BREAKING REPORT: Largest Number of Cluster Votes In Wayne Co. MI Came From Psychiatric Hospital For Patients With Severe Mental Illnesses…And MORE!

Yesterday, data scientist Sarah Eaglesfield tweeted about some interesting facts she uncovered while looking into Wayne County, Michigan’s voter data from the November 2020 election. Her data, so far, explores cluster votes in Michigan’s Wayne County, where hundreds of affidavits have been filed sharing eye-witness accounts of voter fraud and intimidation by paid election workers and officials and Democrat activists present at the TCF Center, where absentee ballots were processed.

Eaglesfield’s tweet reads:

In order – clusters in Wayne County, Michigan with the most votes cast in #Election2020 were:

1. A psychiatric hospital (@NedStaebler is that you?)

This comment directed at Ned Staebler is in reference to his viral, videotaped, unhinged rant directed at the Republican Wayne Co. Board of Canvassers who refused to certify the county’s election last week. 

2. Apartment block (but no apartment number)

Trending: Video: President Trump Lets Loose on Disrespectful Hack Reporter: “Don’t talk to me that way”

3. A convent

4. THE FOUR SEASONS Care facility (really!)

5. Homeless drop-in centre

Completing this poll entitles you to 100 Percent Fed Up updates free of charge. You may opt out at anytime with a single click. Here's our Privacy Policy.

div.inline-poll { /*background: #c60000; color: #fff; padding: 1px 20px 0; border-radius: 2px; display: block;*/ margin: 0; } div.inline-poll .gpoll_wrapper { margin: 0; } div.inline-poll .gform_wrapper h3.gform_title { color: #fff; font-size: 20px; line-height: 1.1; padding: 6px 3px; } div.inline-poll .gform_wrapper ul li.gfield { margin-top: 0; } div.inline-poll .gform_wrapper ul li.gfield.gfield_contains_required { padding: 0; } div.inline-poll .gform_wrapper .gform_heading { margin-bottom: 0; background: #000; padding: 0 9px; } div.inline-poll .gform_wrapper ul.gfield_radio li { /*border: solid 1px rgba(255, 255, 255, 0.5); border-radius: 2px; padding: 0 5px 1px!important; width: 32%; float: left; margin: 0 2% 0 0; background: rgba(0, 0, 0, 0.2);*/ border: solid 1px rgba(255, 255, 255, 0.5); border-radius: 2px; padding: 0 5px 1px!important; margin: 0 0 2px 0; float: none; width: 100%; background: rgba(0, 0, 0, .1); } div.inline-poll .gform_wrapper ul.gfield_radio li:nth-of-type(3) { margin: 0; } div.inline-poll .gform_wrapper.gf_browser_chrome ul.gform_fields li.gfield input[type=radio] { margin: 0 3px; width: 14px!important; } div.inline-poll .gform_footer input.button, .gform_wrapper .gform_footer input[type=submit] { width: 100%; margin: 0 0 5px; line-height: 1; padding: 5px 5px; /*background: #fff;color: #c60000;*/ font-size: 18px; text-transform: uppercase; font-weight: 900; border: none; background: #c60000; color: #fff; } div.inline-poll .gform_wrapper ul.gfield_radio li label { width: calc(100% - 24px)!important; } div.inline-poll .gform_confirmation_wrapper { padding: 15px 0 1px; } div.inline-poll #gforms_confirmation_message { padding: 0; } div.inline-poll .gform_wrapper .gform_footer { margin: 0; padding-bottom: 0; } div.inline-poll .gform_wrapper input:not([type=radio]):not([type=checkbox]):not([type=submit]):not([type=button]):not([type=image]):not([type=file]) { margin: 0; line-height: 1; padding: 4px 11px; background: rgba(0, 0, 0, 0.1); /*width: calc(100% + 16px);*/ border: solid 1px rgba(0, 0, 0, 0.2); font-size: 16px; border-radius: 2px; } div.inline-poll .gform_wrapper .top_label .gfield_label { font-size: 14px; font-weight: 100; margin: 0; } div.inline-poll .gform_wrapper div.validation_error { color: #c60000; font-size: 16px; border: none; padding: 0; } div.inline-poll .gform_wrapper .top_label div.ginput_container { margin-top: 0; } div.inline-poll .gform_wrapper li.gfield.gfield_error.gfield_contains_required { background: transparent; border: none; padding: 0; margin: 0; } div.inline-poll .red .gpoll_ratio_box { background-color: #c60000; } div.inline-poll .gform_wrapper .validation_message { color: #c60000; padding: 4px 0 0 4px; } div.inline-poll .gpoll_button { display: none; } div.inline-poll .gpoll_bar_juice:after { background: #d43d3d; }

Today, Sarah Eaglesfield shared the data she used to obtain the information she shared on Twitter yesterday. She tagged Michigan’s Democrat Secretary of State Jocelyn Benson (who insists there was no voter fraud or intimidation of poll challengers in Wayne Co), Trump attorney Sidney Powell, President Trump, Joe Biden.

RE #1: The psychiatric hospital that, according to Eaglesfield’s research, provided the largest number of cluster votes in Wayne Co.

The largest cluster of votes received in Wayne County was from the Walter P. Reuther Psychiatric Hospital, which provides treatment, care, and services to adults with severe mental illness. 97 patients at the facility either applied for a ballot or are register as absentee voters, and 78 appeared to have returned their ballot.

From the website: Walter P. Reuther Psychiatric Hospital provides treatment, care and services to adults with severe mental illness.

Given that the psychiatric facility in question specifically states that it caters to those with severe mental illness it should be investigated what mental capacity these voters had and whether these ballots were potentially abused. It is my understanding that there is no capacity test for voting in Michigan, although state law allows for one to be applied.

RE #2: Apartment block ( but no numbers)

The most striking thing about the Wayne Co. dataset in this regard is that there is no normalization of data in the Mailing Address field. This is a shortcoming in the software that could be abused for fraudulent purposes.

For example, some addresses have been written using the state abbreviation, and some with the full state name. Some have the house number contained in a separate field; some have it adjoined with the street name. In one case, the zip code field has been used to note that the address is an incorrect address.

The same issue exists in the residential address field, where there is no set format for apartment or studio numbers. Apartment numbers are sometimes stored with a “#”, sometimes as “Apt”, sometimes as “Apartment”, meaning that the same apartment number in the same block could be stored differently in the system, allowing voters to receive more than one voter number.

One example of a person with the same first name, middle name, address, and year of birth, who has been assigned different voter numbers, voted twice and been counted twice, has their address stored as both:


PO BOX 32910, DETROIT, MI 48232-0910

Due to the shortcomings with regards to address format, it is difficult to provide a thorough analysis of voter clusters. An example of the problem can be seen, for example, in apartment blocks such as The Pavillion (1 Lafayette Plaisance St) where some residents did not even provide an apartment number.

RE #3: Convent

In the case of the Felician Sisters convent in Livonia, who sadly lost 13 of their sisters due to COVID-19 in May 2020, all their deceased had already been removed from the dataset.

Washington, MI Trump rally Nov. 1, 2020.

Catholic nuns came out publicly in support of President Trump in Michigan and in other states, so it’s weird that the names of the deceased nuns were removed from the MI voter rolls, while names of dead voters across Michigan state remained on the voter rolls.

RE #4: The Four Seasons Care Facility

There are a large number of care centers catering for the elderly population within the county. Analysis found two instances where people had died in October, but their vote was still sent and counted. This isn’t problematic in itself, but there were a few care centers that stood out as suspiciouseither through having returned all their ballots from the residents on the same day (Four Seasons Care) or through having received ballots for more than one deceased person who had previously been in their care (Hope Care).