Actuarial Insights: COVID Economy

Brilliant application of actuarial science, using governments' data to describe policy performance during COVID.

Accounts record history; Actuaries model and analyze empirical data for its significance and coherence with reality. Whether insurance or private equity selling, there's need to know what is happening in the global economy:

1. Excess deaths in 2020 did not occur.

2. Going into the pandemic, there were 135 million starving people around the world, a number that more than doubled when lockdowns were imposed, leading to ten million additional deaths per year of which 3 million are children.

3. Numbers of Billionaires swelled by a quarter as Haves benefit from losses by Have-nots.

4. Lockdowns can be predicted to shift burdens onto the people most likely to die.

5. Reliable findings validate that there is no correlation between lockdowns & lives saved.

6. Something other than viral spread affected deaths.

7. Bayesian Analysis provides startling findings suggesting that COVID is not a causative agent in death; Loss of life is heavily determined by political boundaries.

Syndemic

Pandemic data from around the world fits with the concept of a syndemic causing a mass casualty event, not a global viral outbreak.

• Governments signed contracts for vaccines long before the pandemic regardless of there being no proof of their efficacy and safety.

• There was a bait-and-switch in vaccine products produced versus the technology tested.

• Vaccine trials were underpowered and showed that all-cause mortality was higher than during the pandemic without vaccine.

• A legal case in the US was brought against Pfizer for fraudulent research and marketing, which defended itself by claiming fraud could not occur because it delivered exactly what it was contracted to deliver to the US government.

The adverse effects of injection efficacy, benefits, and harms appears to constitute a significant scientific fraud.

Temporal causation analysis

Private equity firms face intense information asymmetries where employees' survival depends on their understanding that claims made by those whose financial well-being, require they make false claims that should be given very low credibility.

Pfizer's defense is not that no fraud occurred but that it served up the fraud demanded by the US military.

A variety of Math-based methods equip actuaries to predict and empirically test models of reality using official data and assess the practical viability of analytical techniques. Specifically, a thoughtful fellow, Nick Hudson presented his detailed study of COVID data and analytical techniques, to a South African conference of his professional peers.

Mr. Hudson compared pandemic data across factors using a range of methodologies following the Actuarial Control Cycle.

https://youtu.be/hNcWbO1tY_E?si=FeEeZ3LnkUbQjeHk

Here we have an extraordinarily telling presentation revealing the inner workings and effects of the pandemic on people, business, human conditions, and our economy.

The video (linked from the image) speaks for itself as statistical correlations show how public expectations set by media, and the claims made about technologies, protocols, and methods used by authorities, contrast with both their promise and reality. Committed to making sense of our situation and discarding misleading information, Mr. Hudson pursued the truth in and behind the challenges many faced during the pandemic.

• Why study how life changed when it seemed terrible but appeared to challenge us like so many others around the world?

• Did government agencies work with or against their citizens when they declared a pandemic and imposed extrajudicial measures?

• What do we do if and when official predictions and propositions turn out to defy the facts and logic in our leaders' information?
  

When we can discern chaos from mere drama, and ascertain conspiracy from misleading propaganda, perhaps we can agree: Responsible people want real scientific debate by analysts who can produce verifiable findings independent of their financial dependencies on vested commercial and employment interests. We need to know how to guide ourselves and society going forward based on authoritative data, not just official dictates. People suffer or worse when business leaders and our loved ones blindly commit to mainstream assumptions, and Anglo-American and World Economic Forum leaders' propagation of mis- and mal-information.

Bottomline

We need to know what we are being exposed to and understand the risks and benefits of injecting novel Countermeasures before we act on someone else's urgent orders. We applaud Nick Hudson and Pandata.org for phenomenally focussed good work that provides useful insights. Can this inform business practices going forward as they speak to very human, financial, and commercial realities with global and personal implications?