OK here goes. I think I have completed the not-at-all-exhaustive timeline of relevant events on IH-345 (thread)...
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global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.

above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.

clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
Hi @officestudents @EHRC @EHRCChair @KishwerFalkner @RJHilsenrath @trussliz @GEOgovuk
The Equality and Diversity section of your job application has 'gender' in what appears to be a list of the protected characteristics under the Equality Act 2010.
However...
1/15
However, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
Sex is the protected characteristic under the Act, but that is not on your list.
2/15
You then ask for the 'gender' of the applicant with options:
Male
Female.
3/15
Again, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
4/15
Sex is the protected characteristic and the only two possible options for sex are 'Female' and 'Male' as defined in the Act and consistent with biology, but you don't ask for that.
https://t.co/CEJ0gkr6nF
'Gender' is not a synonym for sex.
5/15
The Equality and Diversity section of your job application has 'gender' in what appears to be a list of the protected characteristics under the Equality Act 2010.
However...
1/15

However, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
Sex is the protected characteristic under the Act, but that is not on your list.
2/15

You then ask for the 'gender' of the applicant with options:
Male
Female.
3/15

Again, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
4/15

Sex is the protected characteristic and the only two possible options for sex are 'Female' and 'Male' as defined in the Act and consistent with biology, but you don't ask for that.
https://t.co/CEJ0gkr6nF
'Gender' is not a synonym for sex.
5/15

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A thread, co-written by @deanmbrody:
2/ First, “X” could be lots of things. Examples: What would need to be true for you to
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Founders leave VC meetings thinking that every VC will invest, but they rarely do.
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4/ So why should you ask the magic Q?
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5/ Staying in the context of soliciting investors, the question is “what would need to be true for you to want to invest (or partner with us on this journey, etc)?”
Multiple responses to this question are likely to deliver a positive result.
Why is this the most powerful question you can ask when attempting to reach an agreement with another human being or organization?
A thread, co-written by @deanmbrody:
Next level tactic when closing a sale, candidate, or investment:
— Erik Torenberg (@eriktorenberg) February 27, 2018
Ask: \u201cWhat needs to be true for you to be all in?\u201d
You'll usually get an explicit answer that you might not get otherwise. It also holds them accountable once the thing they need becomes true.
2/ First, “X” could be lots of things. Examples: What would need to be true for you to
- “Feel it's in our best interest for me to be CMO"
- “Feel that we’re in a good place as a company”
- “Feel that we’re on the same page”
- “Feel that we both got what we wanted from this deal
3/ Normally, we aren’t that direct. Example from startup/VC land:
Founders leave VC meetings thinking that every VC will invest, but they rarely do.
Worse over, the founders don’t know what they need to do in order to be fundable.
4/ So why should you ask the magic Q?
To get clarity.
You want to know where you stand, and what it takes to get what you want in a way that also gets them what they want.
It also holds them (mentally) accountable once the thing they need becomes true.
5/ Staying in the context of soliciting investors, the question is “what would need to be true for you to want to invest (or partner with us on this journey, etc)?”
Multiple responses to this question are likely to deliver a positive result.