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@ZarkFiles

MAGA. Election researcher. Artist. In God we trust. Buy me a coffee to support my work: https://t.co/rnk59k0ggg

Katılım Aralık 2022
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Art@ZarkFiles·
The NY Voter Roll Mystery #257 Same grocery store. Same aisles. Same repeating people.But this time every single one of them is dead.Not mostly. Not a majority. Every consecutive record in this stretch of New York's voter roll is coded DEATH. Born 1907. Born 1912. Born 1917. All dead. All assigned brand new state ID numbers.42,371 of them in a row.Someone knew they were dead when they gave them those numbers.
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StrangerinaStrangeMeme
@ZarkFiles The USA voter rolls are the dirtiest I have ever encountered. At first I presumed incompetence but they are so bad for so long it's deliberate.
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Noah B. Price
Noah B. Price@TrueOnX·
🚨 BREAKING NEWS: Putin: "I want the ordinary citizens of Western countries to hear me." "You are being persistently told that all your current difficulties are the result of hostile actions by vicious Russia, and that you must pay for the fight against a mythical Russian threat out of your own pockets. All of this is a lie." "The truth is that the problems you are facing now are the result of years of actions by the ruling elites of your own countries... their mistakes, short-sightedness, and ambition. They do not think about how to improve your lives; they are obsessed with their own selfish interests and excessive profits." - Vladimir Putin Let me know what you think, and SHARE THIS so that others may too. THIS NEEDS TO GO VIRAL, THE WORLD NEEDS TO HEAR THIS!
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NyanChuu🔮🇯🇵🍭
NyanChuu🔮🇯🇵🍭@tanpukunokami·
A Muslim mom at a Tokyo daycare: “It’s so much easier now — we don’t even pack lunch anymore.” Why? 1 in 5 kids there are Muslim. So the menu changed. No pork. No soy sauce (it has alcohol). No chicken — unless halal. The guests are saying “easier.” Japanese kids, in their own country, eating around someone else’s rules. Tell me again who’s adapting to who.
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Art@ZarkFiles·
The NY Voter Roll Mystery #256 Imagine you're walking down the grocery store aisle and you notice a couple standing there. Nothing unusual. You turn into the next aisle and there they are again. You think — did they move fast? You go back and check. No, they're still in the first aisle. But there's an identical couple in the second aisle too. You go to the third aisle. Same couple. And a few more people you recognize from aisle one. Fourth aisle — same thing, plus some new repeats. At what point do you stop thinking "coincidence" and start thinking "something is very wrong here"? That is exactly what I found when I sorted New York's voter roll by ID number. The same people, over and over, in the same narrow stretch of consecutive numbers. Different ID numbers — but the same names, same birthdays, same everything else.
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光源氏🇯🇵
光源氏🇯🇵@hikaruganji·
神社を燃やされ、お寺や仏閣を燃やされ、豚舎を燃やされ、今度は墓石の破壊ですか? もう、あの、国の方々は強制送還で良いのでは無いでしょうか? こんな事するのは、あの宗教しかありません。 5月3日から4日にかけて、北海道月形町の霊園で、墓石58基が倒されるなど何者かに荒らされているのが見つかったようです。警察は器物損壊事件として捜査しています。
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Art@ZarkFiles·
For the record, my working hypothesis regarding election fraud: 1. Almost all election workers are completely innocent of involvement. 2. The people whose identities were cloned have no idea it happened. They are victims of identity theft. 3. Electronic election fraud is in every state, but has penetrated some much more deeply than others. 4. Voter roll algorithms can be used to covertly track records. This is an extremely serious vulnerability that many people don't seem to understand. I consider it worse than forging signatures on ballots. 5. Multiple methods are simultaneously being used in different places. Some cannot be used together (they would cancel each other out), others can be. 6. The methods are changing every year, becoming more difficult to identify. For instance, Bexar County, TX and Tooele County, UT. 7. The Electoral College is the only thing that has protected us from a total collapse of government. It must be protected at all cost. 8. The lowest step of any criminal scheme is to turn off the alarms. That is what happened when multiple jurisdictions turned off data validation on their election infrastructure. Literally none of the things I have found could exist otherwise. 9. Some combination of foreign influence (bribes+threat) and domestic compliance was necessary to achieve the results we see across the nation. 10. The modern era of electronic election fraud was made possible by the Help America Vote Act (HAVA).
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Art@ZarkFiles·
So what does this mean? New York has 2 million dead voters in its rolls. 42,371 of them were assigned consecutive ID numbers by a dedicated algorithm that only processed purged records. No purge dates. No processing records. Born already dead. Officials will tell you purged records are kept to protect the integrity of the historical record. But there is no integrity in a record that arrived pre-coded as dead, assigned by an algorithm that knew it was dead, with no audit trail showing when or why. The full analysis — including how the two algorithms work, what the data shows, and why this matters for elections — is in today's Substack. [zarkfiles.substack]
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Art@ZarkFiles·
The NY Voter Roll Mystery #257 Same grocery store. Same aisles. Same repeating people.But this time every single one of them is dead.Not mostly. Not a majority. Every consecutive record in this stretch of New York's voter roll is coded DEATH. Born 1907. Born 1912. Born 1917. All dead. All assigned brand new state ID numbers.42,371 of them in a row.Someone knew they were dead when they gave them those numbers.
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Art@ZarkFiles·
Two scatter plots. Same county. Same ID range. Different filter. Left: Erie County ACTIVE records in the out-of-range ID space. Almost nothing. A handful of scattered points. Right: Erie County PURGED records in the same ID space. Two dense horizontal bands — 42,371 records in the largest one alone. This is the Shingle algorithm. It was used specifically to assign ID numbers to purged records. The active records got a different algorithm — the Tartan — in the same ID neighborhood. The algorithm chosen depended on whether the record was purged or active. Which means the system knew the record's status before it assigned the number. That is not database administration. That is database engineering for a purpose.
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Art@ZarkFiles·
There are 2,026,797 records coded DEATH in New York's August 2025 voter roll snapshot. All marked PURGED — meaning they cannot be used to vote. Or more precisely: they should not be used to vote. All it takes is the push of a button to change PURGED back to ACTIVE. And here is the problem with the missing purge dates. Without one, there is no way to determine when a record was purged. Which means if a vote appears in that record's history, you cannot tell whether it was cast before or after the purge. The record's entire voting history becomes permanently unauditable. Retrospectively: you cannot evaluate past votes. Prospectively: you cannot prove a future vote was illegitimate. The missing date does not just obscure the past. It provides cover for the future.
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Art@ZarkFiles·
Here is what it looks like up close. Consecutive ID numbers. Every record coded DEATH. Every record from Erie County. Every purge date field completely empty. That last detail matters. When a voter legitimately dies and is removed from the rolls, the removal generates a date stamp — when the death was reported, when the record was flagged. Basic audit trail. Required by any legitimate database workflow. These records have no date stamp. They were not removed from an active roll. They arrived already dead. No processing event was ever recorded because there was no processing event. They were born already dead.
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Art@ZarkFiles·
@pappyfrost_65 No way to know with the garbage voter history in the database. If it says they didn't, they might have anyway. If it says they did, maybe they didn't. It goes both ways, making it worthless.
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Art@ZarkFiles·
@Grok, please evaluate the meaning of the finding discussed in this thread.
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This is one block of 277 records. There are 431 more like it in New York's voter roll. 1.5 million cloned registrations statewide. I asked Grok what this means for elections. Its answer: "It's impossible to determine the exact number of unique legitimate voters who cast ballots from the rolls alone." Here is why. A voter checks in using their ID. The ballot enters the tabulator anonymously — no serial numbers, no way to trace it back. The only reconciliation possible is aggregate: how many people checked in versus how many ballots were counted. If a cloned ID was used for check-in, the numbers still balance. The chain of custody is intact. And it is permanently impossible to determine whether that ballot came from a legitimate voter or a clone. The full breakdown of how these blocks were found, what they look like, and what they mean is in today's Substack.
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Art@ZarkFiles·
But here is what really rules out any innocent explanation. If these records were created by accident — a software glitch, a bad import, anything random — copies of the same person would appear together. You would see all of FED...LIE's copies in a row, then all of DOV...TEL's copies in a row, and so on. That is not what we see. Instead they are shuffled. FED...LIE, then DOV...TEL, then GRA...ERT, then FED...LIE again, then DOO...ICK, then GRA...ERT again. Different people interlaced with each other, over and over, across 1,314 consecutive ID numbers. To produce that pattern, the system had to hold all of these records in memory simultaneously, process them together as a group, and assign their ID numbers to the shuffled result. That is not an accident. That is a function. And it means the system knew these were copies of existing records at the exact moment it assigned their ID numbers.
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Art@ZarkFiles·
So how does this happen? Officials have a few explanations. The most common: a nervous clerk hit the enter key twice. There is a problem with that explanation. A big one. New York law requires every registration application to be submitted to the state, which checks whether that person already exists in the database. If they do, the application is rejected. Instantly. So if a clerk hits enter twice, the first submission goes through. The second one — arriving one second later — finds that person already in the system and returns a rejection. The clerk knows immediately. No clone is created. The only way to create a clone — same person, different ID number — is to bypass that check entirely. That requires system-level access. That is not a nervous clerk. That is someone who knows exactly what they are doing.
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