Amazing work dismantling the murderous propaganda of Wind-farm-Viki.
I lack the words to qualify the depth of the crime committed against mankind and life itself by these people. They can manufacture their alternate version of reality only for a time.
Time for courts will come, and this documentation will be precious. Thanks again.
"We had to withdraw the award-winning Daz washing powder, but we are not telling you why as that is just a little bit sensitive (India??). But, anyway, not to worry, our study shows that Daz damages your clothes no more than the washing in our study where we didn't use any washing powder. Though outside our study, clothes get damaged at half that rate. Ignore the fact that Daz doesn't actually clean your clothes; that's irrelevant for our current purposes. Anyway, from our study we can confidently conclude that revolutionary new Ariel Bio is super-safe, apart from failing to clean your clothes, and we tested Daz in in our study, not Ariel Bio. 97% of scientists agree."
I had a similar impression: AI was brought in to design goal-seeked "scientific research" papers to support the vaxx. This is essentially AI-powered propaganda, not science. Scientists and the medical profession are still asleep, remarkably. Very naive.
Amazing work Dr Syed. I wouldn't trust the NHS Scotland data for anything at any time frankly. I had a seven year petition go through the parliament there with input from Healthcare Improvement Scotland and the various quangos associated with it. All set up in that Byzantine way to leave accountability an impossibility.
Those behind this apparently fraudulent research must surely be open to the charge of accessory to murder in the context of ‘crimes against humanity’ and accessory to no-consent experimentation in the context of the Nuremberg Code? ‘Sounds pretty serious, and evil, I would think.
And then for health regulatory agencies to aim psyops propaganda/recommendations at pregnant women upon it without independent expert analysis and/or corroboration would appear to be an extremely serious ‘malfeasance in public office’.
From a precursory reading of 'Viki' (who smells very synthetic as an account) list of so-called 'studies' previously, they're essentially broken or flawed in different ways, or 'Viki' makes claims not even supported by the studies (E.G. claiming lower spontaneous terminations when the paper cited doesn't even cover that area).
The fact that these evident fraudsters now have to launder data, hidden in black boxes bypassed by peer review (of which Nature Communications is part of the fraud) have to use evidently ghostwritten synthetic data just proves the real world data shows the complete opposite.
"this study is so deliberately confusing"
This is a classic red flag for *manipulation of outcomes data*. They have an outcome they want to prove, so they invent distorted, overly complex "filtration" (editing and deletion) criterion to arbitrary dispatch and remove unwanted data so they can force the outcome they want.
The fact not even Nature Communications (usually a pharmaceutical rubber stamp) want to 'peer review' is a red flag.
I would say, Syed, ask Nature Communications who *did* approve the paper, given NC mysteriously seem to have withheld the 'whom'. If it's a baseless, predatory peer review journal outlet with no legs (which I suspect it is given NC's reluctance to admit who it was), it'd completely destroy the paper.
"Now, I’ve been around data science a while and data scientists (the ones who procure the data using SQL or HL7) don’t in general look like these three - they tend to be geeks who spend a lot of time on computers. ":
Been working with SQL and specializing in relational database design for the past quarter century, and I agree and resemble that.
Thank you Dr. Syed for exposing medical tyranny. It is doctors such as you that give me HOPE. This is Spiritual warfare, a global genocide. I pray hard, all day, every day & believe our Creator lives in the TRUTH. GOD/good vs evil. I've dedicated my Soul to the Lord & will never stop speaking TRUTH to medical tyranny ...
Thank you! Amazing work as always. Glad you are unstoppable. I read some of the DMs you shared on Twitter. Vile Mosters come at you. I cant comprehend the evil you are witnessing and tracking with your eyes wide open and scalpel like focus daily. Thank you.
If you believed all the hype about Data Science, Machine Learning and Artificial Intelligence you would be excited about the benefits to humanity. . ."How wonderful the World will be!"
But what in fact is happening all too frequently is that the data science tool is being used not to search for and accurately represent reality, the truth, but rather to achieve financial profit or power to the detriment of the health or life of others. . . but this is "nothing new under the sun."
If the last three years should have reminded us of anything, it is that we should be extremely skeptical of the objectives of government and big business. . .as the founders of this Country knew so well. . .and from which sought, through the Constitution, to protect future generations.
Data Science, in the wrong hands, is being used maliciously in pursuit of profit-power. . .injuring and killing millions. . .far more than those harmed by actual guns in the hands of those whose behavior may have been engendered by bad vaccines, bad health care, bad food, and abysmal education (leading to significant moral decline). . .much of which was guided and supported by bad data science.
It is not the "gun" that pulls the trigger. . .it is the human. The target at which the "gun" is aimed and the consequent good or evil is solely determined by the intent in the mind of the human holding the "gun."
The scientific "gun" is a potential weapon of mass destruction when it is wielded by people with ill-conceived intent. . .minds and intentions addled by power-hunger, greed, drugs and other delusions.
Our and many other governments, and big business are still engaged in supressing the truth about the COVID pandemic fiasco.
This is but one of myriads. . .yet another example of the human tendency to misuse nearly any human-created device.
Blocking out the data cleansing/processing code should disqualify that paper from publication. Without knowing how the researchers handled the usual problems like missing values, systematic error (etc) you can't be confident in the results.
That sort of strategy is probably acceptable in some circumstances. Take a civil engineer who is proposing a new method for studying water distribution systems. She has a bunch of data obtained from embedded sensors, and there is a certain amount of noise. She states that she cleaned up the noise by using some form of filter, and that the raw data is not available. That would probably fly because the research contribution is really about a new method and not about the precise flows of material in that particular system.
There are fields where the high frequency details matter. Genome wide association studies are one such field: you are looking for rare events, and errors in the dataset are a big problem. Medical research is another one of these fields.
Debunking Viki Male: Part 2 - the Calvert Affair
Amazing work dismantling the murderous propaganda of Wind-farm-Viki.
I lack the words to qualify the depth of the crime committed against mankind and life itself by these people. They can manufacture their alternate version of reality only for a time.
Time for courts will come, and this documentation will be precious. Thanks again.
Every one of these liars is complicit in mass murder. They must all be brought to unwavering justice.
"We had to withdraw the award-winning Daz washing powder, but we are not telling you why as that is just a little bit sensitive (India??). But, anyway, not to worry, our study shows that Daz damages your clothes no more than the washing in our study where we didn't use any washing powder. Though outside our study, clothes get damaged at half that rate. Ignore the fact that Daz doesn't actually clean your clothes; that's irrelevant for our current purposes. Anyway, from our study we can confidently conclude that revolutionary new Ariel Bio is super-safe, apart from failing to clean your clothes, and we tested Daz in in our study, not Ariel Bio. 97% of scientists agree."
I had a similar impression: AI was brought in to design goal-seeked "scientific research" papers to support the vaxx. This is essentially AI-powered propaganda, not science. Scientists and the medical profession are still asleep, remarkably. Very naive.
Amazing work Dr Syed. I wouldn't trust the NHS Scotland data for anything at any time frankly. I had a seven year petition go through the parliament there with input from Healthcare Improvement Scotland and the various quangos associated with it. All set up in that Byzantine way to leave accountability an impossibility.
Those behind this apparently fraudulent research must surely be open to the charge of accessory to murder in the context of ‘crimes against humanity’ and accessory to no-consent experimentation in the context of the Nuremberg Code? ‘Sounds pretty serious, and evil, I would think.
And then for health regulatory agencies to aim psyops propaganda/recommendations at pregnant women upon it without independent expert analysis and/or corroboration would appear to be an extremely serious ‘malfeasance in public office’.
Amazing dismantlement Syed!
From a precursory reading of 'Viki' (who smells very synthetic as an account) list of so-called 'studies' previously, they're essentially broken or flawed in different ways, or 'Viki' makes claims not even supported by the studies (E.G. claiming lower spontaneous terminations when the paper cited doesn't even cover that area).
The fact that these evident fraudsters now have to launder data, hidden in black boxes bypassed by peer review (of which Nature Communications is part of the fraud) have to use evidently ghostwritten synthetic data just proves the real world data shows the complete opposite.
"this study is so deliberately confusing"
This is a classic red flag for *manipulation of outcomes data*. They have an outcome they want to prove, so they invent distorted, overly complex "filtration" (editing and deletion) criterion to arbitrary dispatch and remove unwanted data so they can force the outcome they want.
The fact not even Nature Communications (usually a pharmaceutical rubber stamp) want to 'peer review' is a red flag.
I would say, Syed, ask Nature Communications who *did* approve the paper, given NC mysteriously seem to have withheld the 'whom'. If it's a baseless, predatory peer review journal outlet with no legs (which I suspect it is given NC's reluctance to admit who it was), it'd completely destroy the paper.
"Now, I’ve been around data science a while and data scientists (the ones who procure the data using SQL or HL7) don’t in general look like these three - they tend to be geeks who spend a lot of time on computers. ":
Been working with SQL and specializing in relational database design for the past quarter century, and I agree and resemble that.
Thank you Dr. Syed for exposing medical tyranny. It is doctors such as you that give me HOPE. This is Spiritual warfare, a global genocide. I pray hard, all day, every day & believe our Creator lives in the TRUTH. GOD/good vs evil. I've dedicated my Soul to the Lord & will never stop speaking TRUTH to medical tyranny ...
Thank you! Amazing work as always. Glad you are unstoppable. I read some of the DMs you shared on Twitter. Vile Mosters come at you. I cant comprehend the evil you are witnessing and tracking with your eyes wide open and scalpel like focus daily. Thank you.
Thank you for this!
If you believed all the hype about Data Science, Machine Learning and Artificial Intelligence you would be excited about the benefits to humanity. . ."How wonderful the World will be!"
But what in fact is happening all too frequently is that the data science tool is being used not to search for and accurately represent reality, the truth, but rather to achieve financial profit or power to the detriment of the health or life of others. . . but this is "nothing new under the sun."
If the last three years should have reminded us of anything, it is that we should be extremely skeptical of the objectives of government and big business. . .as the founders of this Country knew so well. . .and from which sought, through the Constitution, to protect future generations.
Data Science, in the wrong hands, is being used maliciously in pursuit of profit-power. . .injuring and killing millions. . .far more than those harmed by actual guns in the hands of those whose behavior may have been engendered by bad vaccines, bad health care, bad food, and abysmal education (leading to significant moral decline). . .much of which was guided and supported by bad data science.
It is not the "gun" that pulls the trigger. . .it is the human. The target at which the "gun" is aimed and the consequent good or evil is solely determined by the intent in the mind of the human holding the "gun."
The scientific "gun" is a potential weapon of mass destruction when it is wielded by people with ill-conceived intent. . .minds and intentions addled by power-hunger, greed, drugs and other delusions.
Our and many other governments, and big business are still engaged in supressing the truth about the COVID pandemic fiasco.
This is but one of myriads. . .yet another example of the human tendency to misuse nearly any human-created device.
Blocking out the data cleansing/processing code should disqualify that paper from publication. Without knowing how the researchers handled the usual problems like missing values, systematic error (etc) you can't be confident in the results.
That sort of strategy is probably acceptable in some circumstances. Take a civil engineer who is proposing a new method for studying water distribution systems. She has a bunch of data obtained from embedded sensors, and there is a certain amount of noise. She states that she cleaned up the noise by using some form of filter, and that the raw data is not available. That would probably fly because the research contribution is really about a new method and not about the precise flows of material in that particular system.
There are fields where the high frequency details matter. Genome wide association studies are one such field: you are looking for rare events, and errors in the dataset are a big problem. Medical research is another one of these fields.
Thank you for your analysis! I was not prepared to undertake this. Nor am I qualified. I am glad you undertook this.
My midwife would fire me if I got the shot
Shit, Ben Goldacre? The guy who wrote "Bad Pharma", outlining a lot of the tricks that have been and are in use by said set of entities?
You’ve explained a new level of scientific fraud to me!! Thank you for your unwavering and incisive commentary.