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Prof Norman Fenton Profile picture
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May 12 • 4 tweets • 3 min read
1. The impact case study (with .@MartinNeil9) on our #Bayesian network applications that was chosen as part of the .@QMUL #REF2021 submission achieved the highest possible rating 4*. Normally it’s not possible to know the rating for individual submissions...
2. Reason we know is because the QM Computer Science impact results were ranked joint top in the country – with 100% 4* ratings (so all 6 CS submissions were rated 4*). Here's a public summary of our case study from QM Press Office (apologies for typos!) eecs.qmul.ac.uk/research/featu…
3. The full submission included testimonies about critical applications with international organizations that cannot be made public because of confidentiality. The #Bayesian network software referred to is .@AgenaRisk agenarisk.com
4. For research outputs (i.e. publications) QM Comp Sci was ranked 7th out of the 90 Comp Sci Department submissions. Another outstanding achievement.

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More from @profnfenton

Prof Norman Fenton Profile picture
Apr 22
1. On 3 March I put out this blog post probabilityandlaw.blogspot.com/2022/03/why-ar… asking why UKHSA (in their March covid vaccine surveillance report) were putting out potentially highly misleading data on stillbirths by vaccine status.
2. I also did a video explaining how misleading it could be: . Instead of comparing rates for vaxxed v unvaxxed women they grouped all unvaxxed with those vaxxed prior to (but not during) pregnancy into a single "no doses in pregnancy" category.
3. This "no doses in pregnancy" category was used as a surrogate for ‘unvaxxed’ - but stillbirths to women vaxxed prior to pregnancy were in the surrogate unvaxxed catgegory. The new UKHSA covid surveillance report continues with the same obfuscation: assets.publishing.service.gov.uk/government/upl…
Read 5 tweets
Prof Norman Fenton Profile picture
Apr 17
Hey .@Twitter: why did you send me an email promoting this abusive tweet from .@K_Sheldrick to .@DrAseemMalhotra even including the f*k word in the email title? you also promoted it on my thread even though I do not follow Sheldrick.
And maybe .@BBCNews can explain how they came to select this guy to be interviewed as a 'scientist'?
Read 4 tweets
Prof Norman Fenton Profile picture
Apr 14
1. @alexandrosM and .@phillyharper are doing great work in exposing problems with the way the Together study and the narrative around it were intended to deliberately downplay benefits of Iverm**in as an early treatment of C*vid.
2. This is the latest article by @alexandrosM doyourownresearch.substack.com/p/the-problem-…
3. And this is the latest article by .@phillyharper philharper.substack.com/p/who-ran-the-…
Read 6 tweets
Prof Norman Fenton Profile picture
Apr 4
Yet another catastrophic cost of the pointless lockdowns.
And this is just the cost to taxpayers of the illegal loans which will never be repaid. There’s also the astronomical costs of (legally😉) paying millions of workers to stop working whether they wanted to or not
And don’t even get me started on the £40billion (and rising) wasted on useless track & trace and testing
Read 4 tweets
Prof Norman Fenton Profile picture
Mar 12
1. The story claiming pressure (possibly by Unitaid) to suppress evidence showing Iverm**tin effectiveness against COVID has been very well documented by .@phillyharper (philharper.substack.com/p/professor-ti…); see also Tess Lawrie's video
oraclefilms.com/alettertoandre…
2. However, this thread by bluecheck .@GidMK from Dec 21 has been brought to my attention. It attempts to discredit the claims made by Tess Lawrie and .@PierreKory. But a little investigation shows that .@GidMK claims are themselves misleading.
3. His basis for discrediting the claims are a) the Unitaid grant was $32m not $40m as claimed, and b) the grant was announced in 2019 not 2021. But he misses the key fact that Liverpool Uni issued this press release on 12 Jan 2021:
news.liverpool.ac.uk/2021/01/12/liv…
Read 8 tweets
Prof Norman Fenton Profile picture
Mar 3
1. The latest UKHSA covid vaccine surveillance report provides a figure that suggests no increased risk of stillbirth in women who are vaccinated. But, as pointed out by .@SoutarHamish those vaccinated prior to pregnancy are included in "no doses in pregnancy":
2. This is outrageous obfuscation. Even though the rest of the report contains lots of detailed raw data, there's no raw data provided to answer the simple question:
"Is the stillbirth rate higher for those unvaccinated than those vaccinated (before or during pregnancy)?"
3. To see how easy it is to arrive at a figure like UKHSA provided, even if stillbirth rates were significantly higher in the vaccinated, consider the following hypothetical example data for 20,000 pregnant women broken down into the 4 categories:
Read 7 tweets

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