
I posted earlier about Fake Ass getting bullied at school...
So let's take a look at some of his past tweets...the ones he forgot to delete before he became a US operative, US diplomat and clandestine....
These aren't photoshopped these are actual screenshots...

More from Education
Normally I enjoy the high standards of journalism in @guardian . Not today as disappointed with misleading headline that suggest infections are spreading fastest in children. It'll worry parents/teachers & I doubt most readers will unpick the
The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
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I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
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The latest REACT1 report shows prevalence of infection in ALL age groups has fallen, including children aged 5-12 from 1.59% in Round 8 to 0.86% in Round 9a. The authors of REACT1 report also (wisely) didn't try to interpret the prevalence figures.
If this were a research trial you wouldn't place much weight on the age differences in % prevalence because of the wide confidence intervals, i.e. differences weren't statistically significant.
3/
I've previously tweeted on the challenges (& dangers) of interpreting surveillance data. One would need lots more contextual info to make sense of it & arrive at sound
Misinterpretation of surveillance data is a serious issue. Surveillance data needs to come with a warning label - Open to biases - interpret with caution! Some may not realize that surveillance often does not measure all infection, it's a proxy for actual disease incidence.
— Andrew Lee (@andrewleedr) February 14, 2021
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Undoubtedly some will extrapolate from the prevalence of infection figures in children to other settings i.e. schools based on the headline. I'd advise caution as there is a real risk of over-interpretation through extrapolation of limited data. Association is not causation.
5/
Our preprint on the impact of reopening schools on reproduction number in England is now available online: https://t.co/CpfUGzAJ2S. With @Jarvis_Stats @amyg225 @kerrylmwong @KevinvZandvoort @sbfnk + John Edmunds. NOT YET PEER REVIEWED. 1/
We used contact survey data collected by CoMix (https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/
We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/
We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/
Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/

We used contact survey data collected by CoMix (https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/
We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/

We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/

Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
