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In Fulton County, it was discovered that 17,324 votes had no ballot images, despite the requirement of having an image to create a cast vote record and to tabulate. It is unclear whether the images were deleted, replaced, or if the votes were created without evidence. This discrepancy resulted in an additional 13,000 votes for Biden and 4,000 votes for Trump, giving Biden a net advantage of 9,000 votes. The margin of victory in the county was 11,779 votes.

Linda McLaughlin and her colleagues present a data-focused argument alleging election fraud in Georgia, supported by multiple data analyses and demonstrations. - Linda McLaughlin introduces the data integrity group and states that data is numerical and non-partisan; she aims to remedy a lack of presented data in the discussion. - Dave Labou, a lead data scientist, explains that their analysis across precincts, counties, and the state identified over 40 data points of negative voting or vote switching across candidates totaling over 200,000 votes. Separately, machine learning algorithms used for anomaly detection in fraud detection flagged over 500 precincts with over 1,000,000 corresponding votes showing suspicious activity. He emphasizes that the process is scientific and not tied to political affiliations. - Labou uses a banking analogy to illustrate data integrity concerns: in hypothetical online banking, deposits or withdrawals being redirected or split would indicate fraudulent activity. He applies this concept to voting data, arguing that the voting system data aligns with the Secretary of State data used to certify results, yet exhibits patterns akin to transfers and reallocation not authorized by voters. - He states that the data are publicly available but require advanced programming to extract, parse, and join datasets. Their independent team has made all analysis, programs, and data public to allow replication and has produced videos to translate the analysis for broader understanding. - A key claim is that receiving over 90% in a precinct is a marker for fraud; in Fulton County, more than 150 precincts voted 90% or more for Biden, and in the statewide race (decided by less than 13,000 votes), these 150 Fulton precincts accounted for 152,000 Biden votes, described as a clear indicator of suspicious or fraudulent activity. - Labou and team present a series of visuals and explanations indicating explicit vote count switching, e.g., in Dodge County, where Trump’s votes appear to be subtracted while Biden’s counts increase in tandem with county updates, leading to a shift in totals that would not appear in state totals due to timing of updates. - They reference adjudication as the review of ballots flagged during scanning, noting that only ballots with a contest causing questions about how the computer reads them are adjudicated. - In DeKalb County, they assert it is statistically impossible for nine out of ten voters to vote for Biden in 94 precincts. - They describe a data flow in Fulton County: poll pad check-in, ballot image saved on the machine, SD cards transported to drop-off locations, escorted to a warehouse, run through Democracy Suite, exported to a Dominion server, and inserted into a SQL Server database before transmission to the Secretary of State and data aggregators. - A critical point is the vulnerability within the county update data-entry process: the square box detailing data-entry options in the election software allows updating vote batches, projecting batches, and generating new or temporary batches that can be injected directly into the tally; these options can be validated and published, enabling potential manipulation before server upload. - They pose questions about validation: whether two observers from both parties were present during SD card transmissions and drop-off transmissions, and whether there is a public log of exchanges at drop-off points. They challenge why elected officials have not pursued these questions about voting integrity. - Labou notes the process is machine-to-machine and, by design, should not decrement sums; any decrement requires a robust explanation, and their data suggest negative drops are inconsistent with normal sequential processes. Speaker 2 clarifies the data sources (CITL election night data and Edison/New York Times data) and asserts that the process from poll pads to secretary of state is machine-driven, with no human entry of totals, thereby removing human entry error as an explanation for observed negative changes. Speaker 4 adds emphasis on the validation and potential vulnerabilities in the software options used for election administration, underscoring the need for transparency and inquiry into the electoral process.

In Gwinnett County, approximately 270 people went to a ballot box, but 1,862 ballots were deposited according to the custody document. After reviewing 24 hours of video footage, it was confirmed that 271 people approached the ballot box, but only 1,962 ballots were seen. The reason for this discrepancy is unknown. There were breakdowns in the process, and at the end of the day, two individuals were supposed to transfer the ballots into bags, but another person appeared and took the 1,962 ballots in two black duffle bags instead of the usual blue cooler. It is unclear who this person was. The supervision of this process falls under the responsibility of the secretary of state of Georgia. It was evident that nobody was intended to review these videos.

The 2020 election had 9,000 updates, with 4 extreme updates that had a less than 1 tenth of one percent chance of happening. These updates were argued to be human errors, but if they were corrected, where is the evidence? Some claim that the spikes indicate heavily democratic precincts, but California doesn't show similar spikes. The strangest anomaly is a consistent ratio of Biden to Trump votes across time, which seems theoretically impossible. This pattern appears in many states, suggesting a computer algorithm called weighted race distribution is involved. Diebold voting machines, known for giving values to votes, have been linked to vote switching in past elections. Dominion Voting Systems acquired Diebold's software. Eyewitness and video evidence in Georgia shows a poll worker named Ruby in a backroom filled with absentee ballots.

On election night, CNN experienced a switch in their reporting for Pennsylvania. The county source initially reported 1,690,589 votes for Trump and 1,252,537 votes for Biden. However, when Pennsylvania was shown again, the numbers changed to 1,670,631 votes for Trump and 1,272,495 votes for Biden. This indicated a vote switch of 19,958 from Trump to Biden. The process of transmitting votes involves precincts sending them to the county, which then goes to the state and cloud servers for live totaling. Data aggregators like Edison transmit this data to media companies. A similar vote switch occurred in Georgia, but further details were not provided.

Data analysts found unexplained ballot drop-off in key swing states after the 2024 election. In Arizona, there was an 80,000 vote drop-off in the presidential race; Trump won by 40,000. Georgia saw a 110,000 vote drop-off; Trump's margin was under 30,000. Wisconsin had 60,000 fewer presidential votes; Trump won by roughly 25,000. Nevada's drop-off was around 45,000 votes; Trump's margin was only 15,000. Pennsylvania had over 90,000 fewer votes for president; Trump won by 50,000. Kamala Harris was on the losing end of the drop off in every state. Over 40% of US counties used ES&S voting machines in 2024. ProVNV, a federally certified testing lab, approved last-minute software changes to these machines, labeled "de minimis," affecting ballot scanners, audit logs, and reporting software. A Rockland County, New York lawsuit demands discovery of machine logs, poll tapes, and ballots. ES&S is a private company that builds and sells voting machines. ProVNV is a private lab that approves changes to voting equipment.

Vote totals were altered through digital pre-election ballots using a program called Hammer and software named Scorecard, leading to significant nationwide changes. An algorithm was employed to adjust votes for Biden in specific areas, which explains a computer glitch in Michigan that resulted in a 55,100 vote shift in favor of Trump in one district. This raises concerns that similar software glitches could affect other districts in Michigan. Additionally, there have been reports of hundreds of thousands of ballots appearing exclusively for Biden, which seems statistically improbable.

In May, an alarm went off at a warehouse in Fulton County, Georgia, where evidence related to the 2020 election was stored. Deputies guarding the warehouse had left their posts, and when they returned, they found the 100-pound steel door open. Fulton County officials have refused to let the public see the ballots stored in the warehouse, but a lawsuit revealed that at least 36 boxes of mail-in ballots were double-counted, totaling over 4,000 votes. The Atlanta Journal Constitution also found hundreds of improperly duplicated ballots. Surveillance footage showed ballots being scanned multiple times, and audit tally sheets were falsified. Additionally, an expert found that nearly 35,000 voters in Georgia illegally voted in their old county. The lack of transparency and potential voter fraud undermines trust in the election process.

In Gwinnett County, there was a ballot drop box with a chain of custody document noting 1,962 ballots. This is unusual as we usually see around 10 times fewer. After analyzing the GEO data, we found that only 271 people approached the drop box during a 25-hour period. This raises questions about how 1,962 ballots were deposited. Video evidence shows election officials removing two full duffle bags containing the ballots from the drop box.

There was meaningful voter fraud in Fulton County, Georgia during the November 2020 election. At least 36 mail-in ballots were double counted, totaling over 4,000 votes. The Atlanta Journal Constitution also found that hundreds of ballots were improperly duplicated. Surveillance footage obtained by Voter GA showed ballots being scanned multiple times. Fulton County failed to provide over 100,000 audit tally sheets, and when they were finally turned over, falsified totals were discovered. A whistleblower noticed that the mail-in ballots had no creases and were filled out by a printer. Additionally, an analysis found that nearly 35,000 voters in Georgia illegally voted in their old county. These irregularities raise serious concerns about the integrity of the election.

In Fulton County, it was discovered that 17,324 certified results had no ballot images. It is unclear if the images were deleted, replaced, or if the votes were created without evidence. This discrepancy resulted in an additional 13,000 votes for Biden and 4,000 votes for Trump. The margin of victory was 11,779, so this discrepancy gave Biden a net advantage of 9,000 votes.

On election night, real-time vote totals were provided by data collectors like Edison to media companies. For instance, during a CNN broadcast, Pennsylvania's vote count showed a sudden switch: Trump had 1,690,589 votes, and Biden had 1,252,537. Moments later, the count changed to 1,670,631 for Trump and 1,272,495 for Biden, indicating a 19,958 vote switch from Trump to Biden, effectively making Trump lose nearly 40,000 votes. Votes are collected at precincts, which transmit results to counties and then to the state. All data is sent to cloud servers for live totals, which are then relayed to data aggregators like Edison for distribution to media outlets.

IT experts accessed a forensic image of the Dominion election management system in Mesa County, Colorado. They demonstrated how to switch tens of thousands of votes from Trump to Biden in seconds by changing the index number next to each candidate's name. They used a backdoor utility called SQL Server Management Studio, which is installed on the image of the voting system but not on the list of certified software. The experts showed how they flipped the results of the election with no trace of the activity being logged. In Pennsylvania, on live TV, Trump had 1,690,589 votes, while Biden had 1,252,537 votes at approximately 11:08 PM Eastern Standard Time. The next interval report, at approximately 11:09 PM, showed Trump's votes decreasing to 1,670,631, and Biden's votes increasing to 1,272,495. According to the report, live on CNN, exactly 19,958 votes were switched from Trump to Biden, meaning Trump lost 39,916 votes.

Speaker 0: Totals being awarded to Biden and Jorgensen's totals being awarded to Trump. After gaining access to a forensic image of the Dominion election management system in Mesa County, Colorado, IT experts demonstrate how easy it is to switch tens of thousands of votes from Trump to Biden in seconds by simply changing the index number next to each candidate's name. Speaker 1: This is a a backdoor utility called SQL Server Management Studio that is actually installed on the image of the voting system. So is it certified? It is not on the list of certified software. What I'm gonna do first, I'm just gonna pull up the presidential results in Mesa County for that election. And here they are. You can see Biden has 31,000. Trump has 56,000. K. So I'm gonna come up here now, and I'm going to make a quick change. Change that to a two? Yep. I'm changing Trump to a one. Okay. And then I'm going to come up here, and I'm gonna rerun the port. And there you go. Biden, 56,000. Trump, 31,000. So I just flipped the results of the election using a tool that's actually built in to the voting system. And what I did is not even logged. There's no trace of what I just did now. For some reason, the logging of activities by a user that has the password are not retained. Speaker 0: In Pennsylvania on live TV, Trump had 1,690,589 votes, while Biden had 1,252,537 votes. The time was approximately 11:08 Eastern Standard Time. The next interval report shows Trump's votes decreasing to 1,670,631 and Biden's votes increasing to 1,272,495. The time is approximately 11:09PM. Live on CNN, exactly 19,958 votes were switched from Trump to Biden. This means Trump lost 39,916 votes.

In May, an alarm went off in a warehouse in Fulton County, Georgia, where evidence related to voter fraud in the 2020 election was stored. Deputies guarding the warehouse had left their posts, and when they returned, they found the door open. It was later discovered that at least 36 batches of mail-in ballots were double counted, totaling over 4,000 votes. The Atlanta Journal Constitution also found that hundreds of ballots were improperly duplicated. Surveillance footage showed ballots being scanned multiple times, but the county claims these were isolated incidents. Audit tally sheets were falsified, and photographs showed unfolded ballots filled out by a printer. Additionally, thousands of voters who had moved out of their county still voted illegally. The lack of transparency and irregularities undermine trust in the election system.

Georgia's recount is being questioned due to the use of allegedly flawed auditing software. The program requires county elections directors to input their information into the secretary of state's system, allowing the state to dictate the results instead of the counties reporting to the state. Election monitor Garland Favorito expressed concern over this compromised audit process. He observed a significant increase in Joe Biden's vote count while Donald Trump's count appeared to decrease. Favorito found this discrepancy to be unrealistic and fundamentally flawed. The secretary of state's office has not yet responded to these concerns.

In Georgia, a poll worker named Ruby was caught on Instagram live secretly handling absentee ballots after media and poll workers were told to leave State Farm Arena. Ruby and four others stayed behind, pulling out boxes of ballots from under a table and distributing them to different counting stations. Meanwhile, in Fulton County, Georgia, five individuals are still working late into the night to scan and tabulate absentee ballots. A video shows Ruby and other workers running the same stack of ballots through the machine multiple times. Notably, there is a significant increase in Biden votes after this tabulation.

3% of pre-election voting ballots were changed using the HAMR and ScoreCard software programs, potentially causing a significant nationwide shift in the vote. An algorithm was also used to calculate additional votes for Mr. Biden in specific areas, like Michigan, where a computer glitch resulted in a 5,500 vote change in favor of President Trump in one district. Similar issues may have occurred in other states. Hundreds of thousands of ballots mysteriously appeared for Mr. Biden, which defies statistical probability.

During the election, data collectors like Edison provided real-time updates to media companies. In a CNN example, there was a live switch in reporting for Pennsylvania, showing a vote count change from 1,690,589 votes for Trump to 1,670,631 votes, and from 1,252,537 votes for Biden to 1,272,495 votes. This meant a 19,958 vote switch from Trump to Biden, resulting in a loss of almost 40,000 votes for Trump. The voting process involves precincts transmitting data to counties, which then goes to the state and cloud servers for live updates. Data aggregators like Edison transmit this information to media outlets.

In Georgia, a poll worker named Ruby was caught on Instagram live secretly handling absentee ballots after the media and other poll workers were told to leave State Farm Arena. Ruby and a few others stayed behind, pulling out boxes of ballots from under a table and distributing them to different counting stations. Meanwhile, in Fulton County, Georgia, five individuals are still working late into the night to scan and tabulate absentee ballots. A video shows Ruby and other workers running the same stack of ballots through the machine multiple times. Notably, there is a significant increase in Biden votes after this tabulation.

In Fulton County, it was discovered that 17,324 certified results had no ballot images. It is unclear if the images were deleted, replaced, or if the votes were created without evidence. This discrepancy resulted in an additional 13,000 votes for Biden and 4,000 votes for Trump, giving Biden a net advantage of 9,000 votes. The margin of victory in this county was 11,779 votes.

There was significant voter fraud in Fulton County, Georgia, during the November election, with over 4,000 mail-in ballots double counted. Voter GA's findings indicate that more than 3,300 votes were counted for Biden and 865 for Trump due to these discrepancies. The Atlanta Journal Constitution corroborated that hundreds of ballots were improperly duplicated. Surveillance footage shows ballots being scanned multiple times, raising questions about how many times votes were counted. An audit revealed falsified tally sheets, with discrepancies in reported vote totals. Additionally, over 200 mail-in ballot images were found that were not included in the hand count. An expert noted that nearly 35,000 voters had moved out of their counties before the election but still voted illegally. These issues highlight serious concerns about election integrity and the need for transparency in the electoral process.

Batch number 11 in Ware County was verified by human counters to go to Trump, but machine records showed it flipped to a Biden batch. The altered batch was then reproduced as fake batch 35. In the second machine count, the numbers were manipulated to maintain the result. Only 80 reconciled net votes for Trump were found in the hand and machine counts, leaving 70 unreconciled net votes.

Examples of statistical irregularities in election data reveal vote manipulation, particularly in Dodge County. Incremental vote counts for Donald Trump show discrepancies, with some votes appearing to switch or disappear. Notably, over 30,000 of Trump's votes vanished across Dodge, Daughtry, and Putnam counties. A specific instance in Bibb County, Georgia, illustrates this: Trump had 29,391 votes at one point, while Biden had 17,218. Shortly after, Trump's votes dropped to 17,218, and Biden's rose to 29,391, indicating a direct switch. Such manipulations can go unnoticed due to the time lag in state reporting, allowing discrepancies to appear neutral to observers.

IT experts accessed a forensic image of the Dominion election management system in Mesa County, Colorado. They demonstrated how to switch tens of thousands of votes from Trump to Biden in seconds by changing the index number next to each candidate's name. Using a backdoor utility called SQL Server Management Studio, which is not on the list of certified software, they pulled up the presidential results in Mesa County. Biden had 31,000 votes and Trump had 56,000. By changing the index numbers, they flipped the results, giving Biden 56,000 votes and Trump 31,000 votes. This action was not logged and left no trace. In Pennsylvania, on live TV at approximately 11:08 PM Eastern Standard Time, Trump had 1,690,589 votes and Biden had 1,252,537 votes. The next interval report, at approximately 11:09 PM, showed Trump's votes decreasing to 1,670,631 and Biden's votes increasing to 1,272,495. Live on CNN, 19,958 votes were switched from Trump to Biden, resulting in Trump losing 39,916 votes.