Speaker | Time | Text |
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unidentified
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Well, the virus has now killed more than a hundred people in China, and new cases have been confirmed around the world. | |
You don't want to frighten the American public. | ||
France and South Korea have also got evacuation plans. | ||
But you need to prepare for and assume. | ||
Broadly warning Americans to avoid all non-essential travel to China. | ||
That this is going to be a real serious problem. | ||
France, Australia, Canada, the US, Singapore, Cambodia, Vietnam, the list goes on. | ||
Health officials are investigating more than a hundred possible cases in the US. | ||
Germany, a man has contracted the virus. | ||
The epidemic is a demon and we cannot let this demon hide. | ||
Japan, where a bus driver contracted the virus. | ||
Coronavirus has killed more than 100 people there and infected more than 4,500. | ||
We have to prepare for the worst, always, because if you don't and the worst happens, War Room. | ||
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Pandemic. | |
Here's your host, Stephen K. Bannon. | ||
Okay, I want to thank the team at Real America's Voice for helping us produce this. | ||
Also giving us the bonus hour, the second hour of coverage, live from the Alliance Center in Sioux Falls, South Dakota. | ||
It's the, uh, it's the Cyber Symposium. | ||
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Mike Lindell, Mike, is also on the stage right now. | |
Captain Keschel, of the America First Audit Movement. | ||
The 3 November Movement is about to take the stage momentarily. | ||
We'll go right to Captain Seth Keschel when he's there for his live presentation. | ||
We're also going to do a floor interview with Dr. Shiva. | ||
unidentified
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I want to wrap up with my guest, Joe Ullman. | |
What is FEC? | ||
You actually head an organization. | ||
unidentified
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You're getting in trouble all over Colorado. | |
I am. | ||
You're a troublemaker, I can tell that. | ||
unidentified
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I'm absolutely a troublemaker. | |
So tell us what FEC is. | ||
Federal Elections Commission? | ||
No, it's not. | ||
unidentified
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Yeah, so FEC United is an organization that stands for faith, education, and commerce. | |
And so the idea is to restore those, the constitutional integrity to our communities and to stand up for those things most important, the pillars of our community. | ||
Those pillars would be what? | ||
Faith, education, and commerce. | ||
unidentified
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Yes. | |
Faith, just giving people the ability to get fed spiritually, education, making sure we stand up against this critical race theory, putting masks on our kids, gender fluidity, and all the things that they're trying to do to indoctrinate our children. | ||
You've dedicated your life to Jesus Christ? | ||
unidentified
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100%. | |
And how has your spiritual and religious beliefs helped you In this battle, because this is something you didn't need to be involved in, right? | ||
You were living your best life before then. | ||
unidentified
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I was living an amazing life. | |
And now if you actually gave the name, if you did not give the name of a former Antifa guy, you could end up in jail. | ||
Yes. | ||
How does your religion, how does your spirituality help you in that? | ||
unidentified
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So I believe that faith is the thing that defines me. | |
And faith is the thing that has gotten me through many hard times in my life. | ||
But more importantly, I believe that the sacrifice that Jesus made when he walked up the hill to his own death, he could have turned around and wiped it all out and ended the pain. | ||
But he did that for us. | ||
And so... | ||
You know, the sacrifice that I have to make for, you know, my kids and grandkids and generations I'll never know is worth it. | ||
And I think that the reason why I'm in this fight is because I believe that the American spirit, this experiment that we have in this country with democracy is worth it. | ||
So I just, I follow my faith, but I believe that the second part of that is to act in that faith. | ||
So that's what I'm doing. | ||
I'm acting in the faith and I'm following the path that God has put me on. | ||
And I'm never going to bring myself off it regardless of the consequences. | ||
Joel, man, you're a good man. | ||
And that's what we need right now. | ||
unidentified
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This has been a good minute. | |
This is the breach. | ||
Remember, courage is the most important of all the virtues because it's upon courage that all the other virtues rest. | ||
And I gotta tell you, you're emblematic of that. | ||
What we want to do, and we'll go to the stage now, the partner of Dave Clements is down, Captain Seth Keschel. | ||
If Real America's Voice wouldn't cut to the feed, let's go down here, Captain Cashel. | ||
Regardless of what discipline is used to find the fraud, that no one can refute. | ||
So if you want to understand at a high level what happened in this year's election, pay attention, take note, and of course, trust me, but verify. | ||
Go home, look these numbers up, and I think a lot of you are going to be surprised at what you learn here in this section. | ||
unidentified
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This is the map. | |
This one got a lot of recognition here in the last week. | ||
You may have seen President Trump last week put out a statement discussing my findings, in which I determined that there are a minimum of 8 million excess Biden votes nationally, not just in swing states or contested states, but based on population trends, registration data, especially when we have party registration information. | ||
Now, I promised you guys that there would be some big news about audits in this country, right? | ||
Did anybody see that? | ||
Okay, does anybody see a very large Republican state down in the bottom of this map, right in the middle, where somebody that might be briefing you dresses like he's from that state, Texas? | ||
Okay? | ||
So I've just received word from Representative Steve Toth, who is the author of the Texas Audits Bill, that our bill will soon have the full endorsement of Governor Greg Abbott. | ||
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So that is big news. | |
That is big news as we have this effort ongoing to find out just what happened in our 2020 election. | ||
Okay, the first point that I'm going to bring up, and of course the media will try to tell you, the media is going to try and tell you that bellwethers are not predictive. | ||
Okay, but what I'm going to show you is cause for concern that should cause anybody with a brain and the ability to put this information together to want to dig a bit deeper. | ||
So a bellwether, a bellwether is a leading indicator of a final election outcome. | ||
These counties here that I'm going to show you, There are 19 counties since 1980 that have been perfect in aligning with the winner of our presidential elections. | ||
In 2016, President Trump carried all 19 of these counties. | ||
You can see most of them are in your working-class states in the Northeast. | ||
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There's also four of them in Wisconsin. | |
And President Obama carried all 19 in both of his campaigns. | ||
All the way back to 1980, they've aligned with the winner. | ||
President Trump carried 18 of the 19 in 2020, with the exception of one in Washington, which I can assure you, and for those of you in the Washington delegation here, you already know Clallam County, Washington has some issues. | ||
So President Trump, once again, carries the Bellwether counties of 2020, and somehow has not won this election. | ||
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So it doesn't stop at counties. | |
Bellwethers can also be states. | ||
Is anybody familiar with some famous Bellwether states? | ||
I heard Ohio, I heard Florida. | ||
So Ohio's been perfect all but twice since 1896. | ||
But I can make that a bigger coalition for you when we're talking about bellwether states in a big group. | ||
Here's Iowa, Ohio, North Carolina, and Florida. | ||
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Since 1896. | |
These four states have been won by the same candidate on 13 occasions. | ||
And on all 13 occasions, they've gone to the winner of the election, whether elected for the first time or re-elected. | ||
President Trump carried all four of these states in 2016 and carried all four again in 2020. | ||
So why does this matter? | ||
Those four states represent a strong coalition of voters because our founders created the electoral college system to encourage coalition building. | ||
Otherwise, we would just be one giant electoral map between New York City, Dallas-Fort Worth, and Los Angeles looking for a popular vote win. | ||
These four states have urban, suburban, rural, white, black, Asian, Hispanic, every sort of voter demographic that you could possibly look for. | ||
And that shows that President Trump had a strong grasp on the overall electorate. | ||
Point number three, share a primary vote. | ||
Who in here votes in primaries? | ||
Primary voters are typically your dedicated voters, no matter whether we're talking about Democrats or Republicans or anyone really. | ||
These are your folks that are directing the party on platforms and making sure that the best candidates, well hopefully making sure that the best candidates are the ones that are being nominated. | ||
There is a very strong predictor here that has to do with turnout. | ||
Right now, the only arguments I hear against my points are COVID and high turnout. | ||
There are statistics that suggest where candidate turnout levels should be. | ||
So I'm going to show you four presidents here. | ||
Since primaries were introduced in 1912, these are the four presidents who ran in a primary and lost the subsequent general election. | ||
And the percentage you see here is the percentage of primary vote each of these men received. | ||
Hoover with 36, all the way over to Bush 41, who had 72.8% of the primary vote. | ||
A low number in the primary suggests that the base is not fully behind you. | ||
So if you remember George Bush losing in 92, he had a serious primary challenge, and even with a number like 73%, quite a bit higher than these other three, he was weakened going into the election against Bill Clinton, and of course he lost. | ||
So these are your four presidents since the primaries began who lost the election. | ||
On the contrary, these are three Republican presidents, and these are landslides in the general election, okay? | ||
So not just landslides in the primary. | ||
You see their primary vote shares underneath each of their pictures. | ||
You have Eisenhower with 86%. | ||
He went on to win 41 states in 1956, including Minnesota. | ||
Right, and then we have Nixon in 72 with 87%. | ||
He won 49 states, including, once again, Minnesota. | ||
That was the last time Minnesota has certified itself as a Republican state. | ||
And then Ronald Reagan with 99% in 1984, and we all remember that election, and I think there was one state he didn't win. | ||
Minnesota. | ||
Minnesota, okay. | ||
So there's some issues there as well. | ||
But these are numbers that show you a strong Republican candidate in a general election. | ||
So 86, 87, 99 percent. | ||
Those are some examples. | ||
Does anybody know what kind of numbers Donald Trump put up in the 2020 primaries? | ||
Okay, so you remember people were pouring out of their houses in the middle of the pandemic to go vote for Donald Trump in primaries. | ||
unidentified
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94%. | |
So, look, this is Trump's share of the primary vote with no valid contender to his nomination. | ||
94%. | ||
We've never had, since primaries began, we've never had a defeated president with a number higher than 72.8%. | ||
This is your, this is your enthusiasm number. | ||
Okay, so if we want to really reverse things, and you want to argue for high turnout on the other side, which I could show you any coalitions of states when I will, where it's not going to be possible mechanically for both parties to gain significantly. | ||
Joe Biden, does anybody remember how he did in Iowa? | ||
New Hampshire? | ||
Nevada? | ||
He was almost to the bottom of the pile, and his running mate didn't even make it to the Iowa caucuses. | ||
So you want to talk about a high turnout tandem? | ||
I don't think so. | ||
Point number four. | ||
So these go back quite a bit further than the points that the media will tell you about. | ||
Here's 1892. | ||
I doubt any of you were alive in 1892. | ||
I don't see any takers for that. | ||
So since 1892, no incumbent president has gained votes and not been reelected. | ||
Never has happened since 1892. | ||
The reason that is your cutoff date is because you have a slower growth of the union at this point. | ||
The states being added are frontier states without significant populations. | ||
Before that time, there have been presidents who gained votes because of the growth of the union and not been re-elected. | ||
Here is, since 1900, you can see the gain in votes from previous election for each of these presidents. | ||
Trump on the far right here with over 11 million votes gained. | ||
The two that are higher, you have Nixon in 1972. | ||
What happened in 1968, you had a significant third party challenger who took electoral votes and split the votes up. | ||
So you have much more to come over for Nixon in 1972. | ||
And then Bush in 2004. | ||
2000 is a very historically low turnout election, and 2004 brought us into a more modernized level of turnout, so you have a slightly higher number for Bush. | ||
But Donald Trump's total is way higher than the others on the screen. | ||
You even have three presidents who have not gained votes, actually two different presidents, FDR and Obama, in 2012, who lost votes and were still re-elected. | ||
Obama's loss in votes actually plays into some of the other stuff I'm going to tell you about these working class states and candidates like Mitt Romney. | ||
Voter registration by party. | ||
Who's heard me talk about registration by party? | ||
Extremely predictive. | ||
Extremely. | ||
It is much more accurate than polls. | ||
unidentified
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So why do we have issues with polling? | |
The polarization in the country right now causes serious issues with people wanting to speak to strangers about their political preferences. | ||
Maybe not you guys, you'll probably tell anyone what you think. | ||
But we're not everybody represented here. | ||
Social desirability bias. | ||
You know, the old suburban women people talk about. | ||
You don't want to talk to a stranger about this, so you wind up with a 43 to 39 poll. | ||
43 plus 39, you know, what do we get? | ||
We have another 18% unaccounted for. | ||
So how can you even call that a thorough poll? | ||
So, but we have registration by party. | ||
Does anybody state register voters by party here? | ||
Any registered Republicans from Texas? | ||
You're lying if you say you are, because we don't register by party. | ||
So the states that do, Pennsylvania, North Carolina, Florida, and some others, extremely predictive, going back decades, as far back as those records are available. | ||
Here's a blurb from Pennsylvania. | ||
From 2016 to 2020, just in general, in the four years preceding a presidential election, the party that makes gains in registration, is the party that performs best the next election. | ||
So a Republican state that advances in Republican registration will be more Republican. | ||
And this is almost without fail. | ||
And the opposite is true. | ||
You can see some states that advance in Democrat registration and you get a bigger margin. | ||
And this is also true at the county level. | ||
In Pennsylvania, from 2016 to 2020, who won Pennsylvania in 2016? | ||
Donald Trump won Pennsylvania in 2016. | ||
That was predictable, because in the four years prior to that, the Republicans had a very similar output of net new registrations. | ||
Not so from 2008 to 2012. | ||
They actually made gains in the registration rolls, but only because the Democrats lost more. | ||
The working classes were not interested in Romney, but you still had a five-point reduction in the Democrat margin of victory. | ||
But when the working class Republican came on scene, Donald Trump, you had numbers like this. | ||
So for the past four years in Pennsylvania, there were 242,000 net new Republican registrations and only 12,000 Democrat, which is a ratio of nearly 21 to 1, suggesting a massive Republican blowout, at least a Trump blowout, in Pennsylvania. | ||
This is a four-county sample in Pennsylvania. | ||
This is how it works out at the county level. | ||
These are four very strong Trump counties. | ||
So some of the other presenters have discussed their findings, their methodology, and their disciplines. | ||
So the focus has obviously been on cyber. | ||
Mine is at large. | ||
Mine can cover any potential issues with election integrity. | ||
These four counties together, from 2016 to 2020, Over 50,000 net new Republicans and negative 11,000 Democrat registrations. | ||
These four counties. | ||
But if you look at my numbers, I would estimate that Joe Biden has up to 68,000 excess votes in these four counties. | ||
We need to understand the political dynamics. | ||
This is why it's important to be able to understand it. | ||
So you locals that are here, you understand your states. | ||
Who's here from Pennsylvania or Michigan? | ||
Okay, these two states trend perfectly together and they have trended together without fail since 1932. | ||
Pennsylvania goes right, so does Michigan. | ||
Pennsylvania goes left, so does Michigan. | ||
You may not have known that. | ||
But in 2008, the blue lines here, these are the Democrat vote totals by year. | ||
2008 was the peak of the Democratic Party in what we now call the Rust Belt, or the Industrial Midwest. | ||
This is President Obama with eight years of a Republican administration sweeping him into office. | ||
With full command of the working classes, all the unions, record minority support, record minority turnout, soft Republicans, pretty much anything that he has at his advantage he was getting. | ||
And then you see it, beginning in 2012, this state trended Republican for Mitt Romney, but it wasn't because of Romney. | ||
Okay, it was because of the Democrat fallout in Pennsylvania, Michigan, Wisconsin, and even beginning in Minnesota. | ||
You have a drop in Democrat support, all of these, very limited Republican gains, if any, in these four counties, but then when Trump comes on the scene, you see the Republican vote share take off. | ||
And I'm referring to this Right here. | ||
Look at Luzerne County. | ||
Luzerne County is your bellwether of Pennsylvania. | ||
It has gone to the winner of Pennsylvania in every election since 1936. | ||
So Luzerne points to the winner of PA. | ||
Any Republican that has carried Luzerne has also carried Michigan since 1936. | ||
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And then Westmoreland County. | |
Population growth matters. | ||
Population growth goes hand-in-hand with new registrations if you have legitimate registration rolls. | ||
You're not likely to see both parties in the middle of a coalition shift. | ||
Growing substantially. | ||
But what we see here with these blue lines, this is your projected trend line for Biden based on party registration and Trump growth. | ||
The blue line actual is the certified total. | ||
So these Republican counties are being won by Trump but by a much smaller number than projected. | ||
And then you have Philadelphia much closer and able to do its thing because Rudy Giuliani will tell you Philadelphia is the kingpin of election fraud. | ||
But it wasn't possible without stuff like this. | ||
Pennsylvania and Michigan trend perfectly together. | ||
Here's an example statewide for Michigan. | ||
Remember what we talked about. | ||
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2008. | |
You have the peak of the Democratic Party in the industrial Midwest. | ||
Obama's here with a 17 point victory in Michigan in 2008. | ||
I'm sure anybody from Michigan remembers that very well. | ||
And then what we have here is the falling away of the working classes from the Democratic Party. | ||
This is a 300,000 vote loss going into 2012 in Michigan for Obama in his re-election. | ||
Four million votes lost nationally. | ||
But because of Mitt Romney's inability to connect with the working classes, you have. | ||
This flat line here. | ||
Not a substantial gain for Mitt Romney, but even so, the margin in Michigan tightens to nine points. | ||
So what I say when I say trend is Michigan began trending more Republican beginning in the midterms of 2010 and into the 2012 presidential election. | ||
So when a coalition shift fully comes together, you continue this. | ||
This is another 300,000 vote drop for Democrats going into 2016, but this time, the Republican nominee, Donald Trump, has a much more serious vote spike enough to flip the state. | ||
This is a state without a lot of growth going on. | ||
This is an area that trended Republican because of trade deals. | ||
These are not your typical Southern conservative voters. | ||
This is a coalition shift in the Midwest that is working class based. | ||
And once a trend like this goes into effect, confirmable by numbers you see in Pennsylvania party registration, very difficult to reverse. | ||
You're going to need a completely new political cycle to reverse something like this in this area. | ||
And Trump with a 400,000 vote increase in Michigan. | ||
So the last election he gained less than half that number and flipped the state. | ||
But this right here is a half a million vote increase after two consecutive elections of 300,000 votes lost by Democrats in Michigan. | ||
Here's your projected trend line even in a high turnout scenario. | ||
State of Michigan. | ||
Now you want to know why the Attorney General is threatening people with police activity for questioning the election of Michigan. | ||
Look behind me. | ||
Here's Macomb County. | ||
Same story here. | ||
Macomb County was won by President Bush in 2004. | ||
Pretty strong performance with the working classes, not quite enough to flip the state. | ||
And you see the same thing. | ||
Obama opening up a large lead there in Macomb County. | ||
He has command of the unions, all working class voters, record minority support, soft Republicans. | ||
And then we have the falling away of the Democratic Party in the region. | ||
This is a real thing and it's not just Michigan, it's Pennsylvania, Wisconsin, and Minnesota, Ohio, Iowa, you name it. | ||
And now we have the inversion here when Trump comes on scene. | ||
Macomb County is the home of the Reagan Democrat. | ||
So the people that put Donald Trump in the White House in 2016 voted for Obama two times. | ||
People need to understand that. | ||
These are oftentimes economic Democrats, people that are still registered as Democrats in Pennsylvania, Michigan, and Wisconsin that made these changes. | ||
Now we see Trump with a record Republican gain in Macomb County of 40,000 votes. | ||
So the last election Trump gained 33,000 votes here, the Democrat column lost 32,000 as a result. | ||
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Why? | |
A coalition shift is taking voters from one side and now they're voting for the other, meaning there are fewer voters here. | ||
And you see the same thing in reverse against Republicans in Northern Virginia. | ||
Amanda, I'm sorry to bring up Virginia like that, but it's true. | ||
In Fairfax County, Donald Trump still has fewer votes than George Bush had 16 years ago. | ||
That's a coalition shift against Republicans. | ||
This is the trend line for Biden in Macomb County. | ||
About 145,000 votes based on Trump's performance in the county. | ||
Instead, we have 224,000. | ||
This is a gap of 70,000 to 90,000 votes, depending on where your estimate lies in Michigan, in Macomb County. | ||
That county needs to be audited. | ||
And here are five other states, key states that register voters by party. | ||
All of these trended Republican Except for Arizona statewide, due to what I believe to be very curious roles in Maricopa County. | ||
But even so, since the presidential primaries, Maricopa County had a 1.3 to 1 registration edge for Republicans. | ||
And I spoke to a gentleman earlier today who said that the Republicans now in Arizona are outregistering Democrats 4 to 1. | ||
So there's a serious surge now for voter registration, understanding the importance of getting people involved in party politics. | ||
Number six. | ||
This is a good one. | ||
unidentified
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U.S. | |
House elections. | ||
Has anybody heard the phrase, a rising tide lifts all boats? | ||
So one would think with a large electoral landslide by any party, you could expect down-ticket effects to sweep in members of that person's party. | ||
Here's a few examples. | ||
1980, Reagan won by 10% popular vote. | ||
The Republicans picked up 34 U.S. | ||
House seats. | ||
This is a time, some of you may remember this, in which Republicans did not have a majority in the House for about 40 years, not until the contract with America in 94 did that change. | ||
Reagan re-elected in 84, humongous victory, and they pulled back, Republicans pulled back 16 House seats, net, that had been lost in the midterms in 82. | ||
And then for the sake of including the Democratic Party here in a landslide recently, you have Obama's large 2008 win, 7% popular vote win, brought 21 House seats for Democrats. | ||
So let's talk about 2020. | ||
How do we think? | ||
So 306 electoral votes is pretty impressive. | ||
I mean, especially given the level of polarization that we have today, it's not bad. | ||
How do we think the Democrats did in the U.S. | ||
House in 2020? | ||
Minus 13. | ||
Not one single Republican House incumbent was defeated. | ||
So everyone showed up to vote Republican down ticket, but make sure we put a new president in. | ||
The trend of Florida. | ||
Anybody from Florida here? | ||
Florida, Michigan, and Pennsylvania have strong correlation with their working class vote. | ||
The next slide I'm going to show you is a little busy, but it could be busier. | ||
This trend goes all the way back to 1932. | ||
The red and the blue, this represents the party that made gains in those states, not necessarily the party that won. | ||
George Bush carried Florida in 88, but I have it in blue because the state went several more points towards Democrats. | ||
8 points, actually. | ||
So you have a Republican state, but it trended blue. | ||
So likewise, Pennsylvania and Michigan followed Florida. | ||
So Florida was my lead indicator on election night. | ||
I was watching for a Trump win larger than 1.2%, which would suggest to me, based on 88 years. | ||
This is definitely going to interest you. | ||
and Michigan confirming Pennsylvania's registration trend would follow behind Florida. And of course for the first time in 88 years we had Florida went two points more Republican and Pennsylvania and Michigan backed off to the left. So the trend of Florida has serious correlation to what goes on in the industrial Midwest. This is definitely going to interest you. This is Trump's performance in the battlegrounds. So we could be talking about counties, we could | ||
be talking about states. Clearly in Arizona we're really talking about one county, although we could certainly make a case for for Pima County for a forensic audit as well and maybe that will happen. When a Republican candidate, when the Republican brand Loses steam. | ||
And you can see this pretty much as far back as you want to look. | ||
You see a flat lining of votes, which usually corresponds with registration data. | ||
And then you see a decline in Republican vote shares and then a coalition shift in the opposite direction. | ||
Not the gains that President Trump made in 2020. | ||
This is Maricopa County. | ||
Let me tell you what you're looking at here. | ||
You're looking at net votes gained from previous elections. | ||
In 2004, George Bush had a record Republican vote gain in Maricopa County of 199,000 votes from 2000. | ||
And then John Kerry had 118,000 more than Al Gore did. | ||
That is the Democrat record in Maricopa County for new votes gained in one election. 118,000. | ||
Barack Obama had 97,000 new votes from Kerry, then he was flat in 2012, then Clinton had 101,000 new votes from Obama's 2012 performance. | ||
You can see here that Donald Trump carried Maricopa County with fewer votes than Mitt Romney had four years prior, still carried the county. | ||
Now this year, This is a county that hasn't been Democrat since 1948. | ||
1948, a long time ago. | ||
Donald Trump says Republican record vote day coming in Maricopa County. | ||
unidentified
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248,000 new votes. | |
And then, 338,000 net new Biden votes from 2016. | ||
To win the state by 10,000. | ||
And then, 338,000 net new Biden votes from 2016 to win the state by 10,000. | ||
So this is why, even if you can't put it into words, why there's an audit going on in Maricopa County. | ||
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I was just in Georgia last week. | |
You know, the South is great for hospitality. | ||
I grew up in the South. | ||
Who's from Georgia? | ||
I know Candace was here earlier. | ||
Anybody from Georgia? | ||
No? | ||
Okay, so in a Republican stronghold, in a place like Texas or Georgia, a lot of the strength for the Republican Party comes out of suburban counties or ex-urban counties. | ||
These are turning into your new suburbs. | ||
You used to have Cobb and Gwinnett were these suburbs of Atlanta. | ||
So now they're becoming even more populated and of course people are spreading out further to counties that are further away. | ||
I want you to see the Republican brand. | ||
When there's not much enthusiasm for it, and you can really see it here in the, you can see it here in the middle. | ||
This is 2012, 2016. | ||
These five counties are ex-urban or suburban Atlanta counties, and these are Republican strongholds. | ||
The way the Republicans win Georgia is these counties and the rural areas overwhelm Atlanta, period. | ||
And if we ever get to the point where metro Atlanta overwhelms this, the Democrats do win the state. | ||
These counties here, Forsyth, Hall, Cherokee, Paulding, and Coweta, they grew tremendously from 2004 to 2008 from a small number of votes, which is why in two of these counties, you do have a higher percentage vote gain than we have for Trump in 2020. | ||
But remember, raw votes percentage, there is some change here. | ||
But we have Romney. | ||
Romney didn't motivate the conservative base. | ||
So we have some population growth that leads to vote growth. | ||
This is 10% vote gain, 20%, 30%. | ||
And then Trump. | ||
In states like Georgia, you have the Never Trump coalitions, and I'll show you in Texas, you have the same thing with the Ted Cruz grudge going on in Texas. | ||
You see this flat vote share for Trump, even with some population growth. | ||
Romney and Trump, here. | ||
So, the year we lose Georgia, the year Donald Trump loses Georgia with a modern gain, a record gain of $373,000 statewide. | ||
is when Trump goes 21 to 24 percent gain in all of these counties in 2020. | ||
These are the so-called suburban women who abandoned Trump, okay? | ||
These are the suburban voters who abandoned Trump with record gains on a record new population growth, so tremendous amounts of votes. | ||
And in Forsyth County, you may not see it on my slide because I don't want to make it too busy, but in Forsyth County, the Democrats grew their vote share by 80 percent. | ||
So you have a 14% loss in Republican margin in this county. | ||
So all these counties are anywhere from 7 to 14% margin loss for Trump with record vote gains in these counties. | ||
You're getting Atlanta closer to pull the absentee game by trimming margins in these counties. | ||
These are some Democrat strongholds throughout our country. | ||
Cuyahoga County. | ||
Anybody from Ohio? | ||
This is Cleveland County here. | ||
Okay, then we have Bronx and Manhattan, New York. | ||
And we have Cook County, Illinois, Chicago. | ||
This is percentage of votes gained from 2016. | ||
This gives you an example of how we have a very wide variance of support for Biden based in the major metros across the country. | ||
I could show you the same for Indianapolis, Baltimore, Boston. | ||
We have 4% Democrat gain in Cuyahoga County, Cleveland, less than 1% in Bronx, 4% in Manhattan, and 7% in Chicago. | ||
Now, of course, 7% in Chicago is still a pretty decent amount of votes. | ||
What do you think I'm about to show you next? | ||
Because this is blocking something out right here. | ||
I'm going to show you the four major Democrat counties in metro Atlanta. | ||
Cobb, Gwinnett, Fulton, and DeKalb. | ||
Compare to these four. | ||
You're going to see there's a lot of motivation in Georgia. | ||
So there's no matching trend here at all. | ||
And these counties are already large counties. | ||
This isn't like a brand new county that hardly had any voters, and now all of a sudden it's populated. | ||
Gwinnett County is a 46% gain for Biden. | ||
Fulton County, of course, is very high as well. | ||
We've seen what happened in Fulton County on election night. | ||
This is quite a disparity. | ||
Texas! | ||
All right, we all need to support everybody in Texas who's pushing for these audits, okay? | ||
It's great news today about the governor. | ||
But same story, same story in Texas. | ||
The Republican Party strongholds are your suburban counties outside of all the major metros. | ||
Houston, DFW, San Antonio, Austin. | ||
And then of course you have the rest of rural Texas, which packs a serious punch, but it's less than it used to be. | ||
88% of the vote in Texas is urban and suburban. | ||
So you're getting to a point where if you lose your strength in the suburban counties or in the ex-urban counties, Texas absolutely could be a state that has some volatility in the election totals. | ||
Here we have the same thing I showed you in Georgia. | ||
This is Harris County. | ||
So McCain underperformed Bush in raw votes in Harris County, even with the population growth. | ||
Romney barely up from McCain and then Trump seriously down in Harris. | ||
In Texas there was a significant issue between the Trump and Cruz factions in 2016. | ||
Serious issues and also a number of just your standard conservative voters didn't know anything about President Trump and believed the things that they read about him so you had a lot of third-party sit-outs. | ||
Well this year in Harris County I don't know if people might have warmed up to President Trump, but here's a 30% vote gain for President Trump after three consecutive elections of next to nothing or nothing or less. | ||
Hayes County, 40% growth. | ||
Tarrant County, the Republicans have not gained a vote from Bush 04 until Donald Trump gained a Republican record of 64,000 votes to lose this county for the first time since 1964 with a Democrat vote gain that was twice the previous record. | ||
In an energy county. | ||
Figure that one out. | ||
Williamson County. | ||
30% plus Trump gain. | ||
This county flipped. | ||
So did Hayes. | ||
Collin County. | ||
We have 6%, 6% and 2% growth in the previous three elections. | ||
For Trump to go grow 26% in Collin County and only win it by 4 points. | ||
That's typically a 15 to 20 point Republican county. | ||
So now you see why people aren't crazy for expecting Texas to be audited. | ||
Number nine. | ||
You've heard this one before. | ||
You can see it manifest itself in Miami-Dade County. | ||
You had a near flip of Miami-Dade County, and that was forecast by a slight Republican registration advantage, but driven by the conversion of former Democrats to America First voters. | ||
So the Cuban population, the Venezuelan population, Trump even did better with the Puerto Rican population throughout Florida. | ||
This is monumental, and it's also what led to South Texas and West Texas performing better for Trump than they did for George W. Bush, who was a hometown Texan in 2004 with the Hispanic vote. | ||
Richard Nixon had the highest modern Republican share of the non-white vote. | ||
Now, in 1960, most of the non-white vote was the black vote, 32%. | ||
Now the electorate is much more diverse. | ||
But Donald Trump, even if we can piece together what we can out of exit polls, which clearly, due to the issues with the election, are probably very inconclusive, We have at least 26% of the non-white vote going to Trump. | ||
This varies by region. | ||
You probably expect 40 plus percent of the Hispanic vote to be credited to Trump in places like Florida and Texas, which is skewed off by other states like California where the populations are slightly different. | ||
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And then finally, this tells me a lot. | |
Who's from Minnesota? | ||
Hey, we've talked a lot about Minnesota today, but did you guys know at 4 p.m. | ||
on the afternoon of November the 3rd, the Attorney General for Minnesota, Keith Ellison, put out a tweet begging people to go vote because we don't have the votes right now that we need. | ||
You're telling me you don't have the votes to win a state that's been in your column since 1972, only three hours before the state closed and went to Biden by as bad as Obama beat Romney. | ||
Okay, so what you pick up on the outside, this is the only piece of non-statistical information I'm going to give you. | ||
But what is going on with the media and the politicians regarding this election? | ||
Okay, Donald Trump carried Pennsylvania, Michigan, and Wisconsin by 78,000 votes total in 2016. | ||
Joe Biden carried Pennsylvania this year by 80,000, and he's in Pennsylvania urging people not to audit the state. | ||
80,000 votes should stand up, you would think, right? | ||
The best way to make all of these events, like this symposium, speakers like myself, go away, is to put the cards on the table. | ||
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So here's a few examples. | |
So Colorado, we've talked a lot about Colorado yesterday, thanks to the presenter. | ||
14-point Biden state, and the Secretary of State has banned all election-related audits. | ||
14 points. | ||
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Michigan. | |
The Attorney General wants to use the police to intimidate people who question the integrity of Michigan's election. | ||
And in Pennsylvania, of course, Mr. Once-all-the-votes-are-counted-Trump-will-lose-the-state Josh Shapiro. | ||
We have the President going to Pennsylvania to make sure that there's no audits. | ||
Alright, so 10 points about our elections. | ||
These have yet to be taken up by anyone in the press. | ||
This is an open challenge. | ||
This should, at least at a bare minimum, demand that we crack open the books, lay the cards on the table, and audit our election. | ||
So look, I'm equipping you with information. | ||
It's a very difficult thing to look at these numbers. | ||
and not question what we've lived through for the past nine months. | ||
Okay, this is not conspiracy talk. | ||
This is historical fact, which is why I encourage everyone, I encourage everyone to go check these numbers. | ||
Okay, they're thoroughly researched, double, triple, quadruple checked. | ||
Okay, go challenge these numbers. | ||
And then remember, it's up to you guys locally to make the difference. | ||
So we can stand up here and give speeches all day. | ||
You can find interviews on YouTube all day. | ||
But, you know, if not for the Robert Sutherlands of the world, who's taking a stand there in Washington State. | ||
unidentified
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State, Robert, please stand up. | |
He is driving forward in a state where the Republican Party lacks significant leadership. | ||
unidentified
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Thank you. | |
Looking to put these cards on the table there in Washington with no guarantee of success other than he's doing what he believes to be the right thing. | ||
Okay, so for the legislators that showed up here, I commend you for coming and for being willing to learn. | ||
There's many resources available for you here in the back and all throughout. | ||
This is what we have to do. | ||
So we are here not for parties and not for candidates, but this sacred process that we have is something that I just showed you has some serious holes in it and some serious issues. | ||
And we need to confirm for the people of this country that we have legitimate election systems, or we need to fix the things that went wrong. | ||
Okay, so I thank you all for your attention, and I thank you most importantly for your action. | ||
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Thank you. | |
Okay, we're back. | ||
We're back live at the Symposium in Sioux Falls, South Dakota, the Cyber Symposium. | ||
That was Captain Seth Keschel that just gave an incredible presentation. | ||
There's going to be a panel presentation. | ||
Dave Clements, who was sitting up here anchoring with me previously, is now going to, I think, do a panel. | ||
Let's go back to the main stage. | ||
Mike Lindell has just reappeared. | ||
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We're going to go down to Mike Lindell for the next part of this. | |
That's saying a lot. | ||
to get off stage things uh this has been something this could be the hardest couple weeks I've had this year and that's saying a lot. | ||
Yeah I'm gonna just go through while we're waiting on the panel what uh what we're gonna Thanks. I mean... | ||
I haven't even had time to look at all the fake news stories put out there, but I want to go through one more time what we hope to accomplish here. | ||
You know, and with Dr. Shiva that was up here, and telling you what they've done, that's kind of who's, how are they doing this absolute cover-up? | ||
How are they doing this cover-up? | ||
This is a big thing. | ||
How are they covering up? | ||
How did they, if you take away our right to free speech, it's over. | ||
So if we lose that, if you take the election, you take the election, then you take away people's right to free speech, and you got everything. | ||
Well... | ||
What you've just seen there, before I left, I assumed that you were seeing mathematical improbabilities. | ||
Right? | ||
Is that what you've seen? | ||
Basically, mathematical complete impossibilities. | ||
Well, and you've seen that with Dr. Doug Frank, too. | ||
That it's impossible. | ||
Well, that's just looking at deviations. | ||
Everyone in this country has to know that these are... Math 2 plus 2 always equals 4. | ||
And that's it, okay? | ||
And so if you know that, and then you say, well, you got, that's a deviation. | ||
And with the deviation, you have to have a different, you have to find out how that deviation happened, because a different input changes the output. | ||
Okay, in this election, we had, they had other variables with all the mail-in voting and all these things, but those aren't the deviations that, that, you could not explain the deviations just by mail-in voting. | ||
And by, and here's why, just use Michigan. | ||
I'll just explain a couple deviations that were unexplainable. | ||
In Michigan, you had a hundred thousand votes dropped in the middle of the night that all went to Biden. | ||
And you think of that as going, well, what did they tell us, the fake news? | ||
They said, oh, the mail-in votes. | ||
Everybody thought, wow, we've got to quit that mail-in voting because, you know, they intermined, oh, they cheated, or everybody made it easy for Democrats so they could mail in their votes. | ||
And that's not true. | ||
The mail-in votes were counted on the morning of the 3rd. | ||
So now I'm going to ask the same question. | ||
How did 100,000 votes come in in the middle of the night for Biden? | ||
And it was what? | ||
You know, this is the deviation you've got to look at. | ||
But one of the biggest ones I look at, this validates the machines that it had to be cyber. | ||
One of the things, and it's very simple, look at all the states where non-residents voted, that they reported this from the Secretary of State's office like Georgia. | ||
It goes on and on. | ||
If you went to all of them, they just haven't been looked at because the spread was too big or Donald Trump won. | ||
If you look at that map that I showed you yesterday with all the states, that every state was hacked, every one of them had non-residents that voted. | ||
Did you know that? | ||
Everyone that don't live there, you know, but those weren't Democrats or Republicans or jumping across the fence to vote. | ||
It's because they used the 2010 voter rolls. | ||
It's so simple. | ||
It's so simple. | ||
That's why you have more people that voted in counties than live there. | ||
These people really did move out of that state and their names were used. | ||
It's otherwise, it's impossible. | ||
This many people didn't go, I'm going to commit a crime today. | ||
Hey, don't you think we'd have heard about some people that would not want to commit a crime go, hey, they're planning to commit a crime. | ||
You know, they're going to go vote. | ||
It just doesn't, it wouldn't make sense. | ||
Nobody would do that. | ||
Especially thousands and thousands of people. | ||
Same way with dead people. | ||
You look back in other elections, dead people's names weren't on there. | ||
This is the only election, all of a sudden you have dead people everywhere that voted. | ||
They didn't get up and vote, and no one got on a pencil and went, hello, what's this guy's name, I'm gonna, and slid them through and got 8,000 votes through for dead people in one state? | ||
It had to be what? | ||
The 2010 census report that they took their names from that voter roll. | ||
That's why you heard, you heard Dr. Frank, I mean, Dr. Shiva. | ||
No, Dr. Frank. | ||
When Dr. Frank spoke, he went to every state. | ||
That's why every state is the same. | ||
You go to the first county, and you check the percentage of 25-year-olds or 70-year-olds, or pick any age, that same exact percentage that voted of 25-year-olds was throughout the whole state. | ||
That's impossible. | ||
Absolutely impossible. | ||
But they use the 2010 voter rolls. | ||
So that's very simple. | ||
That's why people explain, it explains basically the whole election. | ||
It explains like, this is so different that more people voted that live in the county. | ||
That's because the county, they moved out of the county from rural to urban, or people died. | ||
And if you look at every place in the United States, if we opened up and said, let's look at these voter rolls, why do you think, no, this is the cover-up, like Dr. Shiva said? | ||
I mean, Dr. Frank, he said all the Secretary of States now won't give you those 2010 registered voter rolls. | ||
I mean, the ones that came this time, the ones that they used in this election. | ||
They won't give it to you. | ||
They buried it. | ||
They stopped you from getting it. | ||
Well, there's a reason for that. | ||
They know, when he started coming out with his stuff, they're going, oh, wow, this is a cover-up. | ||
Look at it. | ||
It's the same in every state. | ||
Every single one. | ||
And it could only be done with computers. | ||
You can't explain. | ||
Every single state, if you looked at every one, look it up. | ||
There's one state, if you see his work, in Colorado, where more, I think I told this one yesterday, that was, it was an anomaly. | ||
It was a deviation from nor, even from the pattern. | ||
It was a deviation from the deviation, right? | ||
This massive deviation. | ||
And what it was, was, all of a sudden, only half the county voted. | ||
And they're going, what? | ||
We're looking at that. | ||
He showed me that one. | ||
And I go, so I don't get it, because he showed me, because I look at deviations. | ||
That's what I do every day with my pillow. | ||
I look at it, and here, all of a sudden, there's this one that's half, and he goes, they built a prison there since 2010, and half the county's in prison. | ||
So, you know, things like this, everything could get explained away. | ||
But, what it did, because you had that variable, the other variable of the mail-in voting, which everyone's saying, and then you had, sure you had stuff like Sucker Bucks, you know, little containers he put in cities to, so they could dump all these ballots in there. | ||
Now, did they use some for that? | ||
Probably, you know, that they used, because they needed to get, they needed to grab people from somewhere. | ||
When you use the 2010 voter rolls, and then you set the machines, and now China does this, they hack in, and they take, they spread it over 50 states. | ||
Now when Donald Trump was gonna win anyway, in spite of the algorithms, that's where it exposed them. | ||
That's where they had to shut everything off, all six states. | ||
Isn't, don't, isn't it weird? | ||
Kind of weird that all six states stop at the county at the same time. | ||
But what did they do? | ||
They convinced us that, oh, it's because we're living in a different time with COVID and, you know, and mail-in voting. | ||
They used that for excuse for every single deviation we've seen. | ||
Nobody said, but they all use different excuses. | ||
Georgia is a leaky pipe. | ||
This one over here. | ||
Oh, they have trouble counting this one over here. | ||
So you wake up in the morning and everything changed. | ||
Well, the biggest thing that lie was that the mail-in voting. | ||
It wasn't the mail-in voting because they counted them on the morning of the 3rd. | ||
So if you take that out, now explain it. | ||
That's what I'd like to, now explain it. | ||
Once you take out the mail-in voting was counted on the morning of the 3rd, explain what happened in the middle of the night on the 4th, on November 4th. | ||
On Pennsylvania, you could say, well, they did count their mail-in voting after that because they made up laws, you could count it all week. | ||
So you had all week to make up, I don't know, 850,000 votes. | ||
850,000 votes. | ||
And they're going, and they're showing you this little, these, you know, those big cities, the inner city, they all go for Biden. | ||
That's what they convinced us as, because they're using, what do we have out there? | ||
Dr. Chivas told you that, the censorship, which can also be used for the cover-up. | ||
And what they did there. | ||
So they all had to react. | ||
Each state that night, all had to react. | ||
Instead of using them algorithms, now you had to physically do things. | ||
You had to pump in these votes and add these votes and put stuff over windows. | ||
And because you didn't have the algorithms to back you up. | ||
If that wouldn't have happened though, we wouldn't be sitting here. | ||
Because we wouldn't have known about the machines. | ||
If they would have predicted right and not used those 2010 census reports, had better things that they had predicted right. | ||
Or actually, it's that Donald Trump got so many votes they didn't count on. | ||
So their racetrack got too short. | ||
But if that wouldn't have happened, we would have all went to bed at 3 in the morning. | ||
Biden would have won. | ||
We'd have never known the difference. | ||
And we'd have said, ah, those mail-in votes, you know, better luck in 2022. | ||
And I'm telling you, it wouldn't have been 80 million, or 81 million to 75, like they said. | ||
It'd have probably been like 75 if they'd have predicted right. | ||
You know, it would have been a lot less if they'd have known it. | ||
But they had no idea Donald Trump was going to get 80 million votes. | ||
And when you got that, So if you explain away deviations, like he's got mathematical impossibilities, I can now, there's only one way to explain away every single deviation in that election, I can go through and tell you now. | ||
This is, dead people didn't vote, their names were used, they really died. | ||
You know, illegal, you know you had some, let's say California, illegals voting. | ||
I'm sure you had a lot of organic stuff there, you know. | ||
And in fact, when we reveal tonight, we're going to reveal the actual final results of the whole country. | ||
And we're going to reveal that. | ||
And it's off by what I said. | ||
It's off on the low end of Biden. | ||
It's where I had Trump. | ||
I've been telling everyone $80 million to $68 million. | ||
I was off by some on the Biden's total, but that's not counting. | ||
Remember, this is just machine stuff extracted, not all the other stuff that went on in California where you had, you know, there's no IDs, there's just all kinds of stuff. | ||
Hey, come on in a boat, you know. | ||
We don't care you just came across the border and you're not even vaccinated, but I gotta try and take one, you know? | ||
But anyway, I just wanted to tell you, you can explain away. | ||
It's actually why I was so happy when I got the machine evidence on January 9th, because, you know, Dr. Frank, and then you had, you know, these mathematics out here with Captain Seth, These things, it was bothering me that all those weird things like, you know, people are good people in general, and you don't have 20-some thousand people from one state vote that weren't residents there. | ||
So there's only one answer in its computers, and that, it's so simple, you know, but to have the answer, and to finally get that, and then to find out how they did it? | ||
and know everything and then to have every single capture validated in evidence and which brings up another thing here because the news I haven't seen it but there have I've been I've been hearing all kinds of stuff out there on social media. | ||
One guy says, you know, these are from May 2021. | ||
This is the big one out there. | ||
One guy in the back said, I'm going to get the five million because, you know, the challenge is you need to show that this stuff is not from the 2020 election. | ||
OK, so some guys back there, look it, I open this up, it's from May of 21. | ||
Well, that's the stuff that's on the internet about what you heard this morning here with Dominion trying to cover up. | ||
I mean, the guy's a little mixed up back there. | ||
Keep your fraud together. | ||
This is Dominion trying to cover up. | ||
This is what Dominion did with China. | ||
Let's get it right. | ||
So we can straight out the media on that, but it's just everything you're reading out there. | ||
This has been amazing because it's all coming out and our voices are going to get out there And I wish I had time to go through. | ||
Maybe I will after this next panel. | ||
But let's bring him out. | ||
You guys ready to come on out? | ||
You're still here? | ||
This guy's a true brainy. | ||
He works non-stop. | ||
Non-stop! | ||
Since he got involved in this election. | ||
Love you, man. | ||
unidentified
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Fighting for our country. | |
Right on, right on. | ||
unidentified
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You want to be here next season? | |
Do you like it? | ||
And here is our cyber expert here on the end. | ||
unidentified
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I'm just giving her a full spotlight. | |
And I don't even know names. | ||
unidentified
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Jazza Smith. | |
What? | ||
unidentified
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Jazza Smith. | |
I went in there and I'm trying to help me. | ||
So, if she's been getting into details with this... | ||
Okay, we're at the Alliance in Sioux Falls, South Dakota. | ||
They're about to start a panel. | ||
This is going to go late into the night. | ||
On a programming note, stay on Real America's Voice. | ||
Go to Real America's Voice. | ||
Go over to the Rumble page. | ||
Live coverage on Real America's Voice. | ||
Of course, you can stay on warroom.org. | ||
We're also going to have the feed here live. | ||
Explosive revelations today from Sioux Falls. | ||
You had this entire situation with the raw data being shown from from Mesa County and Arizona Grand Junction. | ||
who was co-hosting for us in our first hour. | ||
Explosive revelations today from Sioux Falls. | ||
You had this entire situation with the raw data being shown from Mesa County and Arizona Grand Junction. | ||
A lot of controversy. | ||
Colorado is clearly in play. | ||
Going to be a lot of questions there. | ||
We're going to be back tomorrow morning at 10 a.m. | ||
Eastern Time, 9 a.m. | ||
Central Time. | ||
We're going to be live. | ||
We've got a jam packed. | ||
Tomorrow is supposed to be a little pivot, although I think they still got additional evidence they're going to show, additional data they're going to show in the morning. | ||
I think they're going to have additional panels that go through this to show exactly how it was stolen. | ||
Then Mike Lindell is going to segue into, really, what are the solutions to getting to paper ballots? | ||
Do you need machines at all? | ||
Do you need electrical machines? | ||
But they're going to show, I think, the direct linkage between how the Chinese Communist Party hacked it and what the data shows. | ||
So a lot of data analysis tonight. | ||
And clearly today, a very different day than yesterday. | ||
Yesterday kind of set the framework. | ||
Today started to deliver the goods. | ||
A lot more evidence, a lot more data to come. | ||
As Mike Lindell said, this is just the start of it. | ||
He's still got to convince A number of attorney generals to take up the case. | ||
He's first admit said, hey, if I got to do this over and over again, I'm going to do it until it becomes clear of what's going on. | ||
But one thing I want to say, the mainstream media is not reporting the determination here from the people that are involved in this move in the three November movement across the board to get full forensic cause every state. | ||
I've never seen more determination. | ||
Everything they're learning, you know, Panel by panel, discussion by discussion, data by data, is only stealing people's resolve. | ||
So, anybody that thought that it was going to end, did not. | ||
And for the MSNBC crowd, a duly note that Governor Abbott, Seth Keschel, who came on our show to counter some remarks that were made by executives in Texas, Governor Abbott is now, he said tonight, Governor Abbott's going to support the bill, Toth's bill, in Texas to get a full forensic audit of the entire state. | ||
That is a bombshell. | ||
Things are moving forward. | ||
So, progress, grinding, just a good old-fashioned grit. | ||
I'll tell you, it's a fantastic crowd here. | ||
We're so pleased. | ||
Really want to thank Real America's Voice, John Frederick's Radio Network, all of it. | ||
For helping you bring wall-to-wall coverage. | ||
We're going to be back. | ||
Stay on warroom.org right now. | ||
You get to see the panels. | ||
We're going to work into the night. | ||
Also go to Rumble, the Real America's Voice Rumble page. | ||
We'll return here tomorrow, 10 a.m. | ||
Eastern, the standard time for War Room. | ||
We'll see you tomorrow morning, 10 a.m., from the Alliance Center in Sioux Falls, South Dakota, the Cyber Emposium. |