? Is this something that your government would be open to banning here in Ontario? No. I'm introducing a motion to ban predatory pricing in Ontario. Doug Ford should put his money where his mouth is and protect you from the American tech giants and corporations that are ripping you off. Go to this link and

About 30 million Americans use the navigation app Waze, founded by three former IDF 8200 members. The transcript claims Waze’s data—navigation data and “all their data about them”—is stored in a “blue and white” country, specifically Tel Aviv. A creator (tagged below) reviewed Waze’s terms and services, noting Waze is operated out of Tel Aviv. The transcript highlights a jurisdiction clause stating the terms and services are subject to the exclusive jurisdiction of the competent court in the Tel Aviv district in the “blue and white” country. The transcript connects these findings to Google’s acquisition of Waze in 2013 for $1.3 billion, describing Google as California-based while asserting the corporate structure places Americans’ legal recourse in Tel Aviv. It claims that under the acquisition agreement, the team and Americans’ data could remain in Tel Aviv, and that if Americans have a problem, they would need to fly there to pursue legal action. The transcript further claims Waze’s legal process does not include juries, class action lawsuits are not possible, and that only 0.22% of people read the terms of service, suggesting most users would not notice the jurisdiction arrangement. It also describes the type of data held by Waze as extensive: home address, routes, family members, and the ability to connect with people. It frames Waze as a “social media GPS” application that can show traffic and the most traveled routes “for certain people.” The speaker concludes that, because the data and legal jurisdiction are located in Tel Aviv, users should delete Waze, empty their data, and look at other apps. The transcript attributes the initial discovery to the creator who highlighted the terms and services and urges viewers to stay tuned for further investigation.

We are announcing the largest multistate privacy settlement in US history. Many of us have experienced targeted ads after browsing in stores, like seeing vacuum cleaner ads after looking at them in a store. Despite turning off location history and having it set to off by default, Google continued to collect precise location data. This was happening through another setting called web and app activity, which is enabled by default.

A data broker, Near Intelligence, with ties to US Defense Contractors, tracked cell phones of visitors to Jeffrey Epstein's island over a three-year period. We found that Near Intelligence left this data exposed online. The maps generated show visitors' movements, potentially leading back to their homes and workplaces. The data reveals visitors came from over 166 locations in the US and abroad. Near Intelligence sources data from advertising exchanges. Before a targeted ad appears, your phone sends data, including location, to ad exchanges. Near Intelligence siphons this data, repackages, analyzes, and sells it. Despite its intended use for advertising, Near Intelligence has provided this data to the US military. Anyone with a phone can be tracked. To protect your privacy, use trusted apps, turn off location services, use ad blockers, and use VPNs that filter out advertising technology.

Speaker 0 breaks a little bit of news on your program, Jesse. He reports that 'our partners that do sort of geotagging with devices, they told us that they tracked over 277,000 devices in the vicinity of State Farm Stadium in Glendale, Arizona.' He adds, 'Wow. 277,000. That's unbelievable.' He concludes, 'Gives you an idea of the scale of humanity out there.' These statements illustrate the large number of devices detected near a major venue, highlighting the scale of activity in the area during events. The segment emphasizes the reach of geotagging data and public disclosure in reporting near real-time device counts. It conveys a perspective on how many devices can be tracked in a single location.

A data broker tracked cell phones of visitors to Jeffrey Epstein's island, exposing their data online. Near Intelligence, linked to US defense contractors, meticulously monitored visitors' movements over 3 years. The data revealed locations in the US and other countries. Near Intelligence sources data from advertising exchanges, selling it for targeted ads and possibly to the military. This highlights the potential for mass surveillance through ad tech. While smartphone users can be tracked, steps like using trusted apps, disabling location services, and using VPNs can help protect privacy.