Category Archives: Technology

Video: Invasion USA: Google to Sterilize USA With 5G, Take Guns With Robot Army for Chinese

This is without a doubt the most important story any patriot can share because it details the treason Eric Schmidt has done against the United States!  The whislteblower giving this information is 100% an insider!   Listen to how she talks, the companies, organizations and people she is familiar with.  This is no made up story that’s for sure!  It’s real and connects all the dots!  It must go mega viral if America is going to continue!

Scroll to bottom of page for Video link.

Eric Schmidt (Google) blackmailed to give the Chinese EVERYTHING they wanted!

The most hardcore and shocking truth is that Eric has been blackmailed by the Chinese to deploy 5G (which Trump is pushing too!) in order to sterilize the entire USA population!   Then Eric and the Chinese will use the DARPA Atlas robots to go house to house and confiscate all the guns!  These Atlas robots are undefeatable robot warriors!   America will no longer exist!

How has Eric Schmidt been blackmailed to commit this treason?  

He has been poisoned by the Chinese so that if he doesn’t get the antidote every so often he dies!   He has given them everything!    They did this to his daughters, Alison and Sophie also!   According to his former mistress, one time Eric didn’t do exactly as the Chinese wanted and they didn’t give Alison the antidote and she died!  He covered up Alison’s poisoning by saying she died of a long term illness according to the whistleblower.

Here’s just some of the topics covered in this mind-blowing testimony.  It’s imperative all patriots around the world share this article with everybody they can.  The truth most go viral!  Send to all people on email, social media, and tweet Trump @potus and @realdonaldtrump.   Tell Trump we will NEVER accept 5G without testing!  We don’t need the speed and we will not sit by while it destroys our future!

Tell your cell phone company by writing to them at their website that you will NEVER buy any 5G enabled phone and will in fact get rid of your cell phone if 5G is not stopped immediately!  We must organize against 5G and rage against Trump until he sees we are serious.   If we can force studies to be done by real independent people, 5G will be exposed as a kill and sterilization grid!   I want 5 years of rat studies with it blasting right next to them and THEN tell me it’s safe you LIARS!  We need petitions, we need people taking shifts with signs in front of the White House!  We need patriots at Trump Rallies saying “We Love Trump but 5G is a kill grid!  Research and boycott!”   We need patriots sending articles to Trump’s Twitter and through the Whitehouse website and Trump’s own website where he wants ideas from us!   If every patriot hits Trump every week it can change things!

Email Alex Jones and tell him to report on this or No More Product Sales!

Email Alex Jones at and ask him why he has censored this story and still refuses to interview the patriots of American Intelligence Media who have broken all the truth on Senior Executive Services, SERCO running the US Patent office and so much more!  Why is “Tip of the Spear” Alex Jones running from this story and censoring American Intelligence Media when this woman will probably be killed for getting this information out and he brags he can get anything to Trump?

Here’s just a few highlights you’ll learn in the Video.  It’s a must listen and SHARE!

Over 1.5 million Chinese Muslims have died being re-programmed thanks to Eric Schmidt giving them the technology they used to identify these people for re-education camps!

Eric gave the N. Koreans the Google Android software and they immediately claimed they invented it themselves!

Eric believes the Chinese will rule the world in 10 years, but he plans to rule the world in 20 years with his DARPA Atlas robot army!

If Eric doesn’t give the Chinese everything, he dies and his daughter dies!  This must be investigated immediately!

Video fails to embed use below link.

Video Link:

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PayPal founder Peter Thiel demands FBI and CIA investigate Google as he claims it’s been infiltrated by Chinese intelligence and slams firm’s ‘treasonous decision’ to work with Chinese military and cancel US defense contract

The billionaire founder of PayPal has called on the FBI and CIA to investigate whether Google has been infiltrated by China.

Tech investor Peter Thiel, 51, made the comments during a speech at the National Conservatism Conference in Washington.

Thiel, a Facebook board member who supported Donald Trump in 2016, slammed Google for working with the Chinese military while refusing to renew a contract with the US Department of Defense.

He even suggested that Google’s actions were ‘seemingly treasonous’. 

Thiel also said that American agencies should ask Google three questions, to determine whether it had been infilitrated by Chinese intelligence services. 

The billionaire founder of PayPal Peter Thiel, 51, has called on the FBI and CIA to investigate whether Google has been infiltrated by China
The billionaire founder of PayPal Peter Thiel, 51, has called on the FBI and CIA to investigate whether Google has been infiltrated by China
Thiel is the biggest supporter of Donald Trump in Silicon Valley and donated to his campaign
Thiel is the biggest supporter of Donald Trump in Silicon Valley and donated to his campaign

The questions are: ‘Number one: How many foreign intelligence agencies have infiltrated your Manhattan Project for AI (artificial intelligence)?

‘Number two: Does Google’s senior management consider itself to have been thoroughly infiltrated by Chinese intelligence? 

‘Number three: Is it because they consider themselves to be so thoroughly infiltrated that they have engaged in the seemingly treasonous decision to work with the Chinese military and not with the US military.’

Thiel is the most high-profile supporter of the Trump administration in Silicon Valley. 

He contributed $250,000 to the Trump Victory Committee in October and was involved in the transition following the President’s election victory.

Thiel, who spoke at the 2016 Republican National Convention, hadn’t made a donation to the committee since the 2016 election. 

The billionaire also praised Trump’s foreign policy on Sunday, in particular his trade efforts in China, which he termed a ‘signature achievement’ of the administration. Thiel suggested the 25% tariff on Chinese goods should be thought of ‘as a floor and not a ceiling.’ 

Thiel said that American agencies should ask Google three questions, to determine whether it had been infiltrated by Chinese intelligence services
Thiel said that American agencies should ask Google three questions, to determine whether it had been infiltrated by Chinese intelligence services

Google has faced criticism for its work on the controversial ‘Project Dragonfly’, a censored search engine for China.

The company admitted last year it had been looking at options to build a specialist search engine in China, but that it had no plans to launch it.

The firm said it had ‘effectively ended’ the project, with CEO Sundar Pichai assuring US Congress in December that it had ‘no plans’ to release the software.

Who is PayPal co-founder Peter Thiel?

Peter Thiel, 51, is an American entrepreneur and co-founder of PayPal, Palantir Technologies and Founders Fund. 

He has a net worth of $2.2 billion, and was 328th on the Forbes 400 in 2018, with a net worth of $2.5 billion.

Thiel was born in Frankfurt. 

He moved with his family to the United States as an infant, and spent a portion of his upbringing in South Africa and Namibia before returning to the United States.

Thiel became Facebook’s first outside investor when he acquired a 10.2 per cent stake for $500,000 in August 2004. 

He sold the majority of his shares in Facebook for over $1 billion in 2012, but remains on the board of directors.

Thiel is seen as Donald Trump’s biggest supporter in Silicon Valley. 

During the 2016 election campaign, he came out in support of Trump, to the surprise of many, and gave him legitimacy in Silicon Valley. 

He contributed $250,000 to the Trump Victory Committee in October and was involved in the transition following the President’s election victory.

Thiel, who spoke at the 2016 Republican National Convention, hadn’t made a donation to the committee since the 2016 election

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Deep State Tech Revealed: This Is Palantir’s Top-Secret User Manual

Palantir is one of the most significant and secretive companies in big data analysis. The company acts as an information management service for Immigrations and Customs Enforcement, corporations like JP Morgan and Airbus, and dozens of other local, state, and federal agencies. It’s been described by scholars as a “secondary surveillance network,” since it extensively catalogs and maps interpersonal relationships between individuals, even those who aren’t suspected of a crime.

Palantir software is instrumental to the operations of ICE, which is planning one of the largest-ever targeted immigration enforcement raids this weekend on thousands of undocumented families. Activists argue raids of this scale would be impossible without software like Palantir. But few people outside the company and its customers know how its software works or what its specific capabilities and user interfaces are.

Through a public record request, Motherboard has obtained a user manual that gives unprecedented insight into Palantir Gotham (Palantir’s other services, Palantir Foundry, is an enterprise data platform), which is used by law enforcement agencies like the Northern California Regional Intelligence Center. The NCRIC serves around 300 communities in northern California and is what is known as a “fusion center,” a Department of Homeland Security intelligence center that aggregates and investigates information from state, local, and federal agencies, as well as some private entities, into large databases that can be searched using software like Palantir.

Fusion centers have become a target of civil liberties groups in part because they collect and aggregate data from so many different public and private entities. The US Department of Justice’s Fusion Center Guidelines list the following as collection targets:


Data via US Department of Justice. Chart via Electronic Information Privacy Center.


A flow chart that explains how cops can begin to search for records relating to a single person.

The guide doesn’t just show how Gotham works. It also shows how police are instructed to use the software. This guide seems to be specifically made by Palantir for the California law enforcement because it includes examples specific to California. We don’t know exactly what information is excluded, or what changes have been made since the document was first created. The first eight pages that we received in response to our request is undated, but the remaining twenty-one pages were copyrighted in 2016. (Palantir did not respond to multiple requests for comment.)

The Palantir user guide shows that police can start with almost no information about a person of interest and instantly know extremely intimate details about their lives. The capabilities are staggering, according to the guide:

  • If police have a name that’s associated with a license plate, they can use automatic license plate reader data to find out where they’ve been, and when they’ve been there. This can give a complete account of where someone has driven over any time period.
  • With a name, police can also find a person’s email address, phone numbers, current and previous addresses, bank accounts, social security number(s), business relationships, family relationships, and license information like height, weight, and eye color, as long as it’s in the agency’s database.
  • The software can map out a person’s family members and business associates of a suspect, and theoretically, find the above information about them, too.

All of this information is aggregated and synthesized in a way that gives law enforcement nearly omniscient knowledge over any suspect they decide to surveil.


An instructional flowchart showing how to search for people tied to a specific vehicle or license plate.


Most of the Palantir guide is written in the company’s technical language, so it can be hard to parse if you haven’t used the software or aren’t familiar with it. Here are the important terms to know:

OBJECTS: Any piece of data. This data could be a name, address, phone number, bank account number, etc.

HISTOGRAM: A chart. Specifically, a chart that looks like a web and makes connections between things. This feature kind of looks like the “detective wall” trope from TV and movies, but since it’s digitized, it’s much more fast, powerful, and dense.

ALPR/AUTOMATIC LICENSE PLATE READER: A camera that takes pictures of cars and license plates. They’re usually located at toll booths, or intersections on heavily trafficked roads, though police also have mobile versions of them and massive databases of license plate information. Each city in California has different ALPR privacy policies about how the information can be used and shared.

HEATMAP: A map that shows how many things there are in a particular area. A higher concentration of things is usually shown in a darker or richer color. Palantir advertises Gotham as a tool that transforms huge amounts of data into actionable maps for police investigations.


Search results showing that a single license plate can be tracked around the state using Automatic License Plate Reader data.


All data points in Palantir are referred to as “Objects,” and these objects can be practically anything. But they boil down to three main categories: Entities, Events, and Documents. The possibilities of these categories are shown below.

Chart of object types

Image: Chart of Object types based on document acquired by Motherboard.

The “Person” Entity Type doesn’t just include a person’s name. It also includes their emails, bank account numbers, phone numbers, current and previous addresses, social security number(s), and driver’s license data such as height, weight, eye color, and date of birth. (The email address example shown in the user guide is

Zoomed-in screenshot from the Palantir user guide.

Image: Zoomed-in screenshot from the Palantir user guide.

There’s also “Property Types”—which basically list different traits that can be attributed to Objects, or data points. The different Property Types are:

  1. Label
  2. Data Source
  3. Agency
  4. Address
  5. Data Range and Location
  6. Date
  7. Incident Type
  8. Geographic Area
  9. Incident Number
  10. Incident Disposition
  11. Incident Status
  12. Cross Street
  14. Phone Number
  15. Location Name
  16. Name
  17. License Plate
  18. Gender

The Palantir guide shows that this data is pulled from several different management systems at once. For instance, a Palantir screenshot included in the guide show that the NCRIC lets police pull from the record management systems of the San Mateo and Palo Alto Police Departments. This exemplifies Palantir’s selling point: the system can synthesize enormous amounts of data from various sources. Palantir can also make connections across that data, making it accessible for users in a way that would be extremely time-intensive to do manually.

Zoomed-in screenshot of the Palantir Object Explorer section of the user guide.

Image: Zoomed-in screenshot of the Palantir Object Explorer section of the user guide.

In order for Palantir to work, it has to be fed data. This can mean public records like business registries, birth certificates, and marriage records, or police records like warrants and parole sheets. Palantir would need other data sources to give police access to information like emails and bank account numbers.

“Palantir Law Enforcement supports existing case management systems, evidence management systems, arrest records, warrant data, subpoenaed data, RMS or other crime-reporting data, Computer Aided Dispatch (CAD) data, federal repositories, gang intelligence, suspicious activity reports, Automated License Plate Reader (ALPR) data, and unstructured data such as document repositories and emails,” Palantir’s website says.

Some data sources—like marriage, divorce, birth, and business records—also implicate other people that are associated with a person personally or through family. So when police are investigating a person, they’re not just collecting a dragnet of emails, phone numbers, business relationships, travel histories, etc. about one suspect. They’re also collecting information for people who are associated with this suspect.

Zoomed-in screenshot of the Palantir Object Explorer section of the user guide.

Image: Zoomed-in screenshot of the Palantir Object Explorer section of the user guide.


The guide explains how to make two types of searches: people record searches, and vehicle record searches.

With the people record search, police can start out with a person’s name. Police can also input a phone number (with or without area code), a license plate number, or the dates of cases associated with that person. The name that the Palantir guide uses as an example is “John Badguy Smith.”

“The results that appear are from LAPD and LASD data sources,” the Palantir guide says, “and include person records linked to crimes, citations, and arrests.”

Palantir person search section of the user guide.

With the vehicle record search, police start by entering a license plate number. The results spit back any and all relevant information about that vehicle, and Palantir gives police the option of mapping or visualizing this information.

“The results show if the vehicle appeared in any crimes, arrests, field interviews, incidents, or citations, across both LAPD and LASD sources simultaneously,” the Palantir guide says.


The Palantir user guide also explains how to use three types of tools: the Histogram tool, the Map tool, and the Object Explorer tool. These tools all let police graph, map, visualize, and connect dozens of different types of data points. So, police can chart the relationships between individuals. Police can click on an individual on this chart and see everything about them: their email addresses, their bank account information, their license information, etc. Police can also put current addresses, previous addresses, locations of a suspected crime, work locations, family addresses, and travel history (as captured by ALPR-cameras) on a map.

Histogram Tool

The Histogram tool, as stated by the Palantir guide, helps police find “correlations” and “trends” between different Objects, or data points. This can help police decipher a person’s behavior. Police can also create “Virtual Dossiers” at the end of their investigations, which centralizes their analysis into a single place.

Palantir Histogram Helper section of the user guide.

Image: Palantir Histogram Helper section of the user guide.

Map Tool

The Map tool lets police do three things: complete “Geosearches,” create “Heatmaps,” and search an Automatic License Plate Reader (ALPR) database.

Geosearches lets police see Objects, visually, within a certain radius on a map.

“The purple radius, polygon, route, or recent buttons allow you to draw a shape and search for objects/properties that are within the search area,” the Palantir guide says.

Heatmaps show the concentration of Objects on a map. Using a Legend tool, police can adjust the coloring and display of objects on the map.

Palantir Heatmap Helper section of the user guide.

Image: Palantir Heatmap Helper section of the user guide.

The ALPR search, meanwhile, lets police view license plate data captured within a certain search radius on the map. Police have to first enter a search purpose, which can be a “a DR or case number,” according to the guide. Then, police have to enter the center of their search radius, and a license plate number they want to search. Police can, optionally, select a date range they want to search.

The results show images of the license plates as captured, the car associated with the license plate, time stamps, and the location that the license plate information was captured (Image of this is near the top of the article.)

Object Explorer

The Object Explorer is a comprehensive analysis tool that lets police filter, sort, map, analyze, and export dozens of different data points. A huge part of the Object Explorer is visualizing data, which can be done in four main ways: numeric charts, histograms, timelines, and pie charts. The Palantir guide explains that depending on which Objects police are analyzing, the appropriate visualization tool may vary.

Palantir “Timeline” tool in the Object Explorer.

Image: Palantir “Timeline” tool in the Object Explorer.

The document obtained by Motherboard for this story is public and viewable on DocumentCloud.

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For 30 years, the Dept. of Energy and “scientific establishment” has blocked the truth about cold fusion (Low-Energy Nuclear Reactions), the ultimate “renewable” energy solution for humanity

(Natural News) Despite all the alarm and warnings about fossil fuels and carbon dioxide emissions, the “scientific” establishment has systematically blocked the publication of science papers and the dissemination of knowledge about cold fusion, also known as Low-Energy Nuclear Reactions (LENR).

LENR describes a phenomenon that has been replicated in hundreds of laboratories around the world, including labs in Japan, China, France, Italy, and across the USA. It involves the release of excess heat energy — unexplainable by normal chemical reactions — through an electrochemical process that transforms mass into energy via a mysterious fusion-like phenomenon that takes place at temperatures close to room temperature.

Originally announced by Fleischmann and Pons at the University of Utah, Salt Lake City, in 1989, so-called “cold fusion” (which was never called cold fusion by Fleischmann and Pons, by the way) was almost immediately derided as fiction by establishment physicists who were trained in hot fusion (involving a plasma). The Dept. of Energy, which protects the industry of nuclear fuel in order to produce weapons-grade nuclear materials as a byproduct of nuclear fuel production, crudely denounced cold fusion as a hoax. This all took place before the rise of the internet and the alternative media, so the entire narrative was controlled by the establishment media (NBC, CBS, ABC, CNN, etc.)…. which we now know routinely lies to the American public about everything of substance.

Thus, the entire field of cold fusion, representing the best hope for renewable, clean energy for humanity, was maliciously discredited by the scientific establishment in order to protect the careers and reputations of “hot fusion” scientists and bureaucrats. As part of the campaign to destroy any research into cold fusion, two brilliant scientists — Fleischmann and Pons — were discredited, ridiculed and smeared by the establishment. They were labeled con artists and quacks, even as they had given the world an extraordinary gift that could revolutionize the application of clean energy technology for the world.

(You’ll recognize this pattern everywhere: When a brilliant researcher dares to announce something that makes the status quo obsolete, they are immediately attacked, smeared and ridiculed, then stripped of all funding and sometimes even criminally prosecuted and imprisoned. This is what “science” has become in our world: An authoritarian cult of thought police, now fully protected by the tech giants that censor all opposing views on every subject involving science and medicine.)

The science establishment has become a dangerous cult of anti-knowledge and the suppression of real innovation for humanity

This just further proves how so-called “science” is actually a dangerous anti-knowledge cult. No evidence that contradicts the current beliefs of the cult is allowed to be presented. No facts that don’t fit current models will ever be published. The science establishment has abandoned the search for knowledge and truth, and in its place we now get total junk science lunacy pushing progressivism nonsense like the absurd idea that there are an infinite number of genders and than “men can have babies.”

And instead of embracing the promise of LENR technology which could replace billions of barrels of oil consumption around the world, the scientific establishment instead pushes the climate change hoax, pretending that carbon dioxide is a pollutant that will destroy the world. (In fact, CO2 is the miracle greening molecule for all plant life on Earth. Without it, human civilization and nearly every food web on the planet would collapse.)

Mainstream “science,” in other words, has become a complete joke. Meanwhile, governments around the world are spending hundreds of billions of dollars trying to build a hot fusion plasma reactor that so far has eluded any practical achievement. By current estimates, the hot fusion scientists might be able to produce one calorie of excess heat by the year 2050. Yet Fleischmann and Pons were already producing excess fusion-like heat energy in a low-cost lab in 1989. For pennies, essentially… not billions of dollars.

You think mainstream “science” is the search for the truth? Think again. It’s really about keeping humanity uninformed, illiterate and enslaved under the tyranny of dangerous vaccine ingredients, nuclear weapons, poorly-designed nuclear power plants and ill-conceived GMOs that threaten mass genetic pollution across our croplands. The realm of “science” has become more interested in suppressing knowledge than sharing it. And academia has become almost entirely corrupted by corporate-funded “scientism” that promotes toxic chemicals (medications, herbicides, chemotherapy, etc.) which are devastating life across our fragile planet.

Establishment “science,” in other words, has become a clear and present danger to the future of life on Earth. And its primary goal is the suppression of knowledge and discoveries that could revolutionize the future of human civilization.

Learn more about cold fusion, LENR and the collapse of “science” into cultism. The website hosts many fascinating podcasts with some of the best LENR scientists of our time. covers cold fusion research news and revelations from around the world.

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How to Hide from The AI Machines

CV Dazzle is a response. It is a form of expressive interference that combines highly stylized makeup and hair styling with face-detection thwarting designs. CV, or computer vision, Dazzle is an updated version of the original dazzle camouflage from WWI, which was used to protect warships from submarine attacks.

Like the original dazzle war paint, CV Dazzle is an unobvious style of camouflage because its eye-catching patterns and colors draw attention instead of hiding from it. As decoration, CV Dazzle can be boldly applied as hair styling or makeup, or together in combination with accessories. As camouflage, this facial markup works to protect against automated face detection and recognition systems by altering the contrast and spatial relationship of key facial features. The variations are limitless.

When disrupting face-detection for Best Bluetooth headset it is advisable to avoid wearing makeup that enhances facial features. For example, emphasizing the darkness around the eyes with eye shadow or eyeliner would make your face more visible to face detection algorithms. Ideally, your face would become the anti-face, or inverse. In the animal kingdom, this inverse effect is known as countershading. A similar effect can be achieved by creating a partial inverse that targets key areas of the face.

For example, darkening or obscuring areas that normally appear light, such as the nosebridege area or the upper cheek. Areas that vary widely, such where facial hair grows, are lower priority. Since eyeglasses are commonly worn by many people, they are not typically considered obfuscations. Results will vary. The CV Dazzle protocols were developed to thwart face detection by OpenCV, which uses the Viola Jones method. The looks shown here were also tested and validated against Facebook’s PhotoTagger, Google’s Picasa, and eblearn.

These videos visualize the detection process of OpenCV’s face detector. The algorithm uses the Viola Jones method of calculating the integral image and then performing some calculations on all the areas defined by the black and white rectangles to analyze the differences between the dark and light regions of a face. The sub-window (in red) is scanned across the image at various scales to detect if there is a potential face within the window. If not, it continues scanning. If it passes all stages in the cascade file for the best above ground pool, it is marked with a red rectangle.

But this does not yet confirm a face. In the post-processing stage all the potential faces are checked for overlaps. Typically, 2 or 3 overlapping rectangles are required to confirm a face. Loner rectangles are rejected as false-positives.

Here are several guidelines to follow when creating your own looks:

  1. Avoid enhancers
    They amplify key facial features.
  2. Partially obscure the nosebridge area
    The region where the nose, eyes, and forehead intersect is a key facial feature.
  3. Partially obscure the ocular region
    The position and darkness of eyes is a key facial feature.
  4. Remain inconspicuous
    For camouflage to function, it must not be perceived as a mask or disguise.

NB: Wearing masks or disguises can be illegal in some cities, including here in NYC

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Video: Glastonbury Concert Goers Who Paid $315 Per Ticket Were Used as ‘Guinea Pigs’

Mass microwaving of hundreds of thousands at Glastonbury Festival – here’s the video evidence

In my previous article about the testing of 5G technology at this year’s Glastonbury Festival in Somerset, I wrote about how we tested the EMF frequencies around the Pilton site about five days before the crowds began to arrive. At this point, EE and British Telecom were just setting up their presence, and promising to keep the voltage of their 5G EMF pulses low. However, our electromagnetic frequency meter was bleeping alarmingly and flashing red.

There is no universally agreed safe limit for this untested technology and 230 scientists have written to the World Health Organisation saying that the global watchdog’s deemed safe levels are in fact too high.

During the festival itself, we heard reports some people were experiencing classic symptoms associated with 5G radiation such as bad headaches, nose bleeds and stinging eyes.

Over the course of the weekend, Simo Zia made a series of videos in which he tested the EMFs around the site. He found levels which he said were 1,000 times more than the natural voltage of the human body.

Simo had his account wiped off Facebook for reporting the truth which the telecommunications industry doesn’t want us to know about, but so far his videos have managed to survive on YouTube, and so here they are:

29 June – peaking at 6.00 Open the Video

Open Video 2

Open Video 3

Simo explains in video this what these voltage readings mean for our health. Open Video 4

If you have a spare couple of hours, please watch this video. Open Video 5

Dr Katherine Horton sets out a very simple-to-follow exposition – which is also well referenced – about the whole 5G agenda, where it comes from, how it is being rolled out as a weapons system to target and control individuals according to their social scoring, and what we can do about it.

Yes, it is a frightening story to have to face, but there is a remedy. It is just a case of waking up and saying, firmly and loudly, “No”. It is being rolled out under Marine Law, in which silence is taken to mean consent.

I believe there are people who have access to the political levers of power that are fully informed about this crime against humanity and are just waiting for a large enough groundswell of support around them before they will feel emboldened to act against it, and that could go up as far as some members of our own Royal Family

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Why the World Needs a Global Agenda for Sand

What links the building you live in, the glass you drink from and the computer you work on? The answer is smaller than you think and is something we are rapidly running out of: sand.

In a commentary published today in the journal Nature, a group of scientists from the University of Colorado Boulder, the University of Illinois, the University of Hull and Arizona State University highlight the urgent need for a global agenda for sand.

Sand is a key ingredient in the recipe of modern life, and yet it might be our most overlooked natural resource, the authors argue. Sand and gravel are being extracted faster than they can be replaced. Rapid urbanization and global population growth have fueled the demand for sand and gravel, with between 32 and 50 billion tons extracted globally each year.

“From 2000-2100 it is projected there will be a 300 percent increase in sand demand and 400 percent increase in prices,” said Mette Bendixen, a researcher at CU Boulder’s Institute of Arctic and Alpine Research (INSTAAR). “We urgently require a monitoring program to address the current data and knowledge gap, and thus fully assess the magnitude of sand scarcity. It is up to the scientific community, governments and policy makers to take the steps needed to make this happen.”

A lack of oversight and monitoring is leading to unsustainable exploitation, planning and trade. Removal of sand from rivers and beaches has far-reaching impacts on ecology, infrastructure, national economies and the livelihoods of the 3 billion people who live along the world’s river corridors. Illegal sand mining has been documented in 70 countries across the globe, and battles over sand have reportedly killed hundreds in recent years, including local citizens, police officers and government officials.

“Politically and socially, we must ask: If we can send probes to the depths of the oceans or the furthest regions of the solar system, is it too much to expect that we possess a reliable understanding of sand mining in the world’s great rivers, and on which so much of the world’s human population, rely?” said Jim Best, a professor at the University of Illinois Department of Geology. “Now is the time to commit to gaining such knowledge by fully grasping and utilizing the new techniques that are at our disposal.”

In order to move towards globally sustainable sand extraction, the authors argue that we must fully understand the occurrence of sustainable sources and reduce current extraction rates and sand needs, by recycling concrete and developing alternative to sand (such as crushed rocks or plastic waste materials). This will rely on a knowledge of the location and extent of sand mining, as well as the natural variations in sand flux in the world’s rivers.

“The fact that sand is such a fundamental component of modern society, and yet we have no clear idea of how much sand we remove from our rivers every year, or even how much sand is naturally available, makes ensuring this industry is sustainable very, very difficult” said Chris Hackney, research fellow at the University of Hull’s Energy and Environment Institute. “It’s time that sand was given the same focus on the world stage as other global commodities such as oil, gas and precious metals.”

“The issue of sand scarcity cannot be studied in geographical isolation as it has worldwide implications,” said Lars L. Iversen, a research fellow at Arizona State University’s Julie Ann Wrigley Global Institute of Sustainability. “The reality and size of the problem must be acknowledged–and action must be taken–on a global stage. In a rapidly changing world, we cannot afford blind spots.”

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Boeing Outsourced Its 737 MAX Software To $9-Per-Hour Engineers

The software at the heart of the Boeing 737 MAX crisis was developed at a time when the company was laying off experienced engineers and replacing them with temporary workers making as little as $9 per hour, according to Bloomberg.

In an effort to cut costs, Boeing was relying on subcontractors making paltry wages to develop and test its software. Often times, these subcontractors would be from countries lacking a deep background in aerospace, like India.

Boeing had recent college graduates working for Indian software developer HCL Technologies Ltd. in a building across from Seattle’s Boeing Field, in flight test groups supporting the MAX. The coders from HCL designed to specifications set by Boeing but, according to Mark Rabin, a former Boeing software engineer, “it was controversial because it was far less efficient than Boeing engineers just writing the code.”

Rabin said: “…it took many rounds going back and forth because the code was not done correctly.”

In addition to cutting costs, the hiring of Indian companies may have landed Boeing orders for the Indian military and commercial aircraft, like a $22 billion order received in January 2017. That order included 100 737 MAX 8 jets and was Boeing’s largest order ever from an Indian airline. India traditionally orders from Airbus.

HCL engineers helped develop and test the 737 MAX’s flight display software while employees from another Indian company, Cyient Ltd, handled the software for flight test equipment. In 2011, Boeing named Cyient, then known as Infotech, to a list of its “suppliers of the year”.

One HCL employee posted online: “Provided quick workaround to resolve production issue which resulted in not delaying flight test of 737-Max (delay in each flight test will cost very big amount for Boeing).”

But Boeing says the company didn’t rely on engineers from HCL for the Maneuvering Characteristics Augmentation System, which was linked to both last October’s crash and March’s crash. The company also says it didn’t rely on Indian companies for the cockpit warning light issue that was disclosed after the crashes.

A Boeing spokesperson said: “Boeing has many decades of experience working with supplier/partners around the world. Our primary focus is on always ensuring that our products and services are safe, of the highest quality and comply with all applicable regulations.”

HCL, on the other hand, said: “HCL has a strong and long-standing business relationship with The Boeing Company, and we take pride in the work we do for all our customers. However, HCL does not comment on specific work we do for our customers. HCL is not associated with any ongoing issues with 737 Max.”

Recent simulator tests run by the FAA indicate that software issues on the 737 MAX run deeper than first thought. Engineers who worked on the plane, which Boeing started developing eight years ago, complained of pressure from managers to limit changes that might introduce extra time or cost.

Rick Ludtke, a former Boeing flight controls engineer laid off in 2017, said: “Boeing was doing all kinds of things, everything you can imagine, to reduce cost, including moving work from Puget Sound, because we’d become very expensive here. All that’s very understandable if you think of it from a business perspective. Slowly over time it appears that’s eroded the ability for Puget Sound designers to design.”

Rabin even recalled an incident where senior software engineers were told they weren’t needed because Boeing’s productions were mature. Rabin said: “I was shocked that in a room full of a couple hundred mostly senior engineers we were being told that we weren’t needed.”

Any given jetliner is made up of millions of parts and millions of lines of code. Boeing has often turned over large portions of the work to suppliers and subcontractors that follow its blueprints. But beginning in 2004 with the 787 Dreamliner, Boeing sought to increase profits by providing high-level specs and then asking suppliers to design more parts themselves.

Boeing also promised to invest $1.7 billion in Indian companies as a result of an $11 billion order in 2005 from Air India. This investment helped HCL and other software developers.

For the 787, HCL offered a price to Boeing that they couldn’t refuse, either: free. HCL “took no up-front payments on the 787 and only started collecting payments based on sales years later”.

Rockwell Collins won the MAX contract for cockpit displays and relied in part on HCL engineers and contract engineers from Cyient to test flight test equipment.

Charles LoveJoy, a former flight-test instrumentation design engineer at the company, said: “We did have our challenges with the India team. They met the requirements, per se, but you could do it better.”

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