Posted originally on the conservative tree house August 17, 2021 | Sundance | 465 Comments
The number of Americans trapped in Afghanistan is actually unknown. According to Pentagon Press Secretary John Kirby, somewhere around 5,000 to 10,000 are known, but the number could be 20,000. Those U.S. citizens are not at the airport in Kabul, and need to reach the airport in order to be evacuated.
Several media reports outline that the Taliban have checkpoints around the airport presumably looking for people who were aligned with the former government. Unfortunately, given the nature of media bias and previous propaganda, it is challenging to determine the level of risk or threat to any American. There have been no reports of Americans killed or taken hostage. Pentagon Press Secretary John Kirby outlines the current priority is to secure the airport, that’s what the additional troops are intended to do. WATCH:
…”Don’t underestimate Joe’s ability to f**k things up“… ~ Barack Obama
There is no such thing as “idiot proof.” As soon as you think you’ve developed an “idiot proof” system, you will discover Joe Biden.
Posted originally on the conservative tree house on August 16, 2021 | Sundance | 68 Comments
Arizona Senate President Karen Fann confirmed on Twitter today that Maricopa County auditors are preparing a draft report of audit findings that will be reviewed and verified by the state senate before release to the public.
According to OAN news, the report is likely to be released the week of August 22nd. “The team of forensic auditors in Arizona are set to release their preliminary report on fraud in the 2020 election next week. According to reports Sunday, state auditors will release their early findings the week of August 22.”
Posted originally on the conservative tree house on August 16, 2021 | Sundance | 797 Comments
Apparently, the communications goal from the White House team was to create a strawman argument around the decision to withdraw from Afghanistan, and totally avoid the main point of crisis right now being the method and manner of the withdrawal.
However, he went one step further which makes it worse.
Joe Biden blamed the Afghan people, currently being hunted in the streets of Kabul by the Taliban, for not availing themselves of earlier opportunities for evacuation at the time when Joe Biden and his Secretary of State were telling them the country was in no imminent threat of collapse.
…”I know that there are concerns about why we did not begin evacuating Afghans — civilians sooner. Part of the answer is some of the Afghans did not want to leave earlier — still hopeful for their country. “… [Full Transcript]
The entire speech delivered by Biden was a classic example of a non-sequitur argument. Biden kept defending his decision to exit Afghanistan (which few disagree with) while avoiding the massive crisis created by his unplanned and haphazard manner/method of exit. A point that was not missed by former President Trump:
Biden took no questions, ran away from the podium and immediately hopped back on the helicopter to escape back to his bunker in Camp David.
Joe Biden is an embarrassing joke, installed on our nation.
Posted originally on the conservative tree house on August 16, 2021 | Sundance | 790 Comments
The installed occupant of the White House is scheduled to deliver remarks to the nation explaining and justifying his complete failure to manage the U.S. military withdrawal from Afghanistan. Most analysts agree, the dementia riddled occupant is expected to mumble his blame toward Donald Trump.
The White House has turned a deaf ear to those who asked the administration to turn around the teleprompters so we can read the remarks ourselves. We will be forced to listen to Mr. Mumbles version of what the word assembly might be. The effort is scheduled to begin at 3:45pm Eastern Time. Livestream links below:
In early July, Joe Biden informed the American people of the coming drawdown of U.S. forces from Afghanistan after a 20-year occupation. The evacuation would be “secure and orderly,” he said, with little chance of a Taliban takeover. “The likelihood there’s going to be the Taliban overrunning everything and owning the whole country is highly unlikely,” he said.
Little more than a month later, the bumbling idiot with his feet in the oval office has been proven wrong on all counts.
Posted originally on the conservative tree house on August 16, 2021 | Sundance | 367 Comments
The crisis unfolding at the international airport in Kabul has reached horrific levels. Afghan nationals are swarming the airport in an effort to escape the onslaught, as Taliban fighters go door-to-door looking for people who have assisted the United States during the 20 year war.
At least seven people were killed at the airport, many fell to their deaths as they clung to the outside of U.S. C-17 transport planes. Horrific videos have surfaced showing desperation amid the humanitarian crisis. The AFP is reporting:
KABUL – […] Residents raced to Kabul’s international airport, where the “civilian side” was closed until further notice, according to Afghanistan’s Civil Aviation Authority. The U.S. military and other Western forces continued to organize evacuations.
Videos circulating on social media showed hundreds of people running across the tarmac as U.S. troops fired warning shots in the air. One showed a crowd pushing and shoving its way up a staircase, trying to board a plane, with some people hanging off the railings.
In another video, hundreds of people could be seen running alongside a U.S. Air Force C-17 transport plane as it moved down a runway. Some clung to the side of the jet just before takeoff. Another video showed several falling through the air as the airplane rapidly gained altitude over the city.
Senior military officials, who spoke on condition of anonymity to discuss the ongoing operation, told The Associated Press that the chaos left seven dead, including several who fell from the flight. (read more)
Posted originally on the conservative tree house on August 15, 2021 | Sundance | 135 Comments
During our previous discussion on historic, predictable and purposeful food inflation, on August 13th CTH noted “BigAg has likely already made deals for increases in government welfare payments (EBT and Foodstamps, WIC etc.). BigAg lobbies congress for higher reimbursement rates so they can raise the prices of food and export domestic product to other nations. Food assistance payments increase, and BigAg benefits. In essence, BigAg takes the fed food subsidies and fattens their profit margin. Then, they payback the politicians. It’s a circle of money.“….
If you know how the game is rigged, it’s actually easy to predict the background. Today, exactly on cue, several media outlets are now reporting that Joe Biden is going to increase the amount of food stamp assistance by 25% per recipient, and expand the program.
New York Times – WASHINGTON — The Biden administration has revised the nutrition standards of the food stamp program and prompted the largest permanent increase to benefits in the program’s history, a move that will give poor people more power to fill their grocery carts but add billions of dollars to the cost of a program that feeds one in eight Americans.
Under rules to be announced on Monday and put in place in October, average benefits will rise more than 25 percent from prepandemic levels. All 42 million people in the program will receive additional aid. The move does not require congressional approval, and unlike the large pandemic-era expansions, which are starting to expire, the changes are intended to last. (read more)
This announcement is actually revealing in more ways than just the predictability of it.
♦ First, the 25% permanent increase is an admission by the Biden administration that food price inflation is here to stay. The massive scale of the increase also highlights the actual reality of how much food prices are rising. This massive and permanent increase directly undercuts the previous White House and Biden claims that inflation was “temporary”, “transitional” and likely to end soon.
However, to that point… remember, in order for leftist ideologues (Alinskly types) to continue advancing their ideological belief systems they have to pretend not to know things. They pretend not to know inflation is higher than it is, because they must continue making claims that are counter to the reality around us.
♦ Second, no massive increase for those on fixed-income social security. This does not go unnoticed and should anger everyone who is seeing their standard of living crushed by these insane Biden fiscal, monetary and economic policies.
♦ Third, now you can see the fingerprints of the background quid-pro-quo that led to the GOPe DeceptiCons agreeing to the massive “infrastructure spending bill.” I can guarantee you McConnell, Thune, Barasso, Ernst, Grassley and crew already knew this massive hike in foodstamp and SNAP assistance was coming. This was the deal that bought their votes. This is what the DeceptiCons got out of it.
Part of the lobbying in the food industry by BigAg multinationals is to advocate for the expansion of U.S. taxpayer benefits to underwrite the costs of the domestic food products they control. By lobbying DC, these multinational corporations get congress and policy-makers to expand the basis of who can use Food Stamps, EBT and SNAP benefits (state reimbursement rates). Expanding the federal subsidy for food purchases is part of the corporate profit dynamic.
With increased taxpayer subsidies, the food price controllers (BigAg Multinationals) can charge more domestically and export more of the product internationally. Taxes, via subsidies, go into their profit margins. The corporations then use a portion of those enhanced profits in contributions to the politicians. It’s a circle of money.
(Politico) – The Biden administration on Monday plans to unveil a major permanent increase to the food stamp benefits that help 42 million Americans buy groceries — a record bump up for one of the country’s largest safety net programs.
The average monthly benefits for the Supplemental Nutrition Assistance Program will be roughly 27 percent higher than they were before the pandemic, starting Oct. 1, according to an administration official. That comes out to an increase of about 40 cents per meal. (read more)
NOTE: Wheat, corn and soybeans are the foundation of the U.S. food supply. They are primarily used as ingredients in processed foods, oils, and are fed to the cattle, hogs, and poultry that supply meat and eggs for the American diet. When those grain harvests go up in price, the downstream increase in price is far reaching.
Remember, there is no such thing as a “commodity” market in the free market sense of the word. Those commodity markets are now “controlled markets“, and fully under the control of massive multinational agricultural corporations.
MAY 2021 – […] “Americans should definitely expect an eventual rise in prices later in the year,” says Moya. “The surge with grain prices should not immediately be visible at supermarkets, since retailers absorb the initial increase. (But) eventually, the margin pressure will be too big and probably at some point late in the summer, Americans will start to take notice to some increases on grocery shelves.” (more)
Many Americans are recently awake to the singular ideology that surrounds DC politics. The UniParty political fraud also applies to our political economy. However, just like the election, understanding the deception in modern economics means understanding previous false and promoted assumptions.
♦The biggest lie in modern economics, willingly spread and maintained by corporate media, is that a system of global markets still exists.
It doesn’t.
Every element of global economic trade is controlled and exploited by massive institutions, multinational banks and multinational corporations. Institutions like the World Trade Organization (WTO) and World Bank control trillions of dollars in economic activity.
Underneath that economic activity there are people who hold the reigns of power over the outcomes. These individuals and groups are the stakeholders in direct opposition to principles of America-First national economics. Collectively known as “The Big Club”.
The modern financial constructs of these entities have been established over the course of the past three decades. When you understand how they manipulate the economic system of individual nations, you begin to understand why they were so fundamentally opposed to President Trump.
In the Western World, separate from communist control perspectives (ie. China), “Global markets” are a modern myth; nothing more than a talking point meant to keep people satiated with sound bites they might find familiar. Global markets have been destroyed over the past three decades by multinational corporations who control the products formerly contained within global markets.
The same is true for “Commodities Markets”. The multinational trade and economic system, run by corporations and multinational banks, now controls the product outputs of independent nations. The free market economic system has been usurped by entities who create what is best described as ‘controlled markets’.
U.S. President Trump understood what had taken place. He used economic leverage as part of a broader national security policy; and to understand who opposed President Trump specifically because of the economic leverage he created, it becomes important to understand the objectives of the global and financial elite who run and operate the institutions. The Big Club.
Understanding how trillions of trade dollars influence geopolitical policy, we begin to understand the three-decade global financial construct they seek to retain and protect.
That is, global financial exploitation of national markets.
FOUR BASIC ELEMENTS:
♦Multinational corporations purchase controlling interests in various national outputs (harvests and raw materials), and ancillary industries, of developed industrial western nations. {example}
♦The Multinational Corporations making the purchases are underwritten by massive global financial institutions, multinational banks. (*note* in China it is the communist government underwriting the purchase)
♦The Multinational Banks and the Multinational Corporations then utilize lobbying interests to manipulate the internal political policy of the targeted nation state(s).
♦With control over the targeted national industry or interest, the multinationals then leverage export of the national asset (exfiltration) through trade agreements structured to the benefit of lesser developed nation states – where they have previously established a proactive financial footprint.
Revisiting the economic influences within the modern import/export dynamic will help conceptualize the issues at the heart of the matter. There are a myriad of interests within each trade sector that make specific explanation very challenging; however, here’s the basic outline.
For three decades economic “globalism” has advanced, quickly. Everyone accepts this statement, yet few actually stop to ask who and what are behind this – and why?
Influential people with vested financial interests in the process have sold a narrative that global manufacturing, global sourcing, and global production was the inherent way of the future. The same voices claimed the American economy was consigned to become a “service-driven economy.”
What was always missed in these discussions is that advocates selling this global-economy message have a vested financial and ideological interest in convincing the information consumer it is all just a natural outcome of economic progress.
It’s not.
It’s not natural at all. It is a process that is entirely controlled, promoted and utilized by large conglomerates, lobbyists, purchased politicians and massive financial corporations.
Again, I’ll try to retain the larger altitude perspective without falling into the traps of the esoteric weeds. I freely admit this is tough to explain and I may not be successful.
Bulletpoint #1:♦ Multinational corporations purchase controlling interests in various national elements of developed industrial western nations.
This is perhaps the most challenging to understand. In essence, thanks specifically to the way the World Trade Organization (WTO) was established in 1995, national companies expanded their influence into multiple nations, across a myriad of industries and economic sectors (energy, agriculture, raw earth minerals, etc.). This is the basic underpinning of national companies becoming multinational corporations.
Think of these multinational corporations as global entities now powerful enough to reach into multiple nations -simultaneously- and purchase controlling interests in a single economic commodity.
A historic reference point might be the original multinational enterprise, energy via oil production. (Exxon, Mobil, BP, etc.)
However, in the modern global world, it’s not just oil; the resource and product procurement extends to virtually every possible commodity and industry. From the very visible (wheat/corn) to the obscure (small minerals, and even flowers).
Bulletpoint #2 ♦ The Multinational Corporations making the purchases are underwritten by massive global financial institutions, multinational banks.
During the past several decades, national companies merged. The largest lemon producer company in Brazil, merges with the largest lemon company in Mexico, merges with the largest lemon company in Argentina, merges with the largest lemon company in the U.S., etc. etc. National companies, formerly of one nation, become “continental” companies with control over an entire continent of nations.
…. or it could be over several continents or even the entire world market of Lemon/Widget production. These are now multinational corporations. They hold interests in specific segments (this example lemons) across a broad variety of individual nations.
National laws on Monopoly building are not the same in all nations. Most are not as structured as the U.S.A or other more developed nations (with more laws). During the acquisition phase, when encountering a highly developed nation with monopoly laws, the process of an umbrella corporation might be needed to purchase the targeted interests within a specific nation. The example of Monsanto applies here.
Bulletpoint #3 ♦The Multinational Banks and the Multinational Corporations then utilize lobbying interests to manipulate the internal political policy of the targeted nation state(s).
With control of the majority of actual lemons, the multinational corporation now holds a different set of financial values than a local farmer or national market. This is why commodities exchanges are essentially dead.
In the aggregate, the mercantile exchange is no longer a free or supply-based market; it is now a controlled market exploited by mega-sized multinational corporations.
Instead of the traditional ‘supply/demand’ equation determining prices, the corporations look to see what nations can afford what prices. The supply of the controlled product is then distributed to the country according to their ability to afford the price. This is essentially the bastardized and politicized function of the World Trade Organization (WTO). This is also how the corporations controlling WTO policy maximize profits.
Back to the lemons. A multinational corporation might hold the rights to the majority of the lemon production in Brazil, Argentina and California/Florida. The price the U.S. consumer pays for the lemons is directed by the amount of inventory (distribution) the controlling corporation allows in the U.S.
If the U.S. lemon harvest is abundant, the controlling interests will export the product to keep the U.S. consumer spending at peak or optimal price. A U.S. customer might pay $2 for a lemon, a Mexican customer might pay .50¢, and a Canadian $1.25.
The bottom line issue is the national supply (in this example ‘harvest/yield’) is not driving the national price because the supply is now controlled by massive multinational corporations.
The mistake people often make is calling this a “global commodity” process. In the modern era this “global commodity” phrase is particularly nonsense.
A true global commodity is a process of individual nations harvesting/creating a similar product and bringing that product to a global market. Individual nations each independently engaged in creating a similar product.
Under modern globalism this process no longer takes place. It’s a complete fraud. Massive multinational corporations control the majority of production inside each nation and therefore control the global product market and price. It is a controlled system.
EXAMPLE: Part of the lobbying in the food industry is to advocate for the expansion of U.S. taxpayer benefits to underwrite the costs of the domestic food products they control. By lobbying DC, these multinational corporations get congress and policy-makers to expand the basis of who can use Food Stamps, EBT and SNAP benefits (state reimbursement rates).
Expanding the federal subsidy for food purchases is part of the corporate profit dynamic.
With increased taxpayer subsidies, the food price controllers can charge more domestically and export more of the product internationally. Taxes, via subsidies, go into their profit margins. The corporations then use a portion of those enhanced profits in contributions to the politicians. It’s a circle of money.
In highly developed nations this multinational corporate process requires the corporation to purchase the domestic political process (as above) with individual nations allowing the exploitation in varying degrees. As such, the corporate lobbyists pay hundreds of millions to politicians for changes in policies and regulations; one sector, one product, or one industry at a time. These are specialized lobbyists.
It is ironic when we discuss corporate financial payments to government officials in foreign countries we call them corrupt. However, in the United States we call it lobbying, the process is exactly the same.
EXAMPLE: The Committee on Foreign Investment in the United States (CFIUS)
CFIUS is an inter-agency committee authorized to review transactions that could result in control of a U.S. business by a foreign person (“covered transactions”), in order to determine the effect of such transactions on the national security of the United States.
CFIUS operates pursuant to section 721 of the Defense Production Act of 1950, as amended by the Foreign Investment and National Security Act of 2007 (FINSA) (section 721), and as implemented by Executive Order 11858, as amended, and regulations at 31 C.F.R. Part 800.
The CFIUS process has been the subject of significant reforms over the past several years. These include numerous improvements in internal CFIUS procedures, enactment of FINSA in July 2007, amendment of Executive Order 11858 in January 2008, revision of the CFIUS regulations in November 2008, and publication of guidance on CFIUS’s national security considerations in December 2008 (more)
Bulletpoint #4 ♦ With control over the targeted national industry or interest, the multinationals then leverage export of the national asset (exfiltration) through trade agreements structured to the benefit of lesser developed nation states – where they have previously established a proactive financial footprint.
The process of charging the U.S. consumer more for a product, that under normal national market conditions would cost less, is a process called exfiltration of wealth. This is the basic premise, the cornerstone, behind the catch-phrase ‘globalism’.
It is never discussed.
To control the market price some contracted product may even be secured and shipped with the intent to allow it to sit idle (or rot). It’s all about controlling the price and maximizing the profit equation. To gain the same $1 profit a widget multinational might have to sell 20 widgets in El-Salvador (.25¢ each), or two widgets in the U.S. ($2.50/each).
Think of the process like the historic reference of OPEC (Oil Producing Economic Countries). Only in the modern era massive corporations are playing the role of OPEC and it’s not oil being controlled, thanks to the WTO it’s almost everything.
Again, this is highlighted in the example of taxpayers subsidizing the food sector (EBT, SNAP etc.), the corporations can charge U.S. consumers more. Ex. more beef is exported, red meat prices remain high at the grocery store, but subsidized U.S. consumers can better afford the high prices.
Of course, if you are not receiving food payment assistance (middle-class) you can’t eat the steaks because you can’t afford them. (Not accidentally, it’s the same scheme in the ObamaCare healthcare system)
Agriculturally, multinational corporate Monsanto says: ‘all your harvests are belong to us‘. Contract with us, or you lose because we can control the market price of your end product. Downside is that once you sign that contract, you agree to terms that are entirely created by the financial interests of the larger corporation; not your farm.
The multinational agriculture lobby is massive. We willingly feed the world as part of the system; but you as a grocery customer pay more per unit at the grocery store because domestic supply no longer determines domestic price.
Within the agriculture community the (feed-the-world) production export factor also drives the need for labor. Labor is a cost. The multinational corps have a vested interest in low labor costs. Ergo, open border policies. (ie. willingly purchased republicans not supporting border wall etc.).
This corrupt economic manipulation/exploitation applies over multiple sectors, and even in the sub-sector of an industry like steel. China/India purchases the raw material, coking coal, then sells the finished good (rolled steel) back to the global market at a discount. Or it could be rubber, or concrete, or plastic, or frozen chicken parts etc.
The ‘America First’ Trump-Trade Doctrine upset the entire construct of this multinational export/control dynamic. Team Trump focused exclusively on bilateral trade deals, with specific trade agreements targeted toward individual nations (not national corporations).
‘America-First’ was also specific policy at a granular product level looking out for the national interests of the United States, U.S. workers, U.S. companies and U.S. consumers.
Under President Trump’s Trade positions, balanced and fair trade with strong regulatory control over national assets, exfiltration of U.S. national wealth was essentially stopped. This is why Trump had to be eliminated, by any means necessary. There were trillions at stake.
The America-First economic structure put most multinational corporations, globalists who previously took a stake-hold in the U.S. economy with intention to export the wealth, in a position of holding contracted interest of an asset they could no longer exploit.
Perhaps now people will better understand how massive multi-billion multinational corporations, and the political institutions they pay for, were/are aligned against President Trump; and they will never relent in their need to see the risk he/we represents destroyed.
Posted originally on the Conservative tree house on August 15, 2021 | Sundance | 281 Comments
Random and related stuff that might help make sense of the next few days, weeks and months as the Taliban retake control of Afghanistan.
(1) The Muslim Brotherhood. Already reports from Qatar that MB leadership is heading back into Afghanistan. This is predictable. The Muslim Brotherhood is the political umbrella for authentic Islam (ie. extremists). The Brotherhood supports the al-Qaeda regional affiliates including the Taliban, al-Nusra, and others. Qatar is the financial center of the Muslim Brotherhood, and the Brotherhood is political Islam.
(2) China. Most people don’t realize that China shares a common border with Afghanistan and has issues with Islamic extremists and sympathizers. China has benefited from the U.S. in Afghanistan keeping the Taliban in check. A U.S. retreat now means China needs to engage with the Taliban to bolster their national security interests. China will establish diplomatic ties with the Taliban partly because Beijing uses duplicitous diplomacy as a strategy. [It ain’t because China likes the Taliban]
(3) Turkey. Unfortunately for Europe, Turkey is both a NATO member (stupid decision) and aligned in common cause with the Muslim Brotherhood. Turkish President Recep Erdogan has previously given safe harbor to the leadership of the Muslim Brotherhood upon their exit from Qatar, when the Gulf Cooperation Council (Saudi Arabia, Egypt, Kuwait, UAE, Oman, Bahrain) demanded Qatar stop supporting terrorists (the Brotherhood).
The EU will not want to recognize the Taliban, but Turkey most certainly will… regardless of what the EU wants, because Erdogan is aligned with extremist Islam. Europe is weak and always ends up acquiescing to the threats of Turkey; so don’t look for much other than pearl clutching from NATO members about it.
(4) Europe. As noted above, the EU doesn’t support Islamic extremism; however, the EU is now infiltrated with Islamic extremism, and the EU is too worried about cultural sensitivities to do anything about it. They will likely try another round of multiculturalism advocacy, which will likely end just like the last time with fracture and cultural crisis because the Islamic extremists attack, murder and rape too many EU people. It will be a mess again.
(5) Pakistan. The Pakistani government is already aligned in common purpose with the Taliban, and have been supporting them under the table the entire time the U.S. was in Afghanistan (See UBL compound etc). China has invested heavily in Pakistan and created reasonably strong ties. China needs the assistance of Pakistan to help leverage their need for regional national security from the Taliban in Afghanistan.
(6) Russia. Oddly Russia and the EU have the same outlook toward the Taliban in Afghanistan. However, where the EU is twisted in pretzel knots of political correctness, Russia is not. Look for Russian President Vladimir Putin to exploit his own interests in the EU via strength and a closer relationship. How? Because Russia can keep the Taliban and Turkey in check if the NATO members are blackmailed by Afghanistan and Erdogan.
*Note – NATO was formed to keep Russia in check…. and now we will likely watch Russia helping NATO keep their step-child, Turkey, in check. How’s that for some geopolitical irony?
Summary: Qatar (Muslim Brotherhood) will help the Taliban (al-Qaeda). China will form tenuous and conniving ties with the Taliban, likely relying on economics. Turkey will support the Taliban and look for help, eventually, to assist Erdogan re-attain the Ottoman Empire he lusts. The EU is stuck between Russia and a hard place (Turkey), and will likely end up on team Putin.
Joe Biden will eat jello…. and the leftists in the U.S. State Department will run to their proverbial Alamo, The United Nations.
Posted originally on the conservative three house on August 14, 2021 | Sundance | 142 Comments
Dr. Douglas G. Frank explains information he discovered as he reviewed election outcomes. Dr. Frank found the baseline for the 2020 vote was created by applying an algorithm that used the 2010 census to fabricate the illusion of registered voters at a state level (predetermined), and then results are controlled at a county level.
0:01 – So here’s how our elections are being stolen. In a nutshell, this is how our elections are being stolen. — Someone before the election decides what they want the outcome to be. It’s a decision ahead of time. — And then they make projections and they say “Well, we think this is what’s going to happen…” — So they want to regulate that at a county level to make sure they get the outcome they want. So what they do is they inflate the registration databases.
0:30 – Now this is before the election, and during the election, and after the election they’re manipulating the database. But beforehand they make an estimate of what they think is going to happen and they inflate the registration databases.
— So the beginning big hack… most of the hack of the election… takes place at this point beforehand. They inflate the registration databases.
0:51 – The reason they do that is because it gives them a credit line of phantom voters. In a nutshell this is how our elections are being stolen.
1:00 – Think about it. It would be a really stupid cheat to have an election happen and then afterwards you count the ballots and they don’t match the machine… That’s too easy. A recount is too easy of a thing to catch.
— So what they do instead is they bring a bunch of ballots and put them in. That way when the machines count the ballots they don’t have to cheat the machine. — The machine’s job then is not to flip votes… even though we do have cases with that… The machine’s job is just simply to report progress. — How are things going? Is it going as we predicted. If not, adjust it.
1:34 – And when you write a computer algorithm it does that kind of adjustment… It’s comparing to some target value. There’s a target value and then the computer is constantly checking saying “How is it going? Is it matching what we planned?” and then it’s constantly making adjustments.
— That’s why the machines are so important… And yes, absolutely the machines are connected to the internet. — And then before the elections they also have to program the machines.
2:01 – And just to tease it again, I’ve been going around the country talking to people in different states and every once in a while I will come across a county clerk who says “Oh no Dr. Frank, we follow all the guidelines. Our elections are totally secure.” — So I bring out the data. I show them the evidence. And they’re like “Oh, we were hacked huh?” Yup, you were. And then they’re not happy.
2:28 – And in several states now across the country people like that have said “Hey Dr. Frank, why don’t you bring your team in and let’s do a complete forensic audit of our machines.
— So you think that Maricopa is an audit? How would you like to do an audit where you have access to everything and nobody knows. — We go in we take complete images of all the machines, of all the digital software that are in them, of all the routers, of everything. — Before, during, and after the election. We record the activity during the election. — All of that at the request of the county people. We have those.
3:13 – And so it’s always kind of comical to me when people say “Oh yea, but our machines are not connected to the internet. We have an air gap between our machines…” It’s like… your phone has an air gap between your phone and the internet. Yea, right, okay. — It’s not real. Especially since we’re able to record the entire election through the internet during the election. Okay, we know they’re connected.
— So anyway. Get ready tonight.
3:45 – By the way, if someone knew that we had a complete recording of their election and it was going to expose a bunch of officials… What do you think might happen? Maybe we might have a few people that might want to come forward.
— Anyway so before the elections they program the machines. Yes?
4:09 – Then, during the election the databases continue to be hacked and tracked. — We’ve got several situations where, during the actual election, we were downloading the registration databases from the county levels and keeping track…
— And it’s amazing. You can see them adding voters… removing voters. Adding voters who request ballots and received ballots even though nothing has happened. — We’ve got records of all that happening in real time during the election.
— So that’s what’s happening during the election.
4:38 – And then after the election… You saw Patrick Colbeck sitting here. He’s been working in the state of MI for months and months on this. — He has a term for this. He calls it The “eharmony dot com” phase… — Because what happens is during the election they create all these voters… and then afterwards you have to put names onto them so that that way they can survive a subsequent audit. — So he calls that the eharmony dot com.
5:02 – So you’ll notice that the whole point here is that throughout the entire election their computer algorithm is operating. Every county in our country is essentially hacked. — Now the PCAPs (packet captures) and the electronic recordings we have show that they’re 3,009 so far.
— We haven’t even been been through all 37 terabytes. It’s just too huge of a job. It’s one of the reasons we’re having the symposium so we can bring in a bunch of cyber experts and they can help us.
— But we’ve got 3,009 of our counties already hacked. We’ve got evidence that they were hacked during the election.
5:35 – So there’s just no way that people are going to do that. It’s a computer algorithm that’s always operating that’s doing all that work.
5:45 – Don’t be afraid of that word algorithm. Algorithm is a word that we like to use in science because it’s just like a recipe. It’s a set of steps you do in order. But we like the word algorithm because that usually means there’s some equations mixed in… and some numbers mixed in.
6:11 – Now, how would you know if an algorithm was operating? — So here’s a simple way to know if an algorithm is operating. — Pretend you have a 20 sided die and you roll it 83 times. And you get a series of numbers… and you write them down.
— And so then you go over to the next county over in your state and you roll it 83 times again. And you get the exact same 83 numbers in the same order. — Is that normal? No. That ain’t natural buddy.
6:45 – And what happens is then you go to another county in your state and you get the same 83 numbers in the same order. You know that’s not real. You know there’s some kind of algorithm operating. Something is controlling what’s happening. That’s not natural.
— What if you go to every county in your state and they’re all the same? Then you know that’s not real. That’s how you can know. Now you don’t have to be a math genius, you just know… 83 times in a row? That’s just not right. — There’s a reason for “83”. I’ll tell you later. (See 22:58.)
7:20 – Let’s say we’re here in the state of South Dakota. What if I step over the border into Nebraska? — Let’s say we go into Nebraska and we start rolling the die… and as soon as we step over the border, instead of it being the same 83 numbers, it’s a new set of 83 numbers. — But every county in Nebraska has the same set of 83 numbers.
7:50 – And then let’s say we step over the border and go into Iowa and we have a whole new set of 83 numbers, but it’s the same in every county. — What you would know at that point is that the numbers are being decided for each state and that they’re being controlled in each county.
— That’s what’s happening in our election. The elections are being decided ahead of time by state and they’re controlled at the county.
8:23 – Okay so this is how I figured this out. — So because I teach at this special school for really bright kids… genius kids… it’s pretty fun… I call it recess. I go there a couple hours in the mornings during the week.
8:39 – I like to teach my differential calculus class… I like to pick a real example from real life… Because I can teach them all the calculus they’re supposed to learn in that year… probably isn’t a semester.. So I stretch it out and I put in real life examples. And we actually apply the calculus as they’re learning it.
8:55 – Number of People of Each Age in USA, 2010 – 2017 (Chart) — So this year in September I picked the United States Census. Why did I pick that? Well because all the talk is about the 2020 census. — So how do you analyze data like this? So I was teaching them how to use calculus… planning to teach them on the 2020 census when it came out. But all I had was the 2010 census.
9:18 – So I was studying the 2010 census and I prepared this graph in September before the election. And it’s a good thing because I think if I hadn’t been doing that I wouldn’t have figured this out. — And I think it’s a Divine appointment.
9:36 – So you’ll notice in the census what they do is that bat curve, the blue curve, that’s from 2010. That’s the 2010 census. And that’s the last detailed census of the whole country before the election. — And then you’ll notice that what they do is each year the United States Census just shifts it one year. Only they don’t just only shift it, they attenuate it for mortality. Because 90 year olds don’t just become 100 year olds. Some of them die off.
— So that’s what the census does. These are data from them. This is not me doing anything. I’m just showing you what they provide.
10:10 – And I’d been studying this. So all this was fresh in my mind when Kathy Barnette asked me to go to PA and study her data because her election had been stolen. — So this was all fresh in my mind.
10:23 – Pennsylvania, District 04 (chart) — Okay, so let’s just talk about her district. Pennsylvania, District 04. One of the most corrupt in the country. Another Divine appointment.
— Notice what I’ve got across here is a graph. This is 0 to 100 years old. And then here is 0 to 12,000. — How many people of each age are there? And you can notice, you can kind of see there’s some wiggles and bumps. Here are the Baby Boomers and then people pass away. — But you notice, not everybody gets to vote. Right? — Because you have to take out the 0 to 17 year olds and not everybody above 18 gets to vote. There’s about 4% of people you have to take out.
11:01 – So this is who’s registered… I mean this is who… an eligible voter in PA District 04. About 550,000 people. — Well here’s who’s registered to vote in PA District 04. (Chart shows 97.9% registered.)
— And when I showed this to the board of elections people and the legislature in PA they all said “What? No, no, no, no, no that can’t be right. It should only be 60 or 70% of the people registered.” — Yea. The election people themselves don’t know this has happened.
11:40 – So in other words, nearly everybody is registered and they didn’t even know it. — And so that’s a warning flag… that they don’t even know. — This is supposedly who voted in PA District 04. — And whenever I show this to people they say “Dr. Frank, from about 50 years up those curves look really a lot alike. The red curve just looks a little smaller than the black curve. What’s up with that?” Yea. I agree. Something’s wrong with that.
12:11 – In fact if I multiply the black curve by 86%… You notice it superimposes right on the red curve pretty well. It’s surprisingly well so of course as a scientist I know something called the correlation coefficient, this “R” number. I’ll tell you about that in a little bit. And definitely that’s a warning flag that it’s so high.
12:38 – Let me tell you about correlation coefficient. — So if a correlation coefficient is “1”, then that means it’s a perfect correlation. It means one set of data predicts another set of data perfectly. — If the “R” is “0”, that means it’s completely random versus each other. — If it’s “-1” it means one goes up, one goes down.
12:57 – So anytime you have a correlation coefficient near “1”, which this is, that’s not natural. It’s something that’s going on that’s making the two agree with each other.
— In medicine, in anything to deal with people… If you get correlation coefficients in the .7, .8 range, you’re doing amazingly well. Because anything to do with sociology or medicine, anything to do with people is usually really low. — In physics, if you’re between .8 and .9, you’re doing amazingly. — To get .99, that ain’t natural buddy.
13:31 – Alright so… this is PA District 04… except I’m showing you now the 2010 census. I’m about to compare it to PA District 04. — But this is actually the 2010 census. What I did is I shrunk it though, so that it’s the same size as PA, District 04. It’s not millions of people. It’s thousands of people.
13:55 – Now notice when I shift it 10 years to the right… because it’s not 2010 anymore, it’s 2020… and I include the mortality just like the census does… — Let me just go back so you can see me do that. I’m just going to shift it to the right and include a little mortality.
14:14 – See what I did? Because why would I want to do that? Well because it isn’t 2010 anymore. It’s 2020.
14:23 – So now when we add who’s registered in PA District 04… — This was my first clue that they were using the census to inflate the registration rolls. — Now if you think about that it totally makes sense. — Let’s say you want to add a bunch of people to a county. You want to add a bunch of phony voters. Are you just going to add a million 60 year olds? No that would stick out like a sore thumb.
14:53 – You have to add a certain number of each age. Well how many do you add? What do you compare it to? The census. And you use the best census available, the 2010 census. — You shift it 10 years. You attenuate it to the size of the county and you fill up to there.
15:11 – And if you do that, if you fill up to there… you’ll notice it’s going to take on the shape of the census.
— And a couple of the distinguishing features are these 2 peaks on the side and this peak here. — You’ll see those in every county in the country in the registration database… Because they’re filling up to the census. — So it’s like a fingerprint in every county. And I’ve done thousands of counties now across the country and it’s in every county. And you’ll notice that ain’t natural buddy.
15:45 – So now I’m just going to teach you a little math. I’m going to make up a pretend county and then I’m going to show you some real data. — So this is the census. Back to the real census again. And you’ll notice that it basically is about 4 million people of every age and then people naturally remove themselves from the voter rolls. That’s a joke. — I’ll try that again.
16:10 – So you’ll notice there are about 4 million of every age and then people naturally remove themselves from the voter rolls.
16:20 – So here’s my pretend county. And you’ll notice I’ve given 15 people of every age until they’re about 60 and then they naturally remove themselves from the voter rolls. — That’s a pretend county and it has 1,275 people in it. And the reason I picked that number is because if you take out the kids (17 and below), you end up with exactly a 1,000 people in my imaginary county. Eligible voters (18+, 1000) — And my supermoms are always saying “Dr. Frank, you’ve got to make the math easy.”
16:50 – We have 1,000 people in our imaginary county. And you’ll notice about 15 people of every age and then they die. — Now a certain percentage of those are going to be registered to vote. And I just picked this number, 13/15ths, or 87% because it fits with some other data.
17:11 – But I’ll tell you the story. When I first was developing these slides I have a dear friend who was my roommate in college who worked for Newt Gingrich for 30 years. — I was practicing on him and showing him these slides. And he said “Oh Dr. Frank, that’s a really bad example.” “Why is that Mark?” He says “Well, there’s no way a county has 87% registration.”
— I’ve already shown you much more than that huh? So in other words, a guy who’s a political expert and he’s been doing it for 30 years thinks this is ridiculous. But boy did he have something to learn didn’t he?
17:44 – Okay. And then a certain percentage of those that are registered will vote. — If I assume that’s 70%… Then you’ll notice you’ve got your population here; and then you have who is registered to vote; and then who actually voted. Make sense?
18:01 – By the way, if you know the blue curve (population) and you know the percentage (% registered to vote), you can get the black curve (# registered to vote). — If you know the black curve (# registered to vote) and you know the percentage (% registered to vote), you can get the red curve (# ballots / actual votes).
— If you know any of the curves and you know the percentages (% registered to vote), you can get any of the other curves.
18:22 – That’s how I was able to leave PA with a set of algorithms in my hand, not knowing anyone who was registered in the state of OH… and I predicted every county in the state of OH before I even knew.
— And Mike was talking about that because I was bragging how great OH was right? “Oh, yea we got to figure it out in OH… we have secure elections.” Nope. I was able to predict them all. Then I realized, nope, this is everywhere.
18:50 – And I have to admit, you know, as a scientist you’re supposed to be skeptical of yourself. And I was. I could predict all these counties in PA. — And so the state legislators, they said to me “Well, Dr. Frank have you tried any other states?” And I said “Well, no. I’ve been assuming all the corruption is here in PA.” — And they said “Why don’t you try another state where you think there isn’t any corruption?” — “Okay, I’ll do OH.” And then I was able to predict all of them. — I tried FL. Nope. 14 counties then in FL. Oops. — NC. Oops. — CO. Oops. Everywhere I was going.
— And so I was starting to doubt myself a little bit. Like wait a minute. Is there something else going on here that I’m not thinking about because how can I go around predicting this everywhere, especially in states that I think Trump won? … You would think there is no manipulation here.
19:47 – Then I meet Mike Lindell and he talks about his electronic evidence and the fact that at the time he had 2,800 counties worth of incursion data. — Oh. Now I understand. There are computer algorithms operating in every county in the country. No wonder I can predict it everywhere.
20:06 – Alright. Now here’s a real county. This is Hamilton County, OH. This is right near me. This is Cincinnati. It’s a big county. So these are real data now. Not makeup data. — You’ll notice we have age across bottom again… And how many thousands of people of each age. You can see the Millennials and the Baby Boomers nice and clearly. — This is OH now not PA.
20:28 – Here’s who’s registered to vote in Hamilton County, OH. — Oops. When I showed this to the board of elections director in Cincinnati she was shocked. — She’s like “How did that happen?” Exactly.
— Do you know why these people don’t know this has happened to them? Because these are big data sets. These are hard to work with.
20:53 – And what’s happened is the election companies give them software that allow them to work with their databases. The software that they’re given doesn’t do this. The software that they’re given just gives them totals and lists.
— And so they’re not used to even being able to do this. — It takes a data geek. It takes a scientist. It takes someone that likes graphing and exploring data to begin to do this. So just showing them this is a shock.
21:17 – By the way, just while we’re here… You see these 2 peaks on the side… that’s the census isn’t it. It’s the breadcrumbs of the census peaking its way in.
21:27 – Alright, so that’s supposedly who’s registered. That’s a warning flag (#1).
21:32 – By the way, I’m not the only person to figure this out. — In October, Judicial Watch published an article before the election showing that 353 of our counties in the United States, in 29 states, had voter registration more than the population. — Why did we let this happen? We were being told that our election was being hacked. We all didn’t listen. We didn’t understand.
22:07 – So back to Cincinnati.. — Here’s who supposedly voted in Cincinnati. Do you notice a pattern? Just like in PA from about 50 years off. It’s about a perfect match. — Let’s just compare that to make that easy for you to see.
22:22 – And if we give that number… I just chose the same number there that I did in PA, 86%… If we call that number the Registration Key… — Think of it like a code. You’ve got one set of data and you have a key to break that code that allows you to convert this set of data to this set of data. — And so that number would be 86%. That’s like a key. How do you convert this to this. You use that key.
22:48 – And the fact that that repeats… the same thing that happened… in a different state. This is OH now. The first thing I showed you was PA. (Warning flag #2.)
22:58 – But we wouldn’t have to have only one number. We wouldn’t have to have just 86%. — We could have a percent for every 18 year old, a percent for every 19 year old, a percent for every 20 year old. We could have a different percent for every age. That would be 83 numbers. — You’ve heard 83 before. 83 numbers… 18, 19, 20, 21, 22, all the way up to 100. You’ve got 83 numbers.
23:22 – So let’s say we had 83 numbers… And we could call that the key instead of just one number. It’s a collection of 83 numbers. (You need a different proportion for every age. Together they define the “Registration Key”.) — And if we do that this is what you get. — The black curve (predicted ballots) is what I would predict you would get. — The red curve (ballots) is what we actually observed.
23:40 – And when I show this to people, they wisely noticed “Well, hey Dr. Frank, if you can just get 83 numbers you should be able to make it fit perfectly. How come it doesn’t quite fit perfectly?” — Well the answer is because I didn’t use Hamilton County to get my percentages. I used Franklin County. And I used those percentages for every county in the state of OH. And it’s the same in every county.
24:07 – And this is what those 83 numbers look like. From 18 up to 100… 83 numbers. 83 percentages. — And when I show this to people they’re like “Wait a minute. That’s a smooth curve. You mean the percentages from 18 to 100 vary smoothly?” — Yes. In fact that’s called a 6th order polynomial.
24:30 – We scientists like polynomials to describe things. And what’s so fun about that is if I had put these data into Excel, which I did… I made this graph in Excel… And I right click on it and I say “Add a trend line.” Then it will say “Well what kind of line would you like to put in? Would you like it to be a 2nd order polynomial, or a 3rd order polynomial?” — And you start adding. This little scroll button… You click on it… 4th order, 5th order, 6th order.
24:59 – When you hit 6th order it won’t go any higher. It’s stuck there. Because 6th order is as high as Excel goes. — And guess what… Every state in our country I can predict this way with a 6th order polynomial.
25:10 – In other words … America was stolen by an Excel spreadsheet.
25:20 – Okay. So lets go back to this again. — So you notice, once I know the percentages … If I know one thing I can get all the others. Yea? — So all I have to do is go into any state, look at one county, and I can predict all the others… Because every state has its own key.
25:40 – Just like in the state with rolling the die 83 times. It works in every county in that state. But when you go into a new state it’s a new set of 83 numbers. So every state has its own key. Make sense?
25:54 – Okay. So, I had to pick a state so I just picked OH. Just to kind of let you see. — Now, what I’m going to do in this set of 88 slides… They’re going to go by really fast. It takes 1 minute to play. — What you want to look at is you can look at the “R” factors… How good it’s correlating… — Or you can look at these bottom two graphs (predicted ballots & ballots) — Or you can look at the black curve. (registrations)
25:16 – Let’s just review what they are: — The blue curve is the population of a county. — The black curve is who’s registered in that county. — The red curve is who’s supposedly voted in that county. — And the blue curve underneath is my prediction.
26:31 – Now what’s fun about these set of data is I’m going to make the prediction two different ways: — I’m going to make the prediction based upon the population. Pretend I don’t even know who’s registered. I’m just going to make a prediction based upon the population. — And then I’m going to make a second prediction if I did know who was registered.
26:49 – So I’m going to show you two graphs for every county. And they’re going to play… boom, boom, boom, boom… It takes about a minute to play or something like that. — And what you’re going to be looking for is these bottom two graphs. — And you’re going to notice that the population prediction isn’t quite as good as the registration prediction.
— But it makes sense. Because if I have to start from here to get to here I have to go through two numbers. So it’s harder to predict. — I can go straight from there to there. That’s one way of predicting. Or I can go from the black to the red. — So I’m going to predict them both ways for you.
27:22 – Prediction video. (88 slides) — So this is all of them. And I know it’s a lot. But I just want you to see that every county is predictable two ways. — Now I have been doing this across the country. And what I like to do is I like to get the data for a particular state; and do all the analyses; and then we release it in the state and people get all freaked out. And they say “Hey, we got a problem.” Yea, you got a problem.
27:55 – And then I’ll come out there and I’ll meet the supermoms and we have a few events. I meet with a few key legislators. We plan our event. — A couple weeks later there’s a big event. The public is all worked up about it and we have a movement going.
28:11 – Right now I’ve done that in 13 states in person and I’m working with 30 total states. Our supermoms are kicking butt I tell ya.
28:33 – (Colored map of the U.S.) — Alright, so here’s the thing. I’ve explained this to you. Now this is really just a top level analysis. I’ve got all kinds of other analyses that go down… In fact, I’ve got analyses that will take you right down to the precinct level and you can knock on doors and find phantom voters. -But this just gives you the overall view so you kind of know what’s happened.
29:09 – (Responds to a question.) That isn’t what these predictions are. Keep in mind, to predict them I have to be able to get in the minds of the people who decided ahead of time what they wanted the outcomes. — It’s not as easy as you think because sometimes the people getting elected are… you wonder, why would they elect that… you know… That’s a whole other discussion. Which we need to have that discussion.
29:35 – Okay, so I’ve just explained to you how our elections are being stolen. Now how do you explain this to your friends. — It’s hard without the graphs. — So I told you about rolling a die 83 times. — Here’s another way to explain it to your friends and I developed this metaphor with my supermoms.
29:50 – Blonde Hair Analogy — Let’s say you’re in the state of OH. Imagine you’re in the state of OH. Easy to do for the ladies in my state. — And let’s say the 2020 census just came out. And you look at it and it says that 10.0% of the people in your county have blonde hair. — And then you go to the next county over and you look at the 2020 census and it says 10.0% of the people there have blonde hair.
30:33 – And that’s a little puzzling because you’re Amish and they’re Mexican. You know as a county it’s kind of strange that they would be exactly the same percentages. — But you keep looking around the state and every single county has 10.0% blonde hair. — That just doesn’t make sense does it. You would think something is wrong with that.
30:52 – So you look at the next state over. You look at PA. And 13.4% of the people there in the very first county have blonde hair. — Now wait a minute. Everybody in OH was 10.0%, but now suddenly it’s different? — And every county in PA is 13.4%?
31:10 – So you go to FL and now every county there is the same but different than the previous. You know something is wrong with this don’t you. — You go over to CO and it’s a new percentage, but every county has the exact same percentage of blonde hair.
31:23 – You know that can’t be right. You know that it’s being decided at a state level and controlled at the county level. So that’s a way to explain that.
31:33 – But it’s worse than that really. Because you remember that 10.0%? — Imagine if that was just for 18 year olds. What if you have a different percentage for 19 year olds; and a different percentage for 20 year olds; and a different percentage for each age all the way up to 100.
31:51 – And they were all the same in every county and state. — And it didn’t matter whether you were in a large county, small county, urban county, rural county, black county, white county, green county, doesn’t matter… — The same percentages in every one. You know that isn’t real. That’s not natural.
— So that’s a simple way for you to explain to your friends. Just use the blonde hair analogy.
32:14 – Now the reason I’m going around the country is cause I’m a firm believer in the people. If they’re given the truth, they can be depended upon to meet any national crisis.
— Is this a national crisis? Yea, I think we just lost our country. — Mr. Lindell in the movie Scientific Proof… We did that together… About 15 minutes in he said “It’s a good thing that we lost the election or we wouldn’t know we lost our country.” — I wouldn’t have even have looked at this. That’s another Divine appointment.
32:42 – The great point is to bring them the real facts. And bringing them the real facts is what I’m trying to do and what Mr. Lindell is doing.
— Now the problem is I learned the bitter lesson that legislatures aren’t going to save us. — I learned the bitter lesson that our legal system isn’t going to save us. — No one is coming to save us. We are the people we are waiting for.
33:10 – And if I’ve learned anything from last year, politicians don’t start parades they join them. So you have to be the parade. — And it’s not that the politicians are evil, its they need you. They’re good politicians who need you to start the parade and need you to be in the parade… need to build the parade so that they can accomplish their legislative agenda.
33:36 – I’ve seen several politicians here this week and they’re going to be heroes, but we need to equip them and we need to start the parade for them. -So that’s what I’m doing. I’m going around starting parades.
33:47 – So I’m a physicist, so I like to use metaphors. So let’s pretend that this piece of aluminum… just a piece of aluminum. This is United States… this piece of aluminum. — And here is me spreading the truth. That’s not the microphone working, that’s really annoying like that. And I can make that really loud and really annoying. It’s kind of annoying. And it’s all pervasive.
34:21 – So this is America. This is the truth resonating in America. We just have to make it really annoying. We just have to make it unbearable. We just have to keep getting louder and not let them silence us. — So that’s it.
Posted originally on the conservative tree house on August 11, 2021 | Sundance | 73 Comments
During day #2 of the Mike Lindell Cyber Symposium, political statistician Seth Keshel gave a presentation highlighting historical voting data. {Direct Rumble Link}
As noted by Keshel there are ten statistical anomalies indicating vote fraud and manipulation in the 2020 election. WATCH:
Posted originally on the conservative tree house on August 11, 2021 | Sundance | 301 Comments
Oh dear. According to Hunter Biden the Russians have sex tapes of him doing “crazy f**king sex stuff” from drug fueled parties in Las Vegas where Russian drug dealers were partying with him.
As the story is told in his own words three Russian drug dealers were partying with him for several days with prostitutes, drugs and various debauchery; and when he woke up from passing out one night, all the recordings on his laptop were gone along with the laptop itself. “They have videos of me doing this,’ he said, referring to the filmed sex he just finished. “They have videos of me doing crazy f***ing sex f***ing, you know.”
(The Daily Mail ) – Hunter Biden claimed Russians stole another one of his laptops for blackmail while he was close to overdosing in a Las Vegas hotel room, DailyMail.com can reveal.
The alleged incident would mean Hunter lost a total of three computers – the first abandoned at a Delaware computer store and the second seized by federal agents – each likely to hold sensitive information on President Joe Biden and the embarrassing pictures, videos and communications of his son.
The third laptop still appears to be missing – and was taken by Russian drug dealers after they partied with Hunter in Vegas, he told a prostitute in a conversation caught on camera.
After filming himself having sex with the woman using his laptop in January 2019, Hunter left the camera rolling as he recounted a Vegas bender in which he spent ’18 days going round from penthouse suite to penthouse suite,’ sometimes costing $10,000 a night.
‘I spent f***ing crazy amounts of money,’ Hunter said. ‘I was with these guys. The one guy was, not like you anyway… each night he’d be like ‘there’s going to be so many people here, crazy f***ing party’ and each night it’s nobody.’ (read more)
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This is a library of News Events not reported by the Main Stream Media documenting & connecting the dots on How the Obama Marxist Liberal agenda is destroying America
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