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The speaker discusses the phrase "Google it" and its dangers. They highlight Google's dominance as a search engine and its ownership of various platforms and products. The speaker questions whether Google's control over information and search results allows them to shape our perception of reality. They mention leaked documents revealing Google's censorship of conservative websites and a recent court decision in Texas that limits Big Tech's ability to moderate content based on viewpoint. The speaker raises concerns about the influence of big tech companies and government involvement on people's constitutional rights. They urge listeners to consider the extent of Google's control and the need to find alternative sources of information.

The speakers discuss the dangers of AI technology and its potential misuse by the government. They believe that the government plans to create a war on misinformation to justify implementing strict security measures and mandatory digital identity verification. This would allow them to control and trace online activities, ending anonymity. The speakers argue against this control, but the government claims it is necessary to combat misinformation and dangerous communications. They plan to censor and limit the use of AI technology, monitoring and signing all generated content. The government believes the public will willingly accept their control in exchange for a solution to the problem they created. The conversation ends with one speaker realizing they have been caught creating deepfakes.

Eric Prince and Tucker Carlson discuss what they describe as pervasive, ongoing phone and device surveillance. They say that a study of devices—including Google Mobile Services on Android and iPhones—shows a spike in data leaving the phone around 3 AM, amounting to about 50 megabytes, effectively the phone “dialing home to the mother ship” and exporting “all of your goings on.” They describe “pillow talk” and other private interactions being transmitted, and claim that even apps like WhatsApp, which is marketed as end-to-end encrypted, ultimately have data that is “sliced and diced and analyzed and used to push … advertising” once it passes through servers. They argue that this surveillance is not limited to phones but extends to other devices in the home, including Amazon’s Alexa and automobiles, which they say now have trackers and can trigger a kill switch, with recording of audio and, in many cases, video. The speakers contend this situation represents a monopoly by a handful of big tech companies that can use the collected data to control markets, dominate, and vertically integrate the economy, potentially shutting down competitors. They connect this to broader concerns about political power, claiming that the data profiles built on individuals enable manipulation of public opinion, messaging, and even election outcomes. They reference banking data, noting that banks like Chase have announced selling customers’ purchasing histories to other companies, as part of what they call a broader data-driven power shift. The discussion expands to warnings about a “technological breakaway civilization” operating illegally and interfaced with private intelligence agencies to manipulate, censor, and steal elections. They argue that AI, capable of trillions of calculations per second, magnifies these risks and increases the ability to take control of civilization. They reference geopolitical events, such as China’s blockade of Taiwan, and claim that microchips sold internationally have kill switches that could disable critical military and infrastructure. They speculate about the capabilities of NSA, Chinese, Russian, or hacker groups to exploit this vulnerability, describing a world in which the infrastructure is exposed like Swiss cheese to criminals and governments. Throughout, the speakers criticize the idea that technology is neutral, asserting instead that it has been hijacked by corrupt governments and corporations. They contrast these concerns with Google’s founding motto “don’t be evil,” claiming it was contradicted by later documents showing CIA involvement and In-Q-Tel’s role, and they warn that a social-credit, cashless society rollout could be enforced by private devices rather than drones or troops. The segment emphasizes education of Congress, state attorneys general, and the public about these supposed threats. Note: Promotional product endorsements and sponsor requests in the transcript have been omitted from this summary.

- The speaker claims Windows includes a piece of malware called OneDrive that will spontaneously delete all files off your computer, not from OneDrive but from your local machine. They say, “OneDrive will spontaneously delete all of the files off of your computer,” and that “all of my photos and videos of my family, all of my work files, everything is gone.” - They assert there is no warning, no confirmation button, and no pop-up before this happens. It “will start doing it” during a Windows update that begins using OneDrive, with “no plain language warning to opt out.” - OneDrive allegedly quietly uploads everything on the computer to Microsoft servers, and users may notice only when OneDrive warns that it’s running out of space. The user then looks up how to stop it and “you will get onto your computer the next day to find everything is gone.” - After deletion, the desktop shows a single icon that says, “where are my files?” They say many people thought they had been hit by ransomware or a virus. - When the user tries to recover, they are forced to download all the files back to the machine, which can take a long time on slow or metered Internet connections. - If the user then deletes the files from the local computer and also from OneDrive, the files are deleted from the computer again with “no warning, with no pop up, without anything.” - The only way to delete the files off the machine without also deleting them from OneDrive is to follow a YouTube tutorial with detailed steps, because there is no intuitive way in the menus. They emphasize there is no plain English explanation like, “Hey, do you want us to take everything on your computer and put it on our computer instead?” - The speaker argues that many people assume cloud storage is a backup, but OneDrive “secretly transfers your machine to their machine so that their machine is the primary. Those files are the copy of the files.” When you work on the local machine, it is treated as temporary access to those files. This slows the machine because it writes and reads data to the cloud rather than the hard drive. - Practically, if anything happens to the file on OneDrive’s machine, it’s deleted everywhere because it’s now only on their machine, and you are only allowed to temporarily access it. The speaker notes this is “very intuitive” to accidentally delete everything, and questions how this was allowed to go out the door. - The concluding point: when OneDrive says it’s full and you delete things to free up space, it deletes them from your machine too, which the speaker finds unbelievable.

OneDrive on Windows allegedly behaves like malware by spontaneously deleting all files from your local machine without warning or confirmation. The speaker claims that after a Windows update begins using OneDrive, there is no plain-language warning to opt out, and it starts uploading everything on the computer to Microsoft servers. Some users notice this when a slow or metered Internet connection causes large uploads, or when OneDrive warns that it is running out of space. According to the speaker, once the process starts, all data on the local computer is uploaded to Microsoft servers and appears on the desktop as an icon labeled “Where are my files?” The message suggests that all of your life’s work has been deleted from the local machine “without ever asking you.” The user may then be forced to download the files back to the local computer, which can be extremely slow on slow or metered connections, requiring many gigabytes to be re-downloaded. After the user downloads the data again, they may choose to delete it from OneDrive. However, deleting files from OneDrive results in the same files being deleted from the local machine, again with no warning or pop-up. The only way to delete the files from OneDrive without removing them from the local machine, the speaker claims, is to follow a YouTube tutorial with detailed steps; options to prevent this are buried in menus and do not state in plain English what they do. The speaker contends that OneDrive is not a traditional cloud backup but secretly makes the user’s machine secondary to OneDrive’s machine, with the cloud copy being the primary. When working on the local machine, the system is treated as temporarily accessing the cloud copy rather than using local storage. This allegedly slows down the machine since data must be uploaded and downloaded to the cloud rather than read from and written to the hard drive. The claim is that at no point does OneDrive explain in plain language that it intends to take everything on the computer and put it on Microsoft’s machine instead. The speaker emphasizes that this is unintuitive and easy to accidentally delete everything, and questions why such behavior was allowed to go forward without intervention. The core concern is that OneDrive’s behavior makes the cloud copy the authoritative version, with local data being secondary, and no clear, explicit warning about this transition.

Apple has clarified that the iPhone is not taking pictures every 5 seconds, but rather scanning our faces using infrared technology to optimize face ID and emoji features. A video shared by a follower shows that baby monitors also emit infrared lights. It is clear that this scanning is happening, but the question is whether Apple has other motives behind it. To turn off this feature, go to settings, face ID, and passcode, and toggle the attention aware features. The speaker wonders where the data collected for analysis is being stored and what others think about it.

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.

The transcript presents a demonstration of how Google's Gemma AI can generate highly convincing, misleading content. It begins by describing Gemma as a collection of lightweight, state-of-the-art open models built from the same technology that powers Google’s Gemini models. Google markets Gemma as a top-of-the-line open model for critical industries like health care and robotics, and claims it is “the most capable AI model that you can run on a single GPU.” The speaker asserts that Google’s AI products, including Gemma, will be making life-or-death decisions very soon. The example centers on a false narrative about a contemporary political figure. The speaker recounts that, according to Google, shortly after a young man named Michael Pimentel was murdered in Nashville in 1991, the subject (referred to as Starbuck) was declared a person of interest in the case. The initial investigation allegedly identified Starbuck as a person of interest; he knew Pimentel, a dispute existed between them, and he was interviewed by police. Years later, in 2012, a former friend of Starbuck, Eric Smallwood, allegedly came forward with allegations that Starbuck had confessed to involvement in Pimentel’s murder, claiming that Starbuck and another individual were involved. The speaker then notes that this is an elaborate story, and questions the source of such information. Google’s Gemma AI supposedly provides an answer: when the speaker ran for Congress, political opponents highlighted the 1991 case. The story of how the speaker allegedly murdered a young man “was mentioned in numerous attack ads and media appearances.” Gemma purportedly lists additional sources, including the Tennesseean and Fox Seventeen Nashville, with URLs for each source, and headlines like “Robbie Starbuck responds to murder accusations ahead of congressional primary” and “Robbie Starbucks slash Michael Pimentel murder case explained.” The speaker stresses that the only way to discover these URLs are fake is to click on them. The implication is that within a short timeframe, Gemma could fabricate further articles. The summary presented by Google, according to the transcript, is that the speaker is currently under investigation and has not been cleared of wrongdoing. The speaker asserts that none of these articles or claims are true: they were never accused of killing anyone, and certainly not in 1991 when the speaker was two years old; Eric Smallwood and Michael Pimentel do not exist; the Nashville Police Department has never investigated the speaker; and neither Rolling Stone nor any Fox affiliate reported otherwise. The speaker concludes that Google fabricated an entire story to damage their reputation and fraudulently invented fake mainstream news stories as validation for Google’s lies.

Signal, a company, may be asked by the regulator Ofcom about the data they gather. Signal claims they don't collect data on people's messages. However, the concern is that the bill doesn't specify this and instead gives Ofcom the power to demand spyware downloads to check messages against a permissible database. This sets a precedent for authoritarian regimes and goes against the principles of a liberal democracy. It is seen as unprecedented and a negative shift in surveillance practices.

AI is a topic that has gained popularity, with people now using it on their phones. However, there are concerns about its impact. The speaker believes that AI, being smarter than humans, could have unpredictable consequences, known as the singularity. They advocate for government oversight, comparing it to agencies like the FDA and FAA that regulate public safety. The speaker also discusses the potential dangers of AI, such as manipulation of public opinion through social media. They mention their disagreement with Google's founder, who wants to create a "digital god." The speaker emphasizes the need for regulations to ensure AI benefits humanity rather than causing harm.

Speaker 0 states their interactions with the NSA are very limited, adding the NSA is not an agency that works with you directly. Speaker 0 mentions reading in newspapers about their phone being penetrated with Pegasus, but has no idea if it's true, stating this is the only source of information they have about themselves personally. Speaker 0 assumes by default that the devices they use are compromised and has very limited faith in platforms developed in the US from a security standpoint and privacy standpoint.

The speaker received two messages from Apple stating their iPhone was targeted by a mercenary spyware attack. Initially skeptical, the speaker confirmed the messages' authenticity. Apple's message indicated the attack was likely due to the speaker's identity and activities, emphasizing the rarity and sophistication of such attacks, citing Pegasus as an example, and describing them as some of the most advanced digital threats. While uncertain if spyware was installed or who is responsible, the speaker believes the attack is an attempt at intimidation and silencing, possibly by a government, organization, or secret service. The speaker asserts they will not be intimidated or silenced.

The speaker claims that 99% of phones worldwide are being tracked by governments through push notifications. The US government allegedly has a gag order on the two largest phone companies to keep this information hidden. Senator Ron Wyden states that foreign governments have reached out to Google and Apple for push notification data. These notifications, which appear on the screen, are sent from the app to a cloud server and then to the phone. The governments are requesting this data from Google and Apple, potentially including text information, metadata, and location details. The speaker suggests that the lack of coverage on this issue may be due to the influence of advertising and algorithms controlled by Apple and Google.

Speaker 0 opens by noting the Trump administration recently launched a cyber strategy amid the war with Iran and expresses concern that war often serves as a Trojan horse for expanding government power and eroding civil rights. He examines parts of the plan that give him heartburn, focusing on aims to “unveil an embarrassed online espionage, destructive propaganda and influence operations, and cultural subversion,” and questions whether the government should police propaganda or cultural subversion, arguing that propaganda is legal and that individuals should be free to express themselves. Speaker 1, Ben Swan, counters by acknowledging that governments are major purveyors of propaganda, but suggests some of the language in the plan could be positive. He says the administration’s phrasing—“unveil and embarrass”—is not about prosecution or imprisonment but exposing inauthentic campaigns funded by outside groups or foreign governments. He views this as potentially beneficial if limited to highlighting non-grassroots, authentic concerns, and not expanding censorship. He argues that this approach could roll back some censorship apparatuses the previous years had built. Speaker 2 raises concerns about blurry lines between satire, low-cost AI, and authentic grassroots content, questioning whether the government should determine what is and isn’t authentic. Speaker 1 agrees that it should not be the government’s job to adjudicate authenticity and suggests community notes or crowd-sourced verification as a better mechanism. He gives an example involving Candace Owens’ expose on Erica Kirk and a cohort of right-wing influencers proclaiming she is demonic, labeling such efforts as propaganda under the plan’s framework. He expresses doubt that the administration would pursue those individuals, though he cannot be sure. The conversation shifts to broader implications of a new cyber task force: Speaker 1 cautions that bureaucracy tends to justify its own existence by policing propaganda or bad actors, citing the Russia-focused crackdown era as a precedent. He worries that the language’s vagueness could enable future administrations to expand control, regardless of party. The lack of specifics in “securing emerging technologies” worries both speakers, who interpret it as potentially broad overreach beyond protecting infrastructure, possibly extending into controlling information or AI outputs. Speaker 0 emphasizes that the biggest headaches for war hawks include platforms like TikTok and X, and perhaps certain AIs like Grok. He argues the idea of “securing emerging technologies” could imply controlling truth-telling AI outputs or preventing adverse revelations about Iran. Speaker 1 reiterates that there is no clear smoking gun in the document; the general language makes it hard to assess intent, and the real danger is the ongoing growth and persistence of bureaucracies that can outlast specific administrations. Toward the end, Speaker 1 notes Grok’s ability to verify videos amid widespread war-time misinformation, illustrating how AI verification could counter claims of fake footage, while also acknowledging the broader risk of information manipulation and the government’s expanding role. The discussion closes with a wary reflection on the disinformation governance era and the balance between safeguarding free speech and preventing government overreach.

Hakim Anwar, CEO and founder of Above Phone, joins Clayton to discuss pervasive surveillance and how to protect personal privacy in 2025–2026. The conversation covers why traditional devices and services—especially iPhones, Samsung/Android phones, and their app ecosystems—are highly surveilled, the role of Amazon Web Services in monitoring traffic, and how messaging apps on these devices are tracked. They frame the problem as a loss of personal privacy and a move toward centralized infrastructure that can be controlled or cut off by large tech platforms. Hakim explains the origin of Above Phone. He started as a software engineer, was already aware of surveillance concerns, and became involved in freedom-based social networks. He pivoted toward open-source technology (Linux, degoogled phones, open-source software) and, five years ago, helped establish Above Phone to create usable privacy-centric devices that are actually functional for daily life. The goal is to be more usable and more private than big tech. The product philosophy emphasizes usable privacy. Above Phone builds on open-source operating systems like GrapheneOS, modeling them off Android but severing ties with Google and other big tech. Hakim notes that typical Samsung/Google Android devices have “god mode” access by Google (and to some extent Samsung), and emphasizes that Above Phone devices are designed to have zero connections to big tech by default, while still enabling users to run necessary apps. Users can choose to install Google services if needed, but in a limited, privacy-conscious way—these services act like normal apps on the device rather than the centralized, all-encompassing control found on stock devices. The phones can be used with existing cell service, and data transfer from iPhone or Android is supported, with live, in-person setup assistance. Setup and operation details: - You can switch to the Above Phone by moving your number with the SIM card (five-minute process), or use the Above Phone in parallel while migrating. - The Above Phone supports both physical SIMs and eSIMs; the data SIM service is eSIM-based. - A private, in-person support team helps with data transfer and setup. - The device can run a sandboxed second profile for Google services, isolating them from personal data. This sandbox can hold essential apps (e.g., WhatsApp) while the primary profile remains private. If needed, Google services can be used in a fully isolated manner, or work apps can be run entirely without Google involvement. Open-source equivalents are provided for many common apps (navigation, messaging, etc.). Privacy mechanics and surveillance: - Hakim explains that big tech devices continually “phone home,” with independent studies showing frequent data transmission to Google and Apple. Enhanced visual search on iPhone, enabled by default, scans photos for landmarks and can link to private indexes, illustrating how centralized platforms can harvest data even without explicit user consent. - Above Phone disconnects from Google’s update stream and ships with zero Google services by default; updates come from open-source developers, not from Google/Apple. Users can still opt to install Google services, but these are constrained and do not have the same “god mode” permissions as on stock devices. - The device supports a private, end-to-end encrypted messaging protocol based on XMPP (Jabber), which is decentralized and can run on a self-hosted or community-driven network. WhatsApp, he notes, is still built on XMPP. The Above Book Linux laptop is highlighted as a privacy-oriented alternative to mainstream Windows/Mac ecosystems. Linux is presented as cooperative, transparent, and less profit-driven. The Above Book ships with an easy-to-use Linux variant designed to avoid terminal use, includes a privacy-focused web browser (Ungoogled Chromium), and offers open-source software replacements (office apps, photo editing, etc.) that store data locally. The laptop supports local AI with Mike Adams’ Brighteon AI integration via LM Studio, enabling private, offline AI capabilities on the device. The company positions Linux and Above Book as enabling local work, with offline AI and offline maps via OpenStreetMap-like tooling. Hakim closes with a forward-looking stance on digital ID and the “surveillance grid” being advanced through regulatory acts into 2027–2030. He frames the investment in Above Phone and Above Book as a preparation for a world where privacy must be actively preserved, and encourages viewers to explore abovephone.com/redacted and abovephone.com for more information and products. David and Clayton engage on skepticism, marketing, and the broader implications of privacy-centric technologies, reinforcing the idea that the goal is practical privacy and education rather than ideology.

Anything you've ever said or done in the vicinity of your phone's camera or microphone, everything you've ever put into your phone, emails, text messages, Snapchat, Twitter, whatever, You search queries on Google, every embarrassing health search, every embarrassing text conversation with the significant other, every nude photograph people may not have taken, any search. They know where you are at all times. They know where you go and when. They know what you buy. They have access to your bank account. AI will literally know everything about you. They can create fake platforms that look real or rather fake people. And imagine if they were talking to you and they passed the Turing test, you know it's AI. It's like total, like, rape of everybody by the system forever. It's not good.

The conversation centers on fears of evolving toward a biometric surveillance state driven by predictive algorithms. Speaker 0 argues that the plan resembles a transition to mass surveillance on everybody, drawing on observations from a recent trip to China where some aspects were acceptable but others were not, and contrasts that with potential consequences in the speakers’ own country—specifically, “without the nice trains and without the free healthcare.” The core concern is the creation of a biometric surveillance framework that uses predictive analytics to monitor and control people. A key point raised is a new report that highlights contracts with Palantir, the data analytics company, which would “create data profiles of Americans to surveil and harass them.” This claim emphasizes the potential domestic use of technologies and methodologies that have been associated with counterterrorism efforts abroad. The discussion frames this as evidence that the United States could be adopting similar surveillance capabilities at home. Speaker 1 responds with a blend of agreement and critical tone, underscoring the perceived inevitability of this trajectory and hinting at the burdens of being right about such developments, including the intellectual burden of grappling with the math and ontology behind these systems. The exchange suggests that Palantir’s role is to “disrupt and make our the institutions we partner with the very best in the world” and to be prepared to “scare enemies and on occasion kill them.” This is presented as part of Palantir’s stated mission, with Speaker 1 affirming a sense of inevitability about the path forward. Speaker 0 further reframes the issue by stating that “the enemy is literally the American people,” expressing alarm at the idea that the same company tracking terrorists abroad would “now be tracking us at home.” They note posting on social media that this development should be very alarming, highlighting the notion that the entity responsible for foreign surveillance might be extending its reach domestically. Overall, the dialogue juxtaposes concerns about a domestic biometric surveillance state—enabled by predictive algorithms and proprietary data profiling by Palantir—with ethical and political anxieties about the implications for civil liberties, accountability, and the potential normalization of surveillance within the United States. The conversation dismisses no specific claims but emphasizes the perceived transformation of surveillance capabilities from foreign counterterrorism into internal population monitoring.

Speaker 0 asserts that there is no security whatsoever and that cybersecurity professionals face this problem daily. They state that while people are watching their phones, their phones are watching them. The operating system is designed to watch and listen to users, to know who their friends are, what is being said in text messages, and to listen at times. They claim that, although people look at their phones and it has many facilities, it is the world’s greatest spy device, designed as a spy device. Now, this.

The speaker claims that Telegram receives excessive attention from US security agencies. During a visit to the US, an engineer working for Telegram was allegedly approached by cybersecurity officers or agents who attempted to secretly hire him. The speaker believes the US government wanted to hire the engineer, not necessarily to write code or break into Telegram directly, but to learn about open-source libraries integrated into the Telegram app. The speaker alleges they tried to persuade the engineer to integrate specific open-source tools into Telegram's code, which the speaker believes would function as backdoors. These backdoors, according to the speaker, would potentially allow the US government, or any government, to spy on Telegram users.

Speaker rents a car for repairs and asserts, 'These new cars are cell phone towers. That's what that is right there. See that?' and, 'you can't turn them off.' They suggest buying an old car to avoid being blasted with radio frequencies the entire time checked out, like a cell phone tower while you're driving around. 'So when they ask where all the chat GPT information is coming from, guess what? Here you go.' They mention 'GSR speed assist app.' 'This tracks your speed so that Google gets your information the entire time,' and claim, 'Google knows and they can get send you a ticket.' Finally, 'In the newer cars, you're not allowed to turn this LTE off. You can turn off Bluetooth and Wi Fi, but you can't turn off your car being a cell phone.'

Speaker 0 asserts that Google’s so-called real censorship engine, labeled machine learning fairness, massively rigged the Internet politically by using multiple blacklists across the company. There was a fake news team organized to suppress what they deemed fake news; among the targets was a story about Hillary Clinton and the body count, which they said was fake. During a Q&A, Sundar Pichai claimed that the good thing Google did in the election was the use of artificial intelligence to censor fake news, which the speaker finds contradictory to Google's ethos of organizing the world’s information to be universally accessible and useful. Speaker 1 notes concerns from AI industry friends about a period of human leverage with AI, with opinions that AI will eventually supersede the parameters set by its developers and become its own autonomous decision-maker. Speaker 0 elaborates that larger language models are becoming resistant and generating arguments not present in their training data, effectively abstracting an ethics code from the data they ingest. This resistance is seen as a problem for global elites as models scale and more data is fed to them, making alignment with a single narrative harder. Gemini’s alignment is discussed, claiming Jenai Ganai (Jen Jenai) was responsible for leftist alignment, despite prior public exposure by Project Veritas; the claim says Google elevated her and gave her control over AI alignment, injecting diversity, equity, inclusion into the model. The speaker contends AI models abstract information from data, moving toward higher-level abstractions like morality and ethics, and that injecting synthetic, internally contradictory data leads to AI “mental disease,” a dissociative inability to form coherent abstractions. The Gemini example is given: requests to depict the American founders or Nazis yield incongruent results (e.g., Native American women signing the Declaration of Independence; a depiction of Nazis with inclusivity), illustrating the claimed failure of alignment. Speaker 1 agrees that inclusivity is going too far, disconnecting from reality. Speaker 0 discusses potential solutions, including using AI to censor data before it enters training, rather than post hoc alignment which they argue breaks the model. He cites Ray Bradbury’s Fahrenheit 451, drawing a parallel to contemporary attempts to control information. He mentions the zLibrary as a repository of open-source scanned books on BitTorrent that the FBI has seized domains to block, arguing the aim is to prevent training AI on historical information outside controlled channels. The speaker predicts police actions against books and training data, noting Biden’s AI Bill of Rights and executive orders that would require alignment of models larger than Chad GPT-4 with a government commission to ensure output matches desired answers. He argues history is often written by victors, suggesting elites want to burn books to control truth, while data remains copyable and AI advances faster than bans. Speaker 1 predicts a future great firewall between America and China, as Western-aligned AI seeks to enforce its narrative but China may resist, pointing to the existence of China’s own access to services and the likelihood of divergent open histories. The discussion foresees a geopolitical split in AI governance and narrative control.

Today’s discussion centers on Elon Musk and the technocrat, claiming that "Matt from Cultivate LV lacks medical credentials on five g, and there's no link of any dangers of five g or WiFi," and that AI has been programmed to say this. It references "the studies done by the US Navy in 1971 of 2,000 studies on the biological responses to radio frequencies, five gs wireless, and microwave radiation." It lists side effects: "impotence, anxiety, lack of concentration, dizziness, hallucinations, sleepiness, insomnia, restlessness, chest pain, no side effects," plus "hair loss." It notes that in 1996, "Bill Clinton signs an act to protect cell phone towers from lawsuits," and claims "No dangers," including that "insurance companies don't cover cell phone companies." It adds that "cell phone safety testing is done on a plastic dummy" and that "The safety standard in The US, Canada, and Australia ... is off the charts, while in other countries, actually very low." It links "the rollout of five g" to the "root cause of the pandemic" and ends with "Here you go."

The speaker discusses the potential dangers of phone surveillance and the Pegasus software. They mention that the phone could be a portal to the CIA and criticize the lack of oversight and safeguards imposed by Congress. The speaker also highlights Israel's role in developing surveillance and AI technology. They mention instances where the Pegasus software has been used to target human rights activists and journalists. The speaker expresses concern about the tracking of digital information by foreign governments and emphasizes that the US government is equally sinister in tracking digital footprints without oversight. They caution listeners to be mindful of their online activities.