30/05/2026
The "truth" about routine health screenings, is that they often transform healthy individuals into patients by relying on statistical averages rather than individualized health markers.
Key insights regarding health screenings include:
The Fallacy of "Normal" Levels: Most medical standards for what is considered "normal" are actually just averages derived from a general population. These are typically calculated using a Gaussian curve (a bell curve), where the mean plus or minus two standard deviations defines the "normal" range.
Statistical Averages vs. Individual Health: Using the example of height, if the average height of an Indian is calculated to be between 5'2" and 5'6", anyone outside that range might be labeled "abnormal" by a strict statistical screening, even if they are perfectly healthy for their own body type.
The Outcome of Routine Checkups: Because these screenings are heavily touted to the public based on these population averages, a healthy person who undergoes a routine checkup frequently leaves with a diagnosis or "patient" status simply because their personal biology does not align with the statistical mean.
Instead of focusing solely on these external metrics, emphasize on the importance of mental tranquility and relaxation
