Election Operations Bias

MI SoS Using State Resources for Partisan Projects (MI)

Reasonable Inference MI Department of State Director of “Special Projects” Sally Marsh used state resources to conduct partisan GOTV projects targeting youth and ex-convicts as well as poll worker recruitment efforts. As the former Deputy Campaign Manager for the MI Secretary of State, her efforts as a state employee were likely biased in favor of […]

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Democrat Bias in CTCL “Zuckerberg 5” Grants and Election‑Bribery Exposure (WI)

Reasonable Inference CTCL provided approximately 8.8 million dollars to Milwaukee, Madison, Green Bay, Racine, and Kenosha—about 86% of all CTCL funds in Wisconsin—with contracts (Wisconsin Safe Voting Plan) containing claw‑back provisions and detailed operational requirements for drop boxes, “voter navigators,” and outreach programs in “communities of color.” The OSC Gableman report concluded this scheme “facially

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CTCL Concentration in Philadelphia and Delaware County (PA)

Established Fact Pennsylvania received approximately $25 million in CTCL grants, including exactly $10 million to Philadelphia and $2.2 million to Democratic-stronghold Delaware County — which ranked second in the state for per-capita CTCL funding at $3.77 per registered voter. The ten Biden-won counties receiving CTCL funds averaged approximately $5 per registered voter, versus roughly $1

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Biden Voter Bias in MCELA–CEIR Grant for “Voter Education” as In‑Kind GOTV (MI)

Reasonable Inference Jocelyn Benson’s Michigan Center for Election Law and Administration (MCELA) received a multi‑million‑dollar grant from CEIR to fund “voter education” and digital outreach. The national and Michigan reports document that state resources and CEIR funds were used to produce and distribute messaging tailored to demographics associated with “Biden profile” voters, notwithstanding sufficient available

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ERIC–CEIR Data Pipeline and CTCL‑Funded GOTV (GA)

Established Fact In Georgia, over 94% of CTCL funds — $42.4 million of a total $45 million — flowed to 17 counties won by Biden, while the remaining $2.6 million reached 26 Trump-won counties. Separately, Georgia’s membership in ERIC generated “Eligible but Unregistered” lists that were transmitted to CEIR — a $69.5 million Zuckerberg-funded nonprofit

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CTCL/Alliance Funding and Dropbox–GOTV Bias in Maricopa (AZ)

Established Fact Arizona jurisdictions, led by Maricopa County, accepted CTCL grants that were disproportionately concentrated in Democratic‑leaning areas, with funds used for drop‑box deployment, satellite offices, and targeted voter‑outreach infrastructure. These privately steered operational choices shifted the geographic pattern of convenient voting access in ways that aligned with one party’s base rather than neutral administrative

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WisVote/BadgerBooks Data Sharing with CTCL Partners (WI)

Established Fact The Zuckerberg-5 cities shared WisVote voter-file data—available to the public only as periodic snapshots at $12,500 per copy—with CTCL-aligned private partners at no cost, in violation of Wisconsin Elections Commission security policies. In at least one city, officials apparently provided those partners with API access to WisVote and BadgerBooks, enabling real-time, free data

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CTCL‑Funded Detroit Satellite Centers and Mobile GOTV Units (MI)

Established Fact Detroit accepted CTCL grants totaling between 3.5 and 7.4 million dollars, conditioned on adding 14 satellite voting centers, 30 drop boxes, and sharply increased poll‑worker pay; Muskegon received funds for a branded GOTV trailer. These privately designed deployments materially reshaped local election operations and access patterns in ways that boosted turnout in heavily

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CTCL‑Conditioned Drop‑Box and Poll‑Worker Deployment (GA)

Reasonable Inference CTCL grant agreements with Georgia counties including Fulton and DeKalb funded the deployment of additional early-vote sites and enhanced staffing, with funding heavily favoring urban Democratic strongholds. In Georgia, over 94 percent of CTCL’s $45 million in grants went to 17 counties won by Biden, while less than 6 percent reached 26 counties

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CTCL GIS Siting Algorithms Optimized Drop Box Placement for Partisan Demographic Capture Rather Than Neutral Civic Access (US)

Reasonable Inference CTCL and the Center for Civic Design (CCD) used internal GIS mapping and geolocation data to determine the physical placement of drop boxes. The documented result – extreme per-voter and per-square-mile disparities favoring Democratic urban precincts nationwide (e.g., 1 box per 4,000 voters in Delaware County, PA vs. 1 per 72,000 in Trump

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