CV #24(B): London School Of Hygiene & Tropical Medicine, More Modelling Financed By Gates

The London School Of Hygiene & Tropical Medicine gets substantial funding from the Bill & Melinda Gates Foundation, as does Imperial College London. And both have been funded to conduct computer modelling. Let’s dive in a bit deeper.

1. Other Articles On CV “Planned-emic”

The rest of the series is here. Many lies, lobbying, conflicts of interest, and various globalist agendas operating behind the scenes. The Gates Foundation finances many things, including, the World Health Organization, the Center for Disease Control, GAVI, ID2020, John Hopkins University, Imperial College London, the Pirbright Institute, the British Broadcasting Corporation, Sick Kids Hospital, and individual pharmaceutical companies. Worth mentioning: there is little to no science behind what our officials are doing; they promote degenerate behaviour; the Australian Department of Health admits the PCR tests don’t work; the US CDC admits testing is heavily flawed; and The International Health Regulations (IHR), that the WHO imposes are legally binding on all members.

2. Tax Filings Of B&M Gates Foundation

(Note: these are just a portion of the 2018 filings)

BILL & MELINDA GATES FOUNDATION
EIN: 56-2618866
gates.foundation.taxes.2016
gates.foundation.taxes.2017
gates.foundation.taxes.2018

3. Still Getting Money For Modelling

London School of Hygiene and Tropical Medicine
Date: September 2020
Purpose: to model the direct and indirect health and economic impacts of COVID-19 in LMICs
Amount: $166,059
Term: 11
Topic: Delivery of Solutions to Improve Global Health

Program: Global Development
Grantee Location: London
Grantee Website: http://www.lshtm.ac.uk/

Granted, the School of Hygiene and Tropical Medicine isn’t nearly as notorious as Imperial College London is at this point. However, Gates is still paying for computer modelling, so one has to wonder if the results are preplanned.

4. Earlier Gates Money For Modelling

London School of Hygiene and Tropical Medicine
Date: October 2016
Purpose: to maximize impact and accelerate development of new TB vaccines by creating and applying novel mathematical models to estimate the main target product profiles drivers for epidemiological impact of new TB vaccines
Amount: $193,437
Term: 39
Topic: Tuberculosis
Program: Global Health
Grantee Location: London
Grantee Website: http://www.lshtm.ac.uk/

The Gates Foundation also donated to some 2016 computer modelling. There are of course other grants over the years.

5. Centre for the Modelling of Infectious Diseases

The Centre for the Mathematical Modelling of Infectious Diseases (CMMID) at the London School of Hygiene & Tropical Medicine is a multidisciplinary grouping of epidemiologists, mathematicians, economists, statisticians and clinicians from across all three faculties of LSHTM.

That is the main team of researchers who are involved in the computer modelling (or guesswork), trying to determine how much viruses will spread.

6. Online Course: Intro To Modelling

Infectious diseases remain a leading cause of morbidity and mortality worldwide, with HIV, tuberculosis and malaria estimated to cause 10% of all deaths each year. New pathogens continue to emerge, as demonstrated by the SARS epidemic in 2003, the swine flu pandemic in 2009, MERS CoV in 2013, Zika in 2016 and recently, SARS-CoV-2.

Mathematical models are being increasingly used to understand the transmission of infections and to evaluate the potential impact of control programmes in reducing morbidity and mortality. Applications include determining optimal control strategies against new or emergent infections, such as SARS-CoV-2, Zika or Ebola, or against HIV, tuberculosis and malaria, and predicting the impact of vaccination strategies against common infections such as measles and rubella. Modelling was used extensively in the UK during the recent swine flu pandemic to monitor the extent of ongoing transmission and the potential impact of control such as school closures and vaccination. It is currently being used in many countries to predict the impact of interventions against COVID-19.

This two week online course, organised jointly between the London School of Hygiene & Tropical Medicine and Public Health England is intended to introduce professionals working on infectious diseases in either developing or developed countries to this exciting and expanding area. The emphasis will be on developing a conceptual understanding of the basic methods and on their practical application, rather than the manipulation of mathematical equations. The methods will be illustrated by “hands-on” experience of setting up models in spreadsheets as well as other specialist modelling packages, and seminars in which the applications of modelling will be discussed.

If you have 1,700 pounds to spare, then this modelling course may be for you. It’s an introduction into how computer modelling works to estimate growth and decay.

While it is true that computer modelling was used in Zika, Ebola and Swine Flu, that’s not really something to brag about. Just search “Neil Ferguson Imperial College London”.

The focus won’t be on manipulating mathematical equations? That’s good I guess.

7. Gates Very Well Known In LSHTM

A quick search of Bill Gates on the school’s website flags 143 articles. Gates, and his foundation, are well known and written about.

8. Models Aren’t Evidence Of Anything

This should be abundantly clear to all, but it is worth repeating. Models are just predictions, and limited by:

[1] The quality of the data coming in
[2] The understanding of how nature actually works
[3] The political agenda of the modeler

They are not proof or evidence, and should be given no weight when it comes to making complicated and expensive policy decisions.

We see time and time again that the information going in is garbage, and that the people doing the work have little to no grasp of what they are estimating. We also see too many politicians, bureaucrats, academics, and people in business who have their own agenda.

Don’t take any of these “predictions” at face value.

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