We recently took a proxy of one million laboratory blood samples to measure a cross sectional sample to illustrate a range of immune system biomarkers.  Before diving into the numbers, lets probe further into “System 1” analysis and “System 2” analysis.  To illustrate system one thinking, we can take a stereotypical physician visit which suggests “you should get your influenza vaccine”.  Before we process this statement from the physician, it would be a valid system 2 response to ask, “how many times did the pharmaceutical reps buy lunch for you or your staff over the past month?”.  Such as question, can help to level the asymmetric information in such an encounter.  Most doctors allocate 5-10 minutes for a patient visit and they certainly do not help a patient understand the capability of their immune system or the level of their immune system.  This failure, would be an example of a physician making a recommendation using “System 1” as this is their trained response rather than using a “System 2” response which would require asking for questions of the patient and to understand a large cross section of data.  A small data point of many in a “System 2” analysis would know the global vaccine market is nearing $54 Billion per year on its way to $73+ Billion by 2028.

The range on infection fighting proteins (immunoglobulin) vary by as much as 10 to 1 between “healthy” people and “immune system compromised people”.  The five primary classes of immunoglobulins are IgG, IgM, IgA, IgD and IgE. These are distinguished by the type of heavy chain found in the molecule.  IgG molecules have heavy chains known as gamma-chains; IgMs have mu-chains; IgAs have alpha-chains; IgEs have epsilon-chains; and IgDs have delta-chains.