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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.

Between 9:11 PM and 9:32 PM on CNN, there were significant vote swings in the election. Joe Biden started with 706,000 votes and dropped to 300,000, while Trump went from 371,000 to 292,000. Biden then increased to 871,000, while Trump had a sudden increase to 413,000 before dropping again. These fluctuations raise questions about how votes can decrease and why there were so many errors. The video highlights a 19,000 vote switch in Pennsylvania and questions the number of errors across the country and who is responsible for them.

In Georgia, over 200,000 mail-in ballots were found to have been voted but never marked as returned. About 96,000 of these ballots were never marked as returned but were still voted. This issue was not limited to just a few counties, as it was seen across the board. Additionally, some ballots were shown as voted before they were even received back by the county, which is not supposed to happen. These irregularities raise concerns about the legality of these 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.

3% of pre-election voting ballots were altered using HAMR and ScoreCard software, potentially impacting the national vote. An algorithm was used to adjust votes for Biden in specific areas, like Michigan where a glitch favored Trump by 55100 votes in one district. Similar issues are suspected in other states with thousands of ballots appearing for Biden, statistically implausible.

In this video, the speakers discuss an example of vote switching in Georgia during the election. They explain that there was a clear switch of vote totals between Donald Trump and Joe Biden in Bibb County. They mention that this type of switch can go undetected in state reporting if it falls between state updates. The speakers then analyze the underlying data and identify deductions in votes for Trump in Pennsylvania. They emphasize that these deductions should not occur in an election. By closely analyzing the data sources, they aim to understand what really happened in November 2020.

The video highlights instances of vote manipulation in the election database, specifically focusing on Donald Trump's votes. It reveals that votes for Trump were switched and removed from his total, making it appear as if there were no changes. In three counties, over 30,000 votes for Trump disappeared. The video provides a clear example of this manipulation, where Trump's votes were switched with Biden's in a matter of minutes. This type of manipulation can go undetected in state reporting due to the time lag between each state update.

In Georgia, over 96,000 mail-in ballots were voted but never marked as returned. This issue was found across multiple counties, indicating a widespread problem. Additionally, some ballots were voted before being received back. These irregularities suggest potential illegal votes.

In the early hours of November 4, 2020, Joe Biden received major vote spikes in Michigan, Wisconsin, and Georgia, putting him in the lead. These spikes occurred during a 5-hour window when counting reportedly had stopped. The updates in question did not follow typical patterns and were particularly extreme. For example, in Michigan, Biden received 141,258 votes compared to Trump's 5,968 votes in a single update. A similar situation occurred in Wisconsin, where Biden went from trailing by over 100,000 votes to taking the lead with a single update. In Georgia, Biden received 136,155 votes while Trump only received 29,115 votes in another update. These spikes were larger than the margin of victory in all three states. Critics argue that these spikes were human errors, but there is no evidence to support this claim.

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.

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.

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.

Between 9:11 PM and 9:32 PM on CNN, there were significant vote swings during the election. Joe Biden's votes dropped from 706,000 to 517,000, then increased to 871,000 and dropped again to 495,000. Meanwhile, Trump's votes went from 371,000 to 413,000 and then down to 292,000. The speaker questions how votes can decrease when they should only be added. They highlight the possibility of errors, mentioning a 19,000 vote switch in Pennsylvania and questioning the number of errors nationwide and who is accountable for them.

This video highlights statistical irregularities and vote manipulation within the election database. It focuses on the example of Dodge County, where there were strange occurrences in the vote counts. Specifically, votes for Donald Trump were being switched and removed from his total, often coinciding with other updates to make it appear neutral. Across three counties, Trump lost over 30,000 votes. The video provides a clear example of vote count switching at the county level, where Trump's votes were swapped with Biden's. This type of manipulation can go undetected in state reporting if it falls between state refreshes.

A Georgia drop box averaged 60,000 ballots a day. Over Columbus Day weekend, 19,000 votes were counted from that drop box. However, surveillance showed only 24 people visited the drop box. This discrepancy suggests potential illegal ballot harvesting in Georgia.

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.

In Mesa County, Colorado, IT experts demonstrate how easy it is to switch thousands of votes from Trump to Biden using a backdoor utility in the Dominion election management system. The tool allows them to change the results without leaving a trace. In Pennsylvania, live TV footage shows nearly 20,000 votes being switched from Trump to Biden, resulting in Trump losing almost 40,000 votes. The manipulation occurs within minutes, highlighting vulnerabilities in the voting system.

In Georgia, over 200,000 mail-in ballots were found to have been voted without being marked as returned. Around 96,000 of these ballots were never shown as received back by the county. This issue was seen across multiple areas, indicating a widespread problem. Additionally, some ballots were voted before being received back by the county, which is not supposed to happen. These irregularities suggest potential illegal votes being counted.

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 were significant vote swings on election night between 9:11 PM and 9:32 PM. Joe Biden's votes fluctuated dramatically, dropping from 700,000 to 517,000, then rising to 871,000, while Trump's votes increased from 371,000 to 413,000 before plummeting to 292,000. This raises questions about how votes can decrease when they should only increase. While human and machine errors can occur, the scale of these discrepancies—like a 300,000 vote swing—seems excessive. In Pennsylvania, a 19,000 vote switch was noted, but many similar instances across the country prompt concerns about the integrity of the election process. How many errors are acceptable, and who is responsible for these discrepancies?

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.

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.

Speaker 0 presents a video focused on data and evidence of alleged irregularities in the 2020 election, asserting that there has been no comprehensive place to see widespread fraud until now. He states the video is “pure data” and invites viewers to consider the statistical anomalies in three states (Michigan, Wisconsin, Georgia) in the early hours of 11/04/2020, when Biden received major vote spikes after trailing Trump. - He analyzes 8,954 individual vote updates and identifies a clear statistical pattern across nearly all updates, with four notably aberrant updates: two in Michigan, one in Wisconsin, and one in Georgia, all occurring in the same five-hour window in the middle of the night when counting reportedly stopped in some places. - In Michigan, a 06:30AM update shows Biden at 141,258 votes to Trump’s 5,968, described as the most extreme update in all datasets across all states, followed by a noticeable ratio change in nearby updates. In Wisconsin, a single update allegedly moved Biden from trailing by over 100,000 votes into the lead. In Georgia, a 01:34AM Eastern Time update shows Biden at 136,155 to Trump’s 29,115. They claim these four spikes exceed the states’ margins of victory, making the spikes not only abnormal by percentage but also by magnitude. They conclude that if these four unlikely updates had not happened, the presidency could have been different. - Detractors are cited as arguing human error, but the video questions where evidence of corrections is, and notes that California shows only one anomalous update in percentage, not enough magnitude to shift outcomes. - A “consistently identical ratio of Biden to Trump votes across time” is highlighted as allegedly impossible, with a Florida example showing 100 identical ratios over several days. The video asserts a computer algorithm is involved, termed a weighted race distribution, associated with Diebold voting machines (known as early as 2001), implying values rather than simple counts. - In California, a single update is shown with Biden receiving about 65% and Trump 32% for one vote, raising questions about how one vote could go to more than one candidate. Speaker 0 then links these patterns to alleged connections between Diebold and Dominion Voting Systems, claiming Dominion acquired ESNS in 2010, which had previously acquired Diebold, and that Dominion’s software is licensed from Smartmatic. They also note that forensic audits show errors and that the mainstream narrative claims these issues are misinformation. They reference NBC News and PBS findings on how easy it is to hack voting machines or cast fake votes. Next, Speaker 0 notes eyewitness and video evidence from Georgia: poll worker Ruby allegedly was filmed in the backroom with absentee ballots, and at 10:30PM on November 3, media and poll watchers were told to leave, yet Ruby and others remained, pulling ballots from under a table and distributing them to counting stations. They describe Ruby running the same stack of ballots to the machine three times, observing a large Biden surge after 01:34AM Georgia time, and question whether a ballot can be counted more than once, citing Coffey County, Georgia as an example of someone claiming to scan the same batches repeatedly. Speaker 0 references Raquel Rodriguez, arrested for election fraud in Texas over video evidence of ballot harvesting, and asserts that cybersecurity evidence indicates Dominion and Edison Research used an unencrypted VPN with easily accessible credentials allowing foreign access, asserting that China, Iran, and other countries accessed the servers, contradicting claims that Dominion machines were not connected to the Internet. They mention Dominion’s association with a Chinese-registered domain, and board members with Chinese nationality, alleging conflicts of interest through corporate ownership and licensing from Smartmatic. Speaker 0 highlights that Antrim County, Michigan audits found high error and adjudication rates in Dominion, with an 68 o 5% error rate far above federal guidelines, missing logs for 2020, and reprogramming of election event designer cards during the safe harbor period. They point to subpoenas and the lack of access to logs, and to affidavits from poll workers claiming illegal activities, non-equal treatment of observers, counting without proper oversight, shredding ballots, and other irregularities. Speaker 7 concludes with a claim that many Americans distrust the 2020 election and urges viewers to download and share the video, demand election reform, and notes that the video’s credits will continue with data readers, while warning of erasure or fact checks by tech platforms.