Quételet, the mathematician turned astronomer who was performing social physics miracles as the central figure of Belgium science, got better in his game by learning probability theory and making use of his polymath brain. His work included estimations and calculations using the available data and his mathematical and statistical skills. Instead of counting everyone to know the population, Quételet used some reasonable estimates and then multiplied the number of births per year with the ratio of the total population to the annual births.

The new methodology was published in Quételet’s books in the 19th century, like Social Physics (1835) and its newer editions, and caught the imagination of the public. Concepts like the Average Man and the Bell Curve (a normal probability of distribution) simplified complex statistics and made it accessible to the world while being easily quotable and comparable.

The data analysis method was adopted by many pioneers in social science which made use of the various techniques and improvised upon them, studying everything from human evolution, human traits, the inheritance of genius and greatness and ways to have better offspring. These methods were named ‘eugenics’ by Francis Galton.

He also invented regression analysis, which eventually led to the study of correlation, which is the degree of relationships between two different sets of data.

One of the biggest implications of social physics turned out to be election results and the surveys that provide accurate poll result predictions.

Random samples worked in some cases, and the ‘central limit theorem’ calculated a mean value to find out the smallest sample that could work in providing accurate predictions.

Our public records, the internet and social media have provided a lightning-fast way to collect data and predict outcomes.

Telephone calls, search history, credit-card purchases and global online trends provide us never-before windows to understanding and predicting the patterns of human behaviour.