The NGO Project Part X: CTCL in Connecticut
Qui Transtulit Sustinet - He Who Transplanted Sustains
Introduction
Question: Is CTCL misrepresenting the information on the IRS Form 990 stating that the PURPOSE of the grants were to help support the SAFE administration of public elections during the Covid-19 pandemic?
Answer: It appears so given the results of both aggregate, state and county by county analysis as we will see below. It appears this is a quantifiable democrat ballot harvesting operation.
Background
This is Part X in The NGO Project series which examines the role NGOs had in determinative outcomes in the 2020 Presidential Election. In prior articles, I focused on the effect CTCL had on AZ, CO, GA, MI, NM, NY, PA, UT, VA and WI.
This article will solely focus on CTCL in Connecticut (CT).
Calculation Basis
The calculation basis was previously explained in detail here. Because of the way grants were distributed in CT, I have to use a unique approach in this instance.
Analysis
In CT, there were 59 CTCL grants. However, the results here are summarized by county. Grants were made in all 8 CT counties. Therefore comparing 2020DIFF values between CTCL and NonCTCL counties is not possible. I will outline a different approach below.
The total amount of grants to CT was ~ $1,871,932 and the value of individual grants ranged from ~ $5,200 to $346,326. The range of CTCL grant/vote was $0.17-$2.83 (all parties).
This table includes all CTCL grants rolled up to the county level.
1.1MM of the total grants money was spent in Hartford. This means that ~ 55% of the CTCL funds was spent in a county that included 28% of all of the states voters. Is that fair while claiming the grants were to be used for Plandemic response?
The average 2016 D/R ratio for CTCL Counties was 1.19 (not weighted). The average 2020 D/R ratio for CTCL Counties was 1.36 (not weighted). This shows an increased D trend in 2020. Is that due to CTCL meddling? None of the counties had a -2020DIFF value which would indicate R voters came out in larger numbers compared to D voters.
In order to estimate a D harvesting ratio, a simpler set of assumptions was used for this article which just subtracts the two ratios. This gives 17% CTCL contribution factor (1.36-1.19). I am not able to use the more sophisticated model described in other articles because there are no NonCTCL counties. (As an aside, the weighted average is 18% so I am using a more “conservative” approach here.)
This yields ~ 183,700 more D votes or a potential swing of ~366,000 votes. Given that Biden beat Trump by ~ 365,000 votes, the CTCL presence appears to have been a significant factor in the Biden win, perhaps even pushing it into Biden’s favor.
Conclusion
CTCL issued ~$1.9MM grants in CT and “purchased” ~ 183,000 more D votes in CTCL counties than would have occurred without CTCL grants. This very well could have prevented a narrow Trump win.
That is ~ $10/Vote.
Pretty good return on your investment if you are part of the election racketeering cabal.
References
CTCL IRS Form 990 (revised form from Jan 2022 used)
Telegram - https://t.me/electiondataanalyzer
Truth - @ElectionDataAnalyzer
The math here is simple, try this on your own. It is a model to look for trends, not an exact science.
Hi from your neighbor in RI. I am also working on CTCL and CEIR grants RI received for our elections. I noticed most of the grant money was to pay Temp staff. Have you noticed this in CT?