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Dec 9, CDC Expected vs Excess Deaths — “Dry Tinder” Hypothesis Estimates for Maryland, Pennsylvania, and U.S.
Full Post:
http://wikiworldorder.org/2020/12/10/cdc-expected-vs-excess-deaths-dry-tinder-hypothesis-estimates-for-maryland-pennsylvania-us/
When I was digging through CDC data in October, I very much wanted to work with their numbers for their weekly “threshold for excess deaths”. That is the orange line on their excess deaths graph with Weekly number of deaths (from all causes). But I was not able to find it within their export options. Please let me know if you have found this data, because I was desperate enough to approximate answers another way.
I took screenshots of the CDC graphs for Maryland, Pennsylvania, and the United States. Then I drew a few complex polygons in GIMP to create areas in between the orange line “threshold for excess deaths” and the centers of each blue bar.
The areas in lighter green (below the line) represent how many fewer deaths were observed than expected. Many researchers have used the phrase “dry tinder” to describe these people who lived longer than the CDC expected (almost every week for the three years before this pandemic was declared).
The areas in darker green (above the line) represent excess mortality, meaning the all-cause death counts were above the CDC’s threshold of the orange line. Then I used GIMP’s histogram tool, selected one color at a time, and calculated how many pixels each color covered.
Completing this process for the CDC’s Pennsylvania graph, I found 4 times more pixels below the orange threshold line, than above the line. So compared to the spike of excess mortality in 2020 in Pennsylvania, there might have been 4 times as many expected deaths avoided throughout the previous three years.
Next, I wanted to try applying those ratios to the reported excess death numbers. So as another back of the envelope estimate, we could associate the dark green areas with the almost 12,000 total COVID-related deaths reported in Pennsylvania. That would mean the light green area represents around 48,000 people, only 12,000 of whom died this year. So on a four-year time span, 36,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
If this CDC data is accurate, then these circumstances were all baked into the cake before SARS-CoV-2 was declared a pandemic.
Completing this process for the CDC’s Maryland graph, I found 3.6 times more pixels below the orange threshold line, than above the line. So compared to the spike of excess mortality in 2020 in Maryland, there might have been 3.6 times as many expected deaths avoided throughout the previous three years.
So as part of this thought experiment, we could associate the dark green areas with the almost 5,000 total COVID-related deaths reported in Maryland. That would mean the light green area represents around 18,000 people, only 5,000 of whom died this year. So on a four-year time span, 13,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
Running the same process once more for the whole United States… I found 1.5 times more pixels below the orange threshold line, than above the line. So compared to the spikes of excess mortality in 2020 in the U.S., there might have been 1.5 times as many expected deaths avoided throughout the previous three years.
So we could associate the dark green areas with the almost 300,000 total COVID-related deaths reported in the United States thus far. That would mean the light green area represents around 450,000 people, only 300,000 of whom died this year. So on a four-year time span, 150,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
http://wikiworldorder.org/2020/12/10/cdc-expected-vs-excess-deaths-dry-tinder-hypothesis-estimates-for-maryland-pennsylvania-us/
When I was digging through CDC data in October, I very much wanted to work with their numbers for their weekly “threshold for excess deaths”. That is the orange line on their excess deaths graph with Weekly number of deaths (from all causes). But I was not able to find it within their export options. Please let me know if you have found this data, because I was desperate enough to approximate answers another way.
I took screenshots of the CDC graphs for Maryland, Pennsylvania, and the United States. Then I drew a few complex polygons in GIMP to create areas in between the orange line “threshold for excess deaths” and the centers of each blue bar.
The areas in lighter green (below the line) represent how many fewer deaths were observed than expected. Many researchers have used the phrase “dry tinder” to describe these people who lived longer than the CDC expected (almost every week for the three years before this pandemic was declared).
The areas in darker green (above the line) represent excess mortality, meaning the all-cause death counts were above the CDC’s threshold of the orange line. Then I used GIMP’s histogram tool, selected one color at a time, and calculated how many pixels each color covered.
Completing this process for the CDC’s Pennsylvania graph, I found 4 times more pixels below the orange threshold line, than above the line. So compared to the spike of excess mortality in 2020 in Pennsylvania, there might have been 4 times as many expected deaths avoided throughout the previous three years.
Next, I wanted to try applying those ratios to the reported excess death numbers. So as another back of the envelope estimate, we could associate the dark green areas with the almost 12,000 total COVID-related deaths reported in Pennsylvania. That would mean the light green area represents around 48,000 people, only 12,000 of whom died this year. So on a four-year time span, 36,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
If this CDC data is accurate, then these circumstances were all baked into the cake before SARS-CoV-2 was declared a pandemic.
Completing this process for the CDC’s Maryland graph, I found 3.6 times more pixels below the orange threshold line, than above the line. So compared to the spike of excess mortality in 2020 in Maryland, there might have been 3.6 times as many expected deaths avoided throughout the previous three years.
So as part of this thought experiment, we could associate the dark green areas with the almost 5,000 total COVID-related deaths reported in Maryland. That would mean the light green area represents around 18,000 people, only 5,000 of whom died this year. So on a four-year time span, 13,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
Running the same process once more for the whole United States… I found 1.5 times more pixels below the orange threshold line, than above the line. So compared to the spikes of excess mortality in 2020 in the U.S., there might have been 1.5 times as many expected deaths avoided throughout the previous three years.
So we could associate the dark green areas with the almost 300,000 total COVID-related deaths reported in the United States thus far. That would mean the light green area represents around 450,000 people, only 300,000 of whom died this year. So on a four-year time span, 150,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
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Regarding "9/11 Truth and the Silence of the IR Discipline", by David A. Hughes, Published 2020
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Essay Version: https://medium.com/@wikiworldorder/democracy-international-relations-discipline-and-9-11-truth-221b01224fb2
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Watch entire video C-SPAN Campaign 2022 coverage:
c-span.org/video/?522050-1/york-12th-congressional-district-democratic-debate
New York 12th Congressional District Democratic Debate
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video/mp4
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VIDEO
DEC 9
dec-9-cdc-expected-vs-excess-deaths-dry-tinder-hypothesis-estimates-maryland-pennsylvania-us
Full Post:
http://wikiworldorder.org/2020/12/10/cdc-expected-vs-excess-deaths-dry-tinder-hypothesis-estimates-for-maryland-pennsylvania-us/
When I was digging through CDC data in October, I very much wanted to work with their numbers for their weekly “threshold for excess deaths”. That is the orange line on their excess deaths graph with Weekly number of deaths (from all causes). But I was not able to find it within their export options. Please let me know if you have found this data, because I was desperate enough to approximate answers another way.
I took screenshots of the CDC graphs for Maryland, Pennsylvania, and the United States. Then I drew a few complex polygons in GIMP to create areas in between the orange line “threshold for excess deaths” and the centers of each blue bar.
The areas in lighter green (below the line) represent how many fewer deaths were observed than expected. Many researchers have used the phrase “dry tinder” to describe these people who lived longer than the CDC expected (almost every week for the three years before this pandemic was declared).
The areas in darker green (above the line) represent excess mortality, meaning the all-cause death counts were above the CDC’s threshold of the orange line. Then I used GIMP’s histogram tool, selected one color at a time, and calculated how many pixels each color covered.
Completing this process for the CDC’s Pennsylvania graph, I found 4 times more pixels below the orange threshold line, than above the line. So compared to the spike of excess mortality in 2020 in Pennsylvania, there might have been 4 times as many expected deaths avoided throughout the previous three years.
Next, I wanted to try applying those ratios to the reported excess death numbers. So as another back of the envelope estimate, we could associate the dark green areas with the almost 12,000 total COVID-related deaths reported in Pennsylvania. That would mean the light green area represents around 48,000 people, only 12,000 of whom died this year. So on a four-year time span, 36,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
If this CDC data is accurate, then these circumstances were all baked into the cake before SARS-CoV-2 was declared a pandemic.
Completing this process for the CDC’s Maryland graph, I found 3.6 times more pixels below the orange threshold line, than above the line. So compared to the spike of excess mortality in 2020 in Maryland, there might have been 3.6 times as many expected deaths avoided throughout the previous three years.
So as part of this thought experiment, we could associate the dark green areas with the almost 5,000 total COVID-related deaths reported in Maryland. That would mean the light green area represents around 18,000 people, only 5,000 of whom died this year. So on a four-year time span, 13,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
Running the same process once more for the whole United States… I found 1.5 times more pixels below the orange threshold line, than above the line. So compared to the spikes of excess mortality in 2020 in the U.S., there might have been 1.5 times as many expected deaths avoided throughout the previous three years.
So we could associate the dark green areas with the almost 300,000 total COVID-related deaths reported in the United States thus far. That would mean the light green area represents around 450,000 people, only 300,000 of whom died this year. So on a four-year time span, 150,000 more ‘dry tinder’ deaths are still expected to balance out the CDC’s predictions.
Dec 11: This video was originally uploaded last night with an error in the final graph for the United States. The pixels counts on that graph were displaying data for Maryland, not the U.S., but the new version has corrected this, aligning it with the images in the blog post.
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you-the-hero-superpower-reasoning-the-future
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Walking through the grocery store, approaching the soda aisle, you could plan and decide to purchase Coca-Cola Company, PepsiCo Inc, something else, or none of the above. You can give mega-corporations your money, or not. Unless maybe some Prozac lobotomy is working overtime, there is at least one moment where such potential futures are considered (foreseen) before taking action and writing one more step of your story.
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In the movies, the hero must save the whole world. But in reality, we only have 100% control of our own lives: free will which is ethically and strategically limited only by the golden rule. We have the freedom to do anything without violating this equal freedom of others. Everyone can (and should) be a hero within their own domain for which they have 100% control.
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Full Post:
https://wikiworldorder.medium.com/governor-hogan-information-request-followup-voicemail-1-120acfcb8acb
==== Voicemail Message Transcript ====
Hello,
This is Morgan Lesko, my phone number is _-_-_, and my email address is _@_. Living most of my life in Maryland, I appreciate your tireless efforts during these unprecedented times.
This summer, I sent a formal information request via certified mail and got confirmation that the Office of the Governor received it on May 22, 2020. I still have not received any responses from your office, but the Maryland Public Information Act requires a response to my request within 30 days.
I had requested a list of all the studies which informed the Governor’s public health policies in response to the Sars-CoV-2 virus and declared pandemic. This information is being sought for educational purposes, not commercial.
Most specifically, I am requesting a list of public health studies that informed the policies ordering “all non-essential businesses and other establishments” to close, and “requiring all persons to stay at home” outside of essential needs (Order Number 20-03-30-01). There were no health studies cited in the Governor’s Order nor its press release. Scientific citations and sources should be transparently published on or throughout coronavirus.maryland.gov. Are they elsewhere? Such documentation would help clear up misinformation about the science.
Is there any kind of tracking or identification number for my formal request?
If you deny any or all of this request, please cite each specific exemption you feel justifies the refusal to release the information and notify me of the appeal procedures available to me under the law.
It would restore some of my faith if I do not need to bring this to the Maryland Public Information Act Compliance Board and the state’s Attorney General.
Thank you very much for your time.
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VIDEO
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A team from MIT put together a fascinating study on online research communities. I loved reading it and wanted to share with others to help them try to understand my world. Some of the research communities they studied sounded adjacent to independent research and media communities that I have participated in since before the 2009 Swine Flu Pandemic. The full video includes reactions to this recent MIT study plus a review of the ‘pro-mask’ studies cited by it.
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[FULL Reactions+Research] MIT study finds anti-maskers are “grounded in a more scientific rigor”
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[Reactions+Research Conclusions] MIT study finds anti-maskers are “grounded in a more scientific rigor” (Parts 1+2)
48 min: https://tinyurl.com/r8t59ypk
[Research Conclusions] MIT study finds anti-maskers are “grounded in a more scientific rigor” (Part 2)
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[Research Notes] MIT study finds anti-maskers are “grounded in a more scientific rigor” (Appendix A+B)
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(* For the record, my awesome brother Max respectfully disagrees with most views I share here on Wiki World Order. *)
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video/mp4
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Post with Transcript:
https://wikiworldorder.org/2021/02/19/richard-haass-conversation-cfr-members-are-not-new-world-order-architects-feb-11-2021/
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https://www.youtube.com/watch?v=PWpvSvFaGCQ&t=22m24s
https://www.cfr.org/conference-calls/conversation-cfr-president-richard-n-haass
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ADVEN
adventure-cat-to-occupy-bilderberg-2012
A video short by Wiki World Order for Occupy Bilderberg. http://OccupyBilderberg.org
Download High Quality Video: http://WikiWorldOrder.org/video/shorts/BilderbergAdventureCat.divx
ADVENTURE CAT: What're you guys doin' this weekend?
SIBLING CATS: Sleeping, DUH!
ADVENTURE CAT: Well did you hear what's happening? May 31st through June 3rd?
SIBLING CATS: Meh, we are impressively comfortable.
ADVENTURE CAT: It's Bilderberg 2012!
SIBLING CATS: Build-A-Bear?
ADVENTURE CAT: No
SIBLING CATS: Bild-err-What?
ADVENTURE CAT: The Bilderberg Group is an annual, unofficial, invitation-only conference of approximately 150 guests from North America and Western Europe, most of whom are people of influence. About one-third are from government and politics, and two-thirds from finance, industry, labour, education and communications. Meetings are closed to the public. (source: Wikipedia)
SIBLING CATS: Where's the conference this year?
ADVENTURE CAT: It's at the Westfields Marriot by Dulles Airport in Chantilly, Virginia. If my friend Morgan still lived in Washington DC, he would be there in half a heartbeat -- half an hour actually -- and beg everyone he knows in the area to PLEASE check it out.
SIBLING CATS: Sooo, why does this matter?..powerful people meet all the time.
ADVENTURE CAT: They sure do, but usually meetings this big are much more public and universally covered for at least a few news cycles. Think about how much media attention NATO summits get...or the Oscars, or NFL Drafts.
SIBLING CATS: OH yea! Who won the Oscars?
ADVENTURE CAT: WHO CARES?! But guess who attended the Bilderberg Conference last year?... (show list of attendees)
SIBLING CATS: WOW! What a collection of some of the biggest public players in the world.
ADVENTURE CAT: No joke! Talk about the 1%...Bilderberg is the 0.00000002%.
SIBLING CATS: Why haven't we heard of this before?!
ADVENTURE CAT: Participants agree to keep details spoken at the meetings from the public, so these world leaders can speak more frankly. So the mainstream media has hardly ever mentioned it until the past few years with knowledge spreading across the internet.
SIBLING CATS: So if these meetings are behind closed doors, and invite-only, why are you going?
ADVENTURE CAT: TO PROTEST!
SIBLING CATS: Huh?
ADVENTURE CAT: Top politicians and businessmen are discussing plans for our world without transparency and therefore accountability. If they have our collective best interest in mind, what do they have to hide?...or why can't they speak honestly to us like adults?
SIBLING CATS: Good points.
MOMMA CAT: That's just a silly conspiracy theory.
ADVENTURE CAT: You're a conspiracy theory.
Actually, the phrase "conspiracy theory" is mostly just used to get most people to disregard the alternative narrative being discussed. Where conspire is defined as 'to act in harmony toward a common end,' this is more conspiracy fact.
SIBLING CATS: Yea! And the Bilderberg Group seems to be the world's most public steering committee. The attendees can both help manifest the plans toward their common ends, as well as take advantage of knowing what this powerful crowd hopes will happen in the next year.
ADVENTURE CAT: That sure does seems to be the case, and other organizations like the Council on Foreign Relations and the Trilateral Commission spend more of the year hashing out more concrete policy details, plans, and drafting legislation.
MOMMA CAT: What if you're put on some terrorist watch list or NDAA-ed out of your relative freedom.
ADVENTURE CAT: This is no time to let such fears beat us, mom. If we don't have at least a voice, we don't have anything. And there is WAY too much going on 'in our name' to be passive. Anyone with half a whisker of my curiousity should seriously check it out.
Occupy Bilderberg!
SIBLING CATS: Occupy Bilderberg!
ADVENTURE CAT: Occupy Bilderberg!
SIBLING CATS: Occupy Bilderberg!
ADVENTURE CAT: Occupy Bilderberg!
SIBLING CATS: Occupy Bilderberg!
OK, LET'S GO!..
PS. So sorry about the ads, i usually don't allow them but YouTube wouldn't allow me to upload this as Creative Commons because of my Basement Jaxx use. Sorry, and hope it was worth it ;)
Full Blog Post: http://WikiWorldOrder.org/2012/05/30/adventure-cat-to-occupy-bilderberg-2012/
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