Before Election Day, @maricopacounty and @stephen_richer calculated average wait times on ED based on:
-Heat maps (high-traffic)🤯
-# of polling sites, voting stations, check-in booths
-time needed to check-in and to vote your ballot
-highest upper-limit turnout of “321,312”
-Heat maps (high-traffic)🤯
-# of polling sites, voting stations, check-in booths
-time needed to check-in and to vote your ballot
-highest upper-limit turnout of “321,312”
https://twitter.com/DecentFiJC/status/1595626039752925184
Why is this significant, you ask??
Two reasons:
-Wait times were 4-5x the highest projections.
-These are the all exact variables you’d need to consider if you were trying to steal an election using a targeted “time required per in-person voter” model as one your key methods.
Two reasons:
-Wait times were 4-5x the highest projections.
-These are the all exact variables you’d need to consider if you were trying to steal an election using a targeted “time required per in-person voter” model as one your key methods.
By reverse-engineering this model, you can know exactly how much time delay you need across a range of specifically targeted locations, to determine the expected total vote reductions per hour w/near certainty.
**321k expected w/1x time delay
**248k reported w/4-5x time delay
**321k expected w/1x time delay
**248k reported w/4-5x time delay
*one of your key methods
NOTE: The impact of “highest-limit time expected” and “time experienced/reported”, combined w/the in-person turnouts “highest-limit expected” and “reported” data is catastrophic.
**RESULT: Taking 4-5x longer to accommodate 22.7% FEWER votes.
**TRUE time delay is 5.177x - 6.47x.
**RESULT: Taking 4-5x longer to accommodate 22.7% FEWER votes.
**TRUE time delay is 5.177x - 6.47x.
*248k / 321k = 77.26% (% report of model)
*1.0 - 0.7726 = 22.74% (% less than model)
*4-5x = time delay of 100% of 321k model
*5.177-6.47x = time delay range vs 122.74%
*1.0 - 0.7726 = 22.74% (% less than model)
*4-5x = time delay of 100% of 321k model
*5.177-6.47x = time delay range vs 122.74%
Using their own model (220 poll sites) against their data (321k; 248k), we can determine if our model of 1x and 5.177-6.47x time-delay factors is accurate.
Expected votes per site:
*1x = 321k/220 sites = 1,459.09
*5.177-6.47x = 248k/220 = 1,127.27
*1,127.27/1,459.09 = 77.258%
Expected votes per site:
*1x = 321k/220 sites = 1,459.09
*5.177-6.47x = 248k/220 = 1,127.27
*1,127.27/1,459.09 = 77.258%
Our model is accurate.
**Their “highest-limit expected turnout” number of 321k in-person voters is (according to them) an arbitrary 13.34% reduction of the 2020 general election totals.
*364,175 (reported)
But that’s ANOTHER 30,825 (7-8.5%) drop from Maricopa’s earlier data.
**Their “highest-limit expected turnout” number of 321k in-person voters is (according to them) an arbitrary 13.34% reduction of the 2020 general election totals.
*364,175 (reported)
But that’s ANOTHER 30,825 (7-8.5%) drop from Maricopa’s earlier data.
2 more questions needing damn good answers:
*Why the hell is FBI, while at risk of being DEFUNDED or ABOLISHED for targeting conservatives (if R’s won both Houses), involved w/Maricopa’s elections?
*Why does AZ’s new Director of Elections have FBI Cyber (and likely FTX) ties?
*Why the hell is FBI, while at risk of being DEFUNDED or ABOLISHED for targeting conservatives (if R’s won both Houses), involved w/Maricopa’s elections?
*Why does AZ’s new Director of Elections have FBI Cyber (and likely FTX) ties?
MORE MATHS:
*Maricopa’s peak projected 321,312 votes is based on 220 sites @ 25 booths/site
*5,500 total booths
*3 mins “check-in” + 11 mins “cast vote”…
-> 14 mins/vote
*1 hr/14 mins/1 vote = 4.28 votes/hr/booth
*13hrs x 4.28 VHB x 5,500 TB:
100% capacity: 306,020 (-4.7%)
*Maricopa’s peak projected 321,312 votes is based on 220 sites @ 25 booths/site
*5,500 total booths
*3 mins “check-in” + 11 mins “cast vote”…
-> 14 mins/vote
*1 hr/14 mins/1 vote = 4.28 votes/hr/booth
*13hrs x 4.28 VHB x 5,500 TB:
100% capacity: 306,020 (-4.7%)
They were operating at a peak capacity deficit of (4.7%), assuming 1x time delays and an arbitrary ~20-21% reduction in “reported turnout” from 2020 results.
…despite expecting roughly double the number of in-person voters compared to 2020 (395,000 -> 790,000)
…despite expecting roughly double the number of in-person voters compared to 2020 (395,000 -> 790,000)
When you add the “actual realized” data from Election Day, it becomes even more apparent some BOS BS was afoot.
*223 sites
*5.177-6.4x time delays
*~750,000-800,000 expected voters with only a ~360,000-370,000 capacity at 1x time delay.
*223 sites
*5.177-6.4x time delays
*~750,000-800,000 expected voters with only a ~360,000-370,000 capacity at 1x time delay.
There’s that pesky FBI, DHS and Stanford again, having ties to our elections and shit…
*Why are grants being awarded to Stanford to combat “misinformation” according to the Biden regime?
*Why is Kari Lake’s attorney @pnjaban on the EIP’s “most wanted list”?
*Why are grants being awarded to Stanford to combat “misinformation” according to the Biden regime?
*Why is Kari Lake’s attorney @pnjaban on the EIP’s “most wanted list”?
Definitely do NOT look into the background of Arizona’s Director of Elections, Kori Lorick. Or that the DHS, FBI, DNC and Soros poured $12mm into EIP to attack conservatives online.
Or that funding finished right after she was “installed” to replace Sambo Dul (PerkinsCoie alum).
Or that funding finished right after she was “installed” to replace Sambo Dul (PerkinsCoie alum).
REMINDER — the two images represent polling sites where tabulators malfunctioned on ED.
Malfunctions occurred in 64 total highly-partisan locations, considered overwhelmingly “Heavy R or Heavy D” areas.
*59/64 (93.7%) were “Heavy R” areas.*
This is blatant criminal malfeasance
Malfunctions occurred in 64 total highly-partisan locations, considered overwhelmingly “Heavy R or Heavy D” areas.
*59/64 (93.7%) were “Heavy R” areas.*
This is blatant criminal malfeasance
And in case the reference document gets deleted from the internet, definitely do NOT download it, save it to cold storage or otherwise distribute it as far and wide as you can on Twitter.
That would be a shame.
recorder.maricopa.gov/site/pdf/FINAL…
That would be a shame.
recorder.maricopa.gov/site/pdf/FINAL…
***UPDATE: This thread has finally broken the “100K Impressions” mark.***
Let’s see if we can get it to 1,000,000+🙏🏼
Let’s see if we can get it to 1,000,000+🙏🏼
**TO DETERMINE “EXPECTED VOTER SUPPRESSION FROM MACHINES” w/REASONABLE CERTAINTY:
(w/out hunting for “suppressed ppl” of AZ)
You can use these weighted calculations with known variables we have. See below.
@merissahamilton @tylerbowyer @BarnettforAZ @KariLakeWarRoom @pnjaban
(w/out hunting for “suppressed ppl” of AZ)
You can use these weighted calculations with known variables we have. See below.
@merissahamilton @tylerbowyer @BarnettforAZ @KariLakeWarRoom @pnjaban
https://twitter.com/DecentFiJC/status/1596284003233009665
Welp. There it is.
Who could’ve POSSIBLY predicted this?
Dear, Lorick, Hobbs, Richer, Archer, Gates, @maricopacounty, @PimaRecorder, FBI and any/all associated NGOs/PACs,
Check. F’ing. Mate. Traitors.
@pnjaban @KariLakeWarRoom @tylerbowyer @Rach_IC @elonmusk @BarnettforAZ
Who could’ve POSSIBLY predicted this?
Dear, Lorick, Hobbs, Richer, Archer, Gates, @maricopacounty, @PimaRecorder, FBI and any/all associated NGOs/PACs,
Check. F’ing. Mate. Traitors.
@pnjaban @KariLakeWarRoom @tylerbowyer @Rach_IC @elonmusk @BarnettforAZ
***Just a reminder for when this inevitably comes up (they’ll attempt to justify the “2022 realized data” by dishonestly comparing it to previous elections), here is Maricopa County’s annual population growth:
(I calculated going all the way back to 2016.)
(I calculated going all the way back to 2016.)
Here’s the VbM/EV data for AZ relative to 2016 and 2018.
(The “275k-290k drop offs on Election Day” would be factored into the “Absentee/mail-in votes counted” columns.)
Maricopa is ~62% of total AZ population, so you’d expect ED in-person to be:
2016 - 453,205
2018 - 331,903
(The “275k-290k drop offs on Election Day” would be factored into the “Absentee/mail-in votes counted” columns.)
Maricopa is ~62% of total AZ population, so you’d expect ED in-person to be:
2016 - 453,205
2018 - 331,903
Welp. Election Day in the Arizona 2022 General Elections is officially the worst case of wholesale intentional voter suppression in American history.
Just f’ing unbelievable.🤯🤯🤯
Just f’ing unbelievable.🤯🤯🤯
https://twitter.com/reallizusa/status/1601386586964643842?s=46&t=FMmOqR6EDboYN7yMLDm_FQ
https://twitter.com/realLizUSA/status/1601386586964643842
PREDICTION: This’ll be increasingly relevant moving forward.😏
@KariLake @KariLakeWarRoom @tylerbowyer @omzStudio @Rach_IC @RealDaveCares4u @RealJamesWoods @JackPosobiec @StevenTylerAZ @BerryRazi @constanceahath @Timcast @charliekirk11 @christianllamar
@KariLake @KariLakeWarRoom @tylerbowyer @omzStudio @Rach_IC @RealDaveCares4u @RealJamesWoods @JackPosobiec @StevenTylerAZ @BerryRazi @constanceahath @Timcast @charliekirk11 @christianllamar
https://twitter.com/marceelias/status/1601397668319997953?s=46&t=w6LnDJ2z0Aer9MZJS6vzpw
https://twitter.com/DecentFiJC/status/1601437467042725896
Speaking of heat maps, this is one hell of an incriminating find by the @KariLakeWarRoom team🤯🤯🤯
I mean, is it pretty normal to leave a murder weapon at the scene of the crime?
🤣🤣🤣🤣🤣
I mean, is it pretty normal to leave a murder weapon at the scene of the crime?
🤣🤣🤣🤣🤣
https://twitter.com/KariLakeWarRoom/status/1602373257142861825
Increasing relevance.
https://twitter.com/DecentFiJC/status/1624156249188098072
Rapidly increasing relevance.😏
@DemocracyDocket @marceelias
@DemocracyDocket @marceelias
Definitely do NOT look into Protect Our Future PAC, Dacey Montoya and/or The Money Wheel, LLC.
👀
Be a shame for Governor-select, Hobbs to be implicated in this.
All thanks to (at least) $1,400,000 of likely laundered tax dollars her campaign received from it.
A real shame.😏
👀
Be a shame for Governor-select, Hobbs to be implicated in this.
All thanks to (at least) $1,400,000 of likely laundered tax dollars her campaign received from it.
A real shame.😏
#ArrestKatieHobbs
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