Ya, now the retraction states that 2020 has "excess deaths" and links to ourworldindata.org but I'm not sure where that data is coming from ("human mortality database"). The CDCs #s for 2020 are still provisional which is understandable but who else is getting death #s?
John Hopkins' newspaper retracted their article about the same thing because apparently there IS an increase in deaths this year? However, they link to a "Human Mortality Database" which I haven't dug into where that data comes from. Seems like the CDC should have the accurate number.
https://www.jhunewsletter.com/article/2020/11/a-closer-look-at-u-s-deaths-due-to-covid-19
Here's the original link: https://www.jhunewsletter.com/article/2020/11/a-closer-look-at-u-s-deaths-due-to-covid-19
Great analysis of CDC data showing NO increase in total deaths this year, despite COVID, and also, a reduction in the standard leading causes of death (heart attack, etc). This coincides with the CDC treating all deaths with COVID as COVID deaths. You would expect deaths due to heart attacks, etc to remain steady so no increase in overall totals seems to indicate that drastic COVID measures don't do anything.
Yes, this is what I wanted to see!
Specifically, video from the State Farm Arena in Fulton County shows that on November 3rd after the polls closed, election workers falsely claimed a water leak required the facility to close. All poll workers and challengers were evacuated for several hours at about 10:00 PM. However, several election workers remained unsupervised and unchallenged working at the computers for the voting tabulation machines until after 1:00 AM.
He's not wrong.
"According to a tweet." Meh. The Gateway Pundit?
Edison? Where is their info coming from? Direct tabulation from county/precinct/state databases?
Woah? Please be actual, legit data and not "exit poll" crap!
Woah? Please be actual, legit data and not "exit poll" crap!
Any idea if these affidavits are from one state or country-wide? Would be big if just one state.
Where is this data coming from? Official vote tallies from cities/counties, compiled together or the Edison "exit poll" estimates?
Bring the facts!
- Poll watchers banned from observing the count (PA, MI)
- Thousands of ballots brought in after cut-off times and counted (MI, WI)
- Huge vote spikes for single candidate w/ no explanation (WI)
- "Software glitch"/"clerical error" in county swinging 6k ballots to the wrong candidate (MI). Same software used in 47 other MI counties and 30 states.
- 1 illegally cast vote cancels out one American citizen's legal vote (civil rights issue)
- Same signs the media uses to point out potentially fraudulent elections around the world (Mexico 1988, Gabon 2004, Ukraine recently) have happened in these swing states. High turnout in specific areas, large numbers of invalid votes (late ballots in PA, no poll watchers allowed), delay in announcing results.
@ Freedom Plaza at 12 PM EST
@ Freedom Plaza at 12 PM EST
This gets tiresome.
Did you read the court transcript? They can't claim that the ballots are fraudulent because they couldn't see them to verify one way or the other.
Caution about Edison's compiled "data" from u/MAGAt :
This is not official voting data. No news organization has official voting data directly. They all get it indirectly reported from individual counties.
Official voting data is released/updated as votes are tabulated by county election officials/county websites. Each county has its own, individual election website where it release data. So for every single county there is a data feed for vote tabulation.
What CNN has to do is take every single file across the entire US and tabulate them. Some counties have certain formats. Some counties share formats. Some counties do not share formats. And all counties update at different times. Each county's voter data comes as what we call a data feed.
Each data feed like I said can be different:
Here is Clark County, NV's data feed: https://www.nvsos.gov/SOSelectionPages/results/2020StateWideGeneral/Clark.aspx
Here is Maricopa County's data feed: https://recorder.maricopa.gov/electionarchives/2016/03-08-2016%20Final%20Precinct%20Report.txt
One county provides files in PDF and TXT formats. One is just a generic webpage. Each individual county's results is an individual data feed. Typically the best way to handle crap like this is to write an individual program for each data feed in python and parse it individually. You'd use something like python+beautiful soup or one of the many other data parsing python libraries.
Now, large enough media companies who report elections will have huge data science teams dedicated to getting up to the MILLISECOND data. They will hire lots of programmers to write a program to read a single data feed. Since each format is different. this means writing 3,141 different data feeds. Each program is called a feed handler.
Feed handlers can sometimes bug out. If you load a data feed and there is an error during transfer, sometimes it can scramble your data. Or sometimes you hit a node that has updated results, but then you refresh and the results go back to a previous version. This can be caused by a lot of things.
But to sum up a huge complicated system my point is basically this. If you guys are recording TV feeds or website screenshots from CNN, in no way shape or form is any of that even remotely official. The sheer amount of data feeds that get updated constantly all night long along with the many, MANY problems that can come from parsing said data can all easily explain all of the "irregularities" you guys are seeing.
Absolutely fucking ZERO of this will hold up in court. Look I fucking hate Biden and I want Trump to be president for the rest of his life. But I am telling you guys, I PROMISE YOU, you are pinning all your hopes for overturning this election on something that just isn't true.
I really am sorry. I don't want to be the messenger. Do you think I want this? I don't. But I spent 4 years working on data feed systems at a website that did online real estate listings. We had thousands and thousands of data feeds. They are a CONSTANT headache and things always go wrong with parsing the data.
1.7M now