What if the false diagnosis rate was 90%?
Don’t misunderstand me. I’m a thorough believer in the existence of this virus.
I expect the ‘wait two weeks’ warning will be given & I do worry about that. Nothing in this mornings tweets asks anyone to do...
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@ukiswitheu I invite people to run the thought experiment: “what if the ‘cases’ data is inaccurate?”
Ignore ‘cases’, look instead only at excess deaths (per M Levitt’s tweet). Does that look characteristic of an epidemic? It’s completely diff from spring or any winter flu outbreak.
London:
Can anyone explain why there is no ‘2nd wave’ of excess deaths in London, without invoking herd immunity?
It’s not lockdown. See NW England:
This is the largest #SecondaryRipple (which I predicted).
https://t.co/b0rT5Lq9HI
Now check the 3 predictions I made months ago. They’ve all happened. Compare predictions from SAGE’s statements: they’re all wrong.
Even neutrals at this point might ask themselves “if he’s been right on all predictions, maybe he’s correct now?”
I’ve been saying since the Lighthouse Labs got up & running that I’m deeply sceptical about the trustworthiness of their ‘cases’ data. I showed how, at low virus prevalence, the PCR mass testing data was throwing out potentially 90% positives being
https://t.co/t4qQN4rH0u
I got ‘fact checked’ a LOT over that statement. This paper just published, about precisely that time period I speculated about. Turns out that high-80s% of Dr Healy’s positives by PCR were FALSE. This alone is sufficient in my view to throw severe doubt...
Ignore ‘cases’, look instead only at excess deaths (per M Levitt’s tweet). Does that look characteristic of an epidemic? It’s completely diff from spring or any winter flu outbreak.
London:
Can anyone explain why there is no ‘2nd wave’ of excess deaths in London, without invoking herd immunity?
It’s not lockdown. See NW England:
This is the largest #SecondaryRipple (which I predicted).
https://t.co/b0rT5Lq9HI
Now check the 3 predictions I made months ago. They’ve all happened. Compare predictions from SAGE’s statements: they’re all wrong.
Even neutrals at this point might ask themselves “if he’s been right on all predictions, maybe he’s correct now?”
I’ve been saying since the Lighthouse Labs got up & running that I’m deeply sceptical about the trustworthiness of their ‘cases’ data. I showed how, at low virus prevalence, the PCR mass testing data was throwing out potentially 90% positives being
https://t.co/t4qQN4rH0u
I got ‘fact checked’ a LOT over that statement. This paper just published, about precisely that time period I speculated about. Turns out that high-80s% of Dr Healy’s positives by PCR were FALSE. This alone is sufficient in my view to throw severe doubt...
I urge all followers who have read my criticisms of PCR mass testing in U.K. to carefully read Mr Fordham’s carefully worded letter. Note that the innovation minister in the Lords, Lord Bethel, already admitted that the PCR system doesn’t have the equivalent of an MOT. https://t.co/zXzeDMKCBb
Without this information it’s impossible to interpret any result. If the oFPR is 4%, for example, and if the true prevalence is 0.3% (it’s probably less), then for every 10,000 tests, 400 positives would be false & 30 positives would be genuine. So 93% of positives are false.
As Mr Fordham points out, almost all policies pivot on PCR mass testing. Hancock previously admitted on talkRADIO to Julia Hartley-Brewer in late summer that the FPR was “just under 1%”. That was a flat lie (possibly inadvertent but he’s never corrected the record). The reason...
...we are sure Hancock told a lie is that they have never known the FPR. Those including Hancock who believe that the oFPR can be estimated by inspection of the lowest positivity ever recorded, while logical, is completely wrong. Changes in personnel, throughout, testing...
...architecture & the like can radically alter the oFPR. Since Hancock’s remark in late summer, PCR mass testing has moved into the Lighthouse Labs & this creates a new & urgent need to continually assess oFPR. I’ve good reason to believe it’s now VERY much higher now that the...
So I wrote back to @lucyfrazermp for another go. Here\u2019s my letter.
— Edmund Fordham (@EdmundFordham) November 28, 2020
They don\u2019t understand how serious this is.
If they can\u2019t tell us the oFPR, our PCR testing is worthless. (thread) pic.twitter.com/zHJ8SJCzf1
Without this information it’s impossible to interpret any result. If the oFPR is 4%, for example, and if the true prevalence is 0.3% (it’s probably less), then for every 10,000 tests, 400 positives would be false & 30 positives would be genuine. So 93% of positives are false.
As Mr Fordham points out, almost all policies pivot on PCR mass testing. Hancock previously admitted on talkRADIO to Julia Hartley-Brewer in late summer that the FPR was “just under 1%”. That was a flat lie (possibly inadvertent but he’s never corrected the record). The reason...
...we are sure Hancock told a lie is that they have never known the FPR. Those including Hancock who believe that the oFPR can be estimated by inspection of the lowest positivity ever recorded, while logical, is completely wrong. Changes in personnel, throughout, testing...
...architecture & the like can radically alter the oFPR. Since Hancock’s remark in late summer, PCR mass testing has moved into the Lighthouse Labs & this creates a new & urgent need to continually assess oFPR. I’ve good reason to believe it’s now VERY much higher now that the...
More from Health
this simple, counter narrative fact keeps cropping up all over the world.
hospital and ICU utilization has been and remains low this year.
it's terribly curious that so few of these monitoring tools provide historical baselines.
getting them is like pulling teeth.
we might think of this as an oversight until you see stuff like this:
this woman was arrested for filming and sharing the fact that their are empty hospitals in the UK.
that's full blown soviet. what possible honest purpose does that
this is the action of a police state and a propaganda ministry, not a well intentioned government and a public heath agency.
"we cannot let people see the truth for fear they might base their actions on real facts" is not much of a mantra for just governance.
90% full ICU sounds scary until you realize that 90-100% full is normal in flu season.
staffed ICU beds are expensive to leave empty. it's like flying with 15% of the plane empty. hospitals don't do that.
and all US hospitals are mandated to be able to flex to 120% ICU.
the US is currently at historically low ICU utilization for this time of year.
61% is "you're all going to go out of business" territory as is 66% full hospital use.
can you blame them for mining CARES act money? they'll die without it.
hospital and ICU utilization has been and remains low this year.
it's terribly curious that so few of these monitoring tools provide historical baselines.
getting them is like pulling teeth.
It took a Freedom of Information request but @Covid19DataUK acquired 2017-2019 averages for England hospitalizations.
— Yinon Weiss (@yinonw) December 31, 2020
2020 had 18% fewer hospitalizations than prior years.
All around the world, using hospital data without context of prior years is just a fear generating lie. pic.twitter.com/DJDpqhIQuw
we might think of this as an oversight until you see stuff like this:
this woman was arrested for filming and sharing the fact that their are empty hospitals in the UK.
that's full blown soviet. what possible honest purpose does that
this is the action of a police state and a propaganda ministry, not a well intentioned government and a public heath agency.
"we cannot let people see the truth for fear they might base their actions on real facts" is not much of a mantra for just governance.
90% full ICU sounds scary until you realize that 90-100% full is normal in flu season.
staffed ICU beds are expensive to leave empty. it's like flying with 15% of the plane empty. hospitals don't do that.
and all US hospitals are mandated to be able to flex to 120% ICU.
the US is currently at historically low ICU utilization for this time of year.
61% is "you're all going to go out of business" territory as is 66% full hospital use.
can you blame them for mining CARES act money? they'll die without it.
You gotta think about this one carefully!
Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)
The test is 99% effective in detecting both sick and healthy people.
Your test comes back positive.
Are you really sick? Explain below 👇
The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through
You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.
👇
Here is what we know:
- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative
Assuming 1 million people take the test (including you):
- 100 of them are sick
- 999,900 of them are healthy
👇
Let's now test both groups, starting with the 100 people sick:
▫️ 99 of them will be diagnosed (correctly) as sick (99%)
▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)
👇
Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)
The test is 99% effective in detecting both sick and healthy people.
Your test comes back positive.
Are you really sick? Explain below 👇
The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through
Really doesn\u2019t fit well in a tweet. pic.twitter.com/xN0pAyniFS
— Dr. Lena Sugar \U0001f3f3\ufe0f\u200d\U0001f308\U0001f1ea\U0001f1fa\U0001f1ef\U0001f1f5 (@_jvs) February 18, 2021
You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.
👇
Here is what we know:
- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative
Assuming 1 million people take the test (including you):
- 100 of them are sick
- 999,900 of them are healthy
👇
Let's now test both groups, starting with the 100 people sick:
▫️ 99 of them will be diagnosed (correctly) as sick (99%)
▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)
👇
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THREAD PART 1.
On Sunday 21st June, 14 year old Noah Donohoe left his home to meet his friends at Cave Hill Belfast to study for school. #RememberMyNoah💙
He was on his black Apollo mountain bike, fully dressed, wearing a helmet and carrying a backpack containing his laptop and 2 books with his name on them. He also had his mobile phone with him.
On the 27th of June. Noah's naked body was sadly discovered 950m inside a storm drain, between access points. This storm drain was accessible through an area completely unfamiliar to him, behind houses at Northwood Road. https://t.co/bpz3Rmc0wq
"Noah's body was found by specially trained police officers between two drain access points within a section of the tunnel running under the Translink access road," said Mr McCrisken."
Noah's bike was also found near a house, behind a car, in the same area. It had been there for more than 24 hours before a member of public who lived in the street said she read reports of a missing child and checked the bike and phoned the police.
On Sunday 21st June, 14 year old Noah Donohoe left his home to meet his friends at Cave Hill Belfast to study for school. #RememberMyNoah💙
He was on his black Apollo mountain bike, fully dressed, wearing a helmet and carrying a backpack containing his laptop and 2 books with his name on them. He also had his mobile phone with him.
On the 27th of June. Noah's naked body was sadly discovered 950m inside a storm drain, between access points. This storm drain was accessible through an area completely unfamiliar to him, behind houses at Northwood Road. https://t.co/bpz3Rmc0wq
"Noah's body was found by specially trained police officers between two drain access points within a section of the tunnel running under the Translink access road," said Mr McCrisken."
Noah's bike was also found near a house, behind a car, in the same area. It had been there for more than 24 hours before a member of public who lived in the street said she read reports of a missing child and checked the bike and phoned the police.