Hierarchy of Evidence

Abstraction Levels of Data

Another removal from Chapter 14 that should be memorialized in a substack.

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Consider a data study in which you read that All-cause mortality rose 50% in the United States across all ages over a 2-year period. This is an abstract, or high-level data result. It is based on aggregate death records. In this case, it is only counting people who died in a given time period.

One level down in the hierarchy of data abstraction levels might be a split of age groups, gender (you know, the TWO types of gender that exist within plants and animals as God made us all), income, profession, or any of many other variables.

For example, of the aforementioned 50% increase in All-cause mortality, the Over 80 age group might have been negative 10%, the 60 to 79 age group might have been positive 55%, the 40 to 59 age group may have been 125% increase, and the Under 40 age group might have been 350%. This level of detail is far greater than simply, “All-cause mortality is up 50%.”

Down low in the hierarchy of data are more details. Many have read my analyses of Massachusetts Death Certificates in which I can track individual causes or combinations of causes of death by age to determine which causes went up or down over time. In my book, The Real CdC - COVID Facts for Regular People, I frequently use the term Record-Level Source Data, or RLSD. While this seems like the lowest level of abstraction of data, it is far from it. Of course, if I were allowed to work with RLSD from the Massachusetts Immunization Information System (MIIS) and the Vital Records database or the Medicare database to correlate them, this (covid immunization debate) would all be over in a week. If any state allows me or anyone else who can run a spreadsheet or write SQL code to have access to those databases, then we will show thousands of covid gene therapy deaths. It would only take one man-week.

At the lowest level of abstraction that represents a single datapoint of death, you will find the 2,000 page medical file of the decedent’s last twenty (20) years of life and medical care. That would include every hourly report when the decedent was in the hospital for the last two weeks of his life. It would include every medicament, dosage, time administered, images, and all that detail.

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Years ago, I was reading a study conducted by American Economist, Roland G. Fryer, Jr.. Fryer surveyed people involved in numerous incidents of police use of force across variables such as race. The poignant aspect of his study is that he randomly sampled, by interview, the individual survey takers for the reasoning behind their simple Yes/No answers. From that, Fryer was able to validate the integrity of the higher level data. If there were other rogue variables that acted in parallel to the variable under scrutiny related to his hypothesis, then only by detailed investigation of a sampling of datapoints would he be able to determine if the answers truly represented a positive or negative outcome for the hypothesis variable test. In other words, by investigating a datapoint in-depth and in detail, Fryer could be sure that the datapoint represented what he thought it represented.

I did not realize that I would later be so impressed with Fryer’s thorough work. Since then, I’ve been very disappointed with meta-analysis studies and other studies, which I find to be lazy and inconclusive. These higher level abstract studies have value in that they are persuasive. However, they are not conclusive. Thus, they can be supplemental evidence at trial or in the court of public opinion, but they should never be the primary evidence in an argument (debate).

What is missing in Science™ these days are the full hierarchy of analyses through the abstraction levels of data.

And what is most notable to me are not the studies that are done for FDA approval, but rather the easy studies that are not done and not required for FDA approval.

Why have studies not been done using saline or water as a payload in Lipid NanoParticles (LNP’s)? This is so easy. Or maybe even use NOTHING as a payload.

Don’t you think it’s important to learn if the lipids themselves are creating cellulitis or vasculitis or some other -itis?

The entire system of the FDA is a fraud on The People. The acts and inaction are willful. The intent is criminally reckless, deliberately indifferent, and grossly reckless.

The individuals at the FDA need to understand that their actions and inaction concurrent with a legal duty to act for the safety of the public, and in a knowing state of mind, are criminal felonies, many of which have no statutes of limitations. And there is no sovereign or qualified immunity for criminal behavior. Some day they will face indictment for their crimes. Maybe 5 or 20 years from now, this will happen. And I will be there with a trove of evidence representing the hundreds of thousands of Americans murdered by their deliberate indifference to life.

Fryer R. (2016). An Empirical Analysis of Racial Differences in Police Use of Force. Harvard University. Found here https://scholar.harvard.edu/fryer/publications/empirical-analysis-racial-differences-police-use-force on August 26, 2023.