🐸 Bad Religion - Resist Stance 🐸
🎵🎵🎵🎵🎵🎵🎵🎵🎵🎵🎵
Seeds of rebellion lay outside your front door
If you nourish them and water them they'll grow into a healthy "what for?"
And if revolution isn't what's in store
How can you care anymore?
It's a dangerous slip,
A conscientious shift
In the spirit of resistance you gotta hold your grip
Lest the state of your resolve makes you quickly devolve to a fundamentalist
~~
You're an archetype,
That they can pin to the wall
As you cling to all convictions like a farm animal in its stall
Never thinking of the bigger world outside
As they take you for a ride
It's a dangerous slip,
A conscientious shift
In the spirit of resistance you gotta hold your grip
Because passion unabated can be readily conflated as belligerence
It's a dangerous slip,
A conscientious shift
The spirit of resistance you gotta hold your grip
And the verdict won't be kind 'cuz they're desperate for a viable alternative
Take a stance. The Resist stance.
Take a stance. The Resist stance.
Take a stance. The Resist stance.
Take a stance. The Resist stance.
🎵🎵🎵🎵🎵🎵🎵🎵🎵🎵🎵
Random YT comment I saw that was really interesting.
"Most of the more severe illnesses happen to people by surprise, unexpectantly, impacting first in the brain, then in the corresponding organ which that part of the brain controls. The end of WWI had absolutely everything to do with the Flu and lung TB outbreak that occurred killing millions. In nature, the biological conflict linked with a territorial fear (just what it means—a fear in your territory, your home, your community, etc.) is a widening of the bronchia (tissue loss). Your body attempts to widen your bronchia in order to allow more air into your lungs to give you more strength and energy to fight to keep your territory safe. Stay with me.......The biological conflict linked with a death fright impacts the lungs. The lungs attempt to grow larger in order to allow more air in because breath equals life, as we all know. No breath equals death.
While you are in the fear or death fright conflict, you notice no symptoms of “disease”, except you have cold hands, cold feet, you can’t sleep, you awaken at 3 AM every night, you have little appetite. During the WW1, millions of people were in fear of the bombing of their homes and cities where the war was most active. Fearing for their lives, their loved ones in the war, their ability to survive. The food in the stores was sparse due to shortages. This lasted for 4 long years! The longer the conflict, the worse the healing phase. Within 2 weeks of the German Chancellor announcing the end of WWI, these millions of people ALL went into the healing phase all at the same time. It is during the healing phase that you experience symptoms of illness! What is the healing phase of the bronchia widening? Severe bronchitis, pneumonia. The body attempts to refill this lost tissue and you experience inflammation, fever, coughing, body aches, fatigue, etc. What is the healing phase of the extra lung tissue that grew? Decomposing of the tissue by TB bacteria and fungi. The symptoms of this healing phase are: severe coughing up of blood and tissue, fever, inflammation, severe mucous, body aches, fatigue. During this decomposing of the extra tissue (tumor), the body expels a lot of protein, and without replenishment, severe protein loss can result in death. Antibiotics did not exist yet. If TB bacteria does not exist in a person or they have been vaccinated against TB (big mistake), then the tumor will simply encapsulate and become dormant and not harm you. Who died during the Spanish Flu? Mainly the poor who could not afford to buy meat and proper nourishment, and the people who were directly impacted by the bombings and destruction of their homes.
Millions of people suffered fear and death frights during the fighting of WWI, and millions of people all went into healing at the end of it. Not everyone was affected because not everyone suffered the same way.
It’s not a “flu”, it’s not something you “catch”. It’s biological, meaningful, and unavoidable. One hundred years later, a Fear Campaign begins, using the media to spread it......"
If he did, I'm giving up on the Q stuff for good.
If he keeps dancing around the idea, my hopium levels continue slowly increasing.
Explanation and Summary of Dr. Frank’s graphs seen at the symposium:
• The title is the name of the county being examined. X Axis is Voter Age. Y Axis is Number of People.
• Number of people that can vote (18+) is the blue line (also called population).
• Number of people that are registered to vote is the black line (also called registrations).
• Number of ballots counted in 2020 election is the red line (also called ballots).
• Predicted number of ballots counted in 2020 election is the light blue line (not shown in all his graphs, also called predicted ballots).
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He has claimed that he was able to pick a random county in a state, use the ratios between (population to ballots) or (registrations to ballots) for each individual from age 18 to 100+ to generate a 6th order polynomial that is extremely precise and accurate in predicting all the ratios for all other counties in that state. The registrations to ballots prediction is even more precise than the population to ballots prediction, so that will be the focus.
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The argument he is making is that the 6th order polynomial prediction for (registrations to ballots) ratio should not be doing such a fantastic and nearly perfect job of predicting all the other counties (registration to ballots) ratio, and so there is (most likely) a nefarious algorithm in place, using the number of registrations as a base point to transform the true number of ballots into a calculated and inflated set, skewed towards (most likely) Biden.
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I screenshotted his graphs linked below in the gofile of the most 5 populated counties in Ohio. The prediction of ballots cast based upon the registrations was within 99.9% for 3 out of the 5 counties, and 99.8% and 99.7% for the other two counties. GOOD REDPILLS
Devil’s Advocate #1: 99.7%+ correlation of (registration to ballots) ratio between multiple large counties is not an anomaly at all. This is because we are dealing with large numbers. You would expect that when comparing counties, the ratio of registration to ballots cast among a certain age group would converge towards the same ratio the larger the sample size. A few million people is a big enough sample to make a correlation of 99.7-99.9% not that extreme.
There are roughly 1,000,000 people in Franklin County. Each individual age from 18-70 has roughly 10,000 people registered. This means that for each age, this magic polynomial is predicting the EXACT number of votes per age of voter, with an average error of just 10 VOTES per age. And not just for this county, but the prediction works for each of the 5 largest counties, and all other counties, predicting the exact number of votes, for each age, plus or minus the number of fingers on your hand. This seems to be a strange anomaly.
Devil’s Advocate #2: Why wouldn’t it just be an exact match of 100% if the same transformation algorithm based on number of registrations was used in each county? In fact, it should be 100% if the number of registrations was the only variable used to make the transformation to the number of ballots.
Right, but I don’t think the number of registrations was or could even possibly be the only variable used in the algorithm. It would be far too obvious to catch if it could be just a simple transformation of the registrations. There are very complex real world variables that the algorithm would have to contend with as the election was going on. It would have to be constantly re-balancing each county and precincts numbers as they come in, adjusting for the speed of the ballots being counted in each location, and using weights to alter the constantly changing lead or deficit of a candidate. I imagine if an algorithm was used, it would have to be very rigorous to be able to contend with an extremely dynamic and fast paced situation, altering the votes as they are coming in real time.
I think the algorithm didn’t just use the number of registrations as the sole base variable to do the transformations, but rather used the number of registrations as a key static variable to constantly be striving to converge towards, without needing or wanting to hit the ratio exactly, essentially giving itself an upper and lower bound of random error that is allowed. It will likely not hit the mark exactly due to rounding and the dynamic and messy nature of the live vote counting.
https://web.archive.org/web/20210801144849if_/https://www.google.com/search?q=ivermectin
First article's title: "Why You Should Not Use Ivermectin to Treat or Prevent Covid-19"
Top Stories:
"Huge study supporting ivermectin as Covid treatment withdrawn over ethical concerns. The preprint endorsing ivermectin as a coronavirus therapy has been widely cited, but independent researchers find glaring discrepancies in the data"
"Writers Missed Ivermectin Study Retraction"
"Ivermectin COVID-19 Scandal Shows How Vulnerable Science Is to Fraud"
All of the articles negatively depict ivermectin as a treatment. And the articles aren't even about the efficacy, they are just headlines which make people think it is bad. The articles say a scientist manipulated data in 1 of the 104 studies.
https://web.archive.org/web/20210801145655/https://c19ivermectin.com/
(Where you can actually find the studies on Ivermectin. Don't you think that should be the top search result?)
His name is Sam Kendricks, a world champion. One of the best pole vaulters in the world right now. He would have been seeded 3rd with a life time best of 6.06m. (Only behind the former world record holder and the current world record holder).
https://www.youtube.com/watch?v=IAnf3jPSX7o
(He stops in the middle of his run to stand for the national anthem)
Here's where it gets interesting. Kendrick's is in the USA military, and is epitome of a classy gentlemen. If I'm not mistaken he is openly Christian and Conservative. Born in Mississippi.
If anyone was a conspiracy minded individual, one could speculate that the tests are, well... RIGGED.
I'm going to leave it up to the readers to form their own answers to the following questions. I made a report with the help of the dashboard from "welcometheeagle88" on Bitchute, among other sources.
Regarding the US, here are the questions that revealed themselves upon examination of the data:
Why were the deaths per dose of the entire population almost 4 times less frequent from Jan 25th - April 1st than from Dec 13th - Jan 24th, despite Jan 25th - April 1st having a higher percentage of all people who received the vaccine doses being age 75+?
Why were the deaths per dose from the vaccine of ages 74 and below almost twice as great during Dec 13th - Jan 24th than from Jan 25th - April 1st?
Why were the first 3,472,396 doses given to people 75+ almost six times more deadly than the next 24,190,146 doses given to people 75+?
Why were the first 21,850,000 doses given to all people almost four times more deadly than the next 131,780,000 doses given to all people?
What variables could be causing the drastic decrease in deaths per dose after Jan 24th?
Were doctors combating the vaccine side effects more effectively as time went on, with prescribed therapeutics and medicine to help quell the chance of death?
Were the most unhealthy of the elderly getting the vaccine first in December and January, and the more healthy elderly getting the vaccine later?
Were the vaccines different in some way after Jan. 24th?
Did doctors less frequently report vaccine deaths to VAERS after Jan 24th?
Did the CDC manipulate the death data, inflating it from Dec 13th- Jan 24th and/or deflating it from Jan 25th- April 1st?
Did the CDC manipulate the vaccine dose data, deflating it from Dec 13th- Jan 24th and/or inflating it from Jan 25th- April 1st?
Here is the link to my paper and the data used:
Here is the link to "welcometheeagle88" Bitchute channel. I donated $10 to get access to his sheets and data that he made.
Just heard from someone who watches Tucker. Apparently the whistleblower was reading his conversations about future shows as proof.
If the media pushes for a new variant this summer/winter and attempts lockdowns and masks again, it's important to keep in mind that the puppet masters pulling the strings of the media and government are smart. They may be using another wave of covid as a mechanism to identify the most steadfast patriots who opposed the 1st wave and now the 2nd one. Just be fully aware that this makes you a top priority target if you oppose the lockdowns and masks again.
I'll be smiling and waving right back. They operate on fear. That's all they have. Call their bluff. We win when many individuals are not afraid of the consequences of living their lives freely and in peace (no masks, no lockdowns, no forced vaccine, no other forced bullshit).
But optimistically, I sense that if they try to push any kind of '2nd wave' or 'disaster' on us, it will fail miserably because too many of us have the fortitude to stand against it now. I'm salivating over more chances to peacefully disobey their fear mongering lockdown and mask rules. And those who missed their opportunity to be free last time, "Fool me once, shame on you. Fool me twice, shame on me."
I am currently writing a paper about the bias of Wikipedia Articles and Google Search Results. Happily, I have stumbled upon some truthful/transparent articles found on Wikipedia.
https://en.wikipedia.org/wiki/Xinjiang_internment_camps
Found under the section below, click "show" under the text for a list of countries that support the brainwashing and torture camps. "Public statements of support and condemnation of Chinese policies in Xinjiang, based on joint letters at the UN."
Original Thread: https://greatawakening.win/p/12j08TiaRd/they-have-a-name-for-it-they-cal/
As a preface, it frustrates me immensely that there is a slim to none chance of ever knowing the true amount of people the vaccine will harm or kill due to the suppression of vaccination harm/death and the seemingly inevitable miscategorization and/or lack of reporting of vaccine deaths/harm that will be and is being attributed to covid-19 and perhaps covid-21/future 'strains'. Anyway...
There were 13 anecdotal stories (including post) so far about people suffering from strokes/injury/death after vaccination on one thread.
Doing some quick math, as of June 4th, (https://www.openvaers.com/covid-data) says that 5,888 deaths have occurred, among numerous injuries from covid-19 vaccine. It's frustrating that there is no category on that website specifically for strokes. I have a suspicion that death and injury from covid-19 vaccines are vastly underreported, especially if these anecdotal stories are true and not just people making stories up. For the assumptions below, let me know if there are more accurate or appropriate numbers.
Assume that 100% of people who have had or known someone who has had a stroke or serious injury after the vaccine decide to share it in the comments. Also assume 100% of the stories are authentic.
Assume there are 2,000 people with accounts that have viewed the post with the ability to comment after reading this post. Of those 2,000 people there are roughly 500 people who upvoted the post and 1,500 did not.
Assume that each of the 2,000 people who have the potential to comment a vaccine stroke/injury story act as a node who know 50 other people intimately enough so that if one of those people had a stroke, death, or serious injury after the vaccine, their story would be known by the node and posted about here. This number only includes the circle of people a commenter knows who have also been vaccinated. Assume that the 50 people is a relatively random sample of adult population (age 18-75), that has an average age of something like 30.
100%x100%x2,000x50 = 100,000 people as the total sample size. 50 might be a high estimate, because it implies that there are 50 vaccinated people each person knows intimately on a Q forum. Most of us disagree with people who decide to take the vaccine, and the majority of us, if I had to imagine, live in an environment, to some extent, in their work, family, and friends, where the vaccine acceptance and administration amount is some notable percentage below the national average. I didn't attempt to include this variable.
Of the 100,000 hypothetical candidates who received the vaccine, there are potentially 13 positive cases where there was vaccination followed by stroke-injury-death in this sample. 13/100,000. Multiplying by (50%x3,300) to scale to the population of USA that has been vaccinated (roughly 50% of 330M), this would correlate to 21,450 people in the USA who have had the vaccine and then had a stroke, death or serious injury. If 30 instead of 50 vaccinated people are known intimately by each person, then this number increases from 21,450 to 35,650.
A short side note, I would love to know the numbers of the percentage of strokes coming from vaccinated vs unvaccinated people in the last 3 months, and in the coming months.
Of course it's borderline pointless to have estimated the exact magnitude of these variables which are far more complex than what I have portrayed here, but in my mind the amount of notable anecdotal stories was enough to at least try to slosh around a coherent estimate of adverse vaccine reactions, or at least provide someone with a baseline of variables with which to improve off of.
Disclaimer, this is all very vague starting numbers and more of just speculation and curiosity. Also, I did not dedicate three specific categories for each story into death, stroke, and serious injury, that might be interesting to do, although very small sample size.
On June 14th, Disclose.tv said Biden appeared 2.5 hours late for a speech. On June 15th, 2018 there was a Q post "So what happens in 2.5 hours?" "Think meeting yesterday. Q" This is an extremely obvious Q delta. My concern is that it's too obvious.
Are there any other news outlets or posts from other Q people (Scavino/Pompeo/Trump/Grassley/etc.) that talk about Biden being 2.5 hours late? Or is the only post referencing this from Disclose.tv?
They could have very easily just posted the wait time of 2.5 hours knowing Q enthusiasts would look up the delta's. Why would a small German social media company post a Q delta? Either they are directly connected with Q comms/intel/team (unlikely), or they are setting up Q delta's for clicks, views and money. It would be quite the genius marketing strategy. Just a reminder, they do have a Patreon. I'm just a little cautious of Disclose.TV.
Their parent company is Futurebytes GmbH & Co. KG based in Germany. It's a seemingly extremely small private equity company that's entire business it just 'investing in startups', with no names of companies and businesses they have funded. Looks like a hollow ghost town of a company to me but I didn't research it long. Their website (https://www.futurebytes.de/) has very little information. I can find no name of Employees or CEO. Searching outside of their website also did not reveal anything.
Disclose.tv is also based in Passau, Germany. It has an estimated annual revenue of $9-10M and 10-42 employees. (https://www.owler.com/company/disclose) (https://www.zoominfo.com/c/disclosetv/450261125)
The only thing I could find on disclose.tv website is one employee's name, the managing director, "UM. Braun". This translates to "around brown" from German to English. So... that's weird? Names don't usually translate into random words. Also, their German Tax ID: "DE266081261" if people think they can look into that. Again, I might be bad at searching but I can find no CEO or owner name associated with Disclose.TV which is concerning. If someone has more info let me know!
In my opinion they seem to be a legitimate forum host and source of ideas and news, generally, but also mix in these Q delta's which rub me the wrong way.
Jordan Peterson recently conducted an interview with a woman from North Korea. You have to listen to her story.
In short summary,
The state of humans in North Korea is hell on Earth. Cannibalism. Mass starvation. Concentration camps (approx. 200k people). Prisons in which the average life expectancy is so short that they can't count accurate figures because people die so rapidly. Mass complete and total brainwashing of the entire population in regards to Kim il Un as their Lord Emperor. Zero history knowledge (they are taught that history started when Kim il-sung was born). Zero general knowledge of the planet or other countries. No concept of individual pursuit beyond the states needs. Illegal to trade with people. 1984 and Animal Farm are understatements. The news is always positive about how well it's going.
The list goes on as long as you want until you have the clearest picture of hell on Earth you desire to imagine.
Language Concepts that we take for granted, and knowledge, are two important things that are suppressed. They don't have the following words or are able to comprehend in North Korean vocabulary:
"Oppression, freedom, free, I, love"
She said Chinese Regime is enabling the North Korean Regime. Sex slavery, human trafficking, and pedophilia are rampant in China, North Korea, and Russia. If you detain from NK you basically have to become a sex or work slave to enter China.
The most shame I ever felt on behalf of USA is when she said she had to censor herself and was disappointed at how propagandized and politically correct the Universities are. She went to Columbia U (Prestigious University in NY) for 4 years. I was a part of the problem because I didn't speak up against the Marxist propaganda that was political correctness when I went to college in my state. I sat in silence like a good little sheep.
SUMMARY: Until now, I never fully digested the disgusting truth that America is no longer as free as it once was. It will continue to sprint towards hell until it crosses the finish line. There is a frightening amount of momentum considering many millions of young adults have been brainwashed by modern USA universities. The autopsy of the USA would reveal a death by: The silence of patriots who lacked the courage to speak the truth against political correctness, Marxism, and western guilt.
My personal antidote: (Yours may be different, and that's the beauty). Speak of the magnificent achievements in humanity and prosperity of Western Culture. Speak about the wonders of freedom. Speak about the prosperity of Capitalism and the free market. Speak about the magnificence that is the United States Constitution. Be proud to be an American. Do not be afraid of your own tongue. Do not censor your beliefs. Do not be intimidated into silence. Be compassionate and loving. Speak truth as LOUD AND AS FAR AS YOU POSSIBLY CAN.
Source: https://www.youtube.com/watch?v=8yqa-SdJtT4
"Tyranny, Slavery and Columbia U | Yeonmi Park | The Jordan B. Peterson Podcast - S4: E26"
(Yes this is a scientific term with real logical meaning. ( Years of life lost, YLL, potential years of life lost, PYLL, years of potential life lost, YPLL.)
Drug overdoses during (March 2020 to March 2021), (and all other surrounding timeframes), were a larger pandemic in terms of life years lost, than covid-19.
(With likely underestimations for drug overdoses and likely overestimations for covid-19 deaths.)
Hug someone today, talk to someone today, help someone today. It saves more lives than a mask, experimental mRNA vaccines, or lockdowns ever could.
INFORMATION WARFARE
There's a group of 8,000 kids all in different timezones. These 8,000 kids all have a cumulative average bed time. Their average bedtime is 7:30pm. Assume going to bed later is better. 2 of the 8,000 kids who are still up at 8:00pm (past the average bed time) get forced to go to bed at exactly 8:00pm rather than continuing to staying up even later. The parents tell the other 7,998 kids that they have to go sit in the corner in time-out for 2 minutes (which ends up being over an hour), drink experimental coolaid, and wear a dunce cap, otherwise a 3rd child of the 8,000 who is still up at 8:00pm will be forced to go to bed at 8:00pm.
¯_(ツ)_/¯
If there was ever a time for divine intervention, now would be it. The next 6 weeks could use some protection. It makes sense that evil people are going to try to do everything they can to poison this exhaustive audit so the first domino never has a chance to fall.
Godspeed to everyone down there, literally!
1:36:28-1:37:00 - Credentials of expert
1:38:33-1:39:00 - Snippet of encrypted data (claims millions of rows)
1:43:10-1:43:48 - Graphic of attacks
1:50:54-1:51:05 - Claims 2,995 counties (All 50 states) (out of 3,007 total counties) in USA were attacked.
~
1:46:03-1:51:15 - Attacker data explained. Claims to have validated all of this (picked 19 main attacks, these alone enough to flip multiple states and have Trump win).
Date
Source IP from attacker
Lat/Long from attacker
Province from attacker
City from attacker
Country from attacker
Source from attacker
Network from attacker
Network Name from attacker
Network Registration from attacker
Network Code from attacker
~
1:52:10-1:54:12 - Victim data explained
Target IP
Lat/Long
State
Entry Point/Owner
Network Registration
Network Code
Intrusion Method
Number of Votes Switched
~
1:55:40-1:55:50 - 518,617 votes switched from Trump to Biden from the 19 samples.
1:56:12-1:57:20 - Numbers of Votes Switched from the 19 samples.
A while ago I did some analysis on the Pompeo Flag and Lock binary tweet. With the new ;l;;gmlxzssaw I did another analysis. FULL REPORT LINKED AT END OF POST.
Experiment and Estimation Flaws
- Results were manually copied and pasted.
- Assumptions which may have incorrectly constrained the situation properly. (Assuming all keystrokes had the same probability of occurring. Assuming a prerequisite for a sufficiently coherent Q message is for it to be listed first, (alphabetically), by the cryptogram solver. Assuming the only sufficiently coherent Q message was restrained to a specific format approximating Q_********* with the preface Q being at the front or end of the solution. Possible other incorrect assumptions that would impact the results in a significant manner.)
CONCLUSION
The randomly generated tests show the difficulty for random strings of inputs to generate a coherent format for communicating a sufficiently coherent message. If examining specifically the 9 letter word translation, as is in the tweet, the probability of a random string of inputs resulting in a sufficiently coherent Q message, with the message as the first translation is roughly 2.64/100,000. If the sum of all probabilities for coherent formats for different word lengths were added, the probability is 1.3/1,000. In both of the resulting probabilities, the shift key was excluded entirely. As it is, it’s still quite intriguing and I tentatively conclude that this event was very unlikely to be an accident. This does not attempt to take into account the possible ‘relevancy’ of the word “Acquitted”. The probability would be much lower if the solutions were restrained for words solely deemed ‘relevant’.
What would have been extremely impressive is if there was only one possible translation, and that translation had a “Q” in the preface with a coherent and sufficiently clear word. It may be impossible due to how the puzzles function, but if possible it would have been extremely hard to logically refute as an accident.
This analysis may be used as a launching pad for someone who is inclined to investigate deeper, preferably one more statistically and logically adept than myself.