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Statistics are at the heart of modern innovations, from cutting-edge AI models to complex data science projects. But their influence isn’t limited to today’s technology — statistics have shaped human history and played a key role in solving some of the world’s greatest challenges.
Let’s have a look at five times statistics saved the world, making it what we know today.
1. Scottish Ministers’ Widows Fund (1744)
What happened?
In 1744, Reverend Alexander Webster and Dr. Robert Wallace in Edinburgh established the Scottish Ministers’ Widows Fund, one of the earliest practical applications of statistics for financial security. They used mathematical calculations based on life expectancy and population data to design a sustainable pension system for the widows of clergy.
How statistics helped
This application of actuarial science laid the foundation for modern life insurance and social security systems, proving the power of statistics in creating long-term financial stability. Note that historical accounts of early actuarial science vary, and this example represents one interpretation of the application of statistics in financial security.
2. Allied Industrial Production During World War II (1940s)
What happened?
The allies used statistical quality control techniques during World War II to streamline production. Pioneers like W. Edwards Deming and Walter A. Shewhart introduced statistical methods to reduce defects and improve efficiency in manufacturing military supplies.
How statistics helped
By ensuring high-quality equipment and weapons, statistical methods directly contributed to the war effort and helped secure victory for the allies.
3. Radar Technology and Battle Strategies in World War II (1940s)
What happened?
Alan Turing, a British mathematician and statistician, and other professionals applied statistical methods to improve radar detection during World War II. It is worth noting that while Turing’s contributions in computing and code-breaking were groundbreaking, improvements in radar detection were achieved by a broader team of scientists and engineers specializing in signal processing and physics.
How statistics helped
Statistical analysis optimized the effectiveness of radar systems, which were crucial in defending against German air raids and securing victory in key battles.
4. The Eradication of Smallpox (1980)
What happened?
Smallpox is one of the deadliest diseases in the history of humankind. It has been with us over 3000 years, claiming a third of the lives of those infected. The World Health Organization spearheaded a global vaccination strategy to eradicate this disease during the mid-20th century. The idea was to take statistics to a regional level where transmission rates were higher and allocate the limited resources in an optimized way.
How statistics helped
Statistics allowed public health officials to trace outbreaks, target large-scale immunization campaigns, and design focused interventions to maximize impact. This approach laid the groundwork for modern epidemiological models that are used to track and predict outbreak dynamics. Statistical analyses led the global effort to eradicate smallpox, declared in 1980 to be eliminated and remains the first (and only) human disease ever to have been eradicated.
5. Mapping of the Human Genome (1990–2003)
What happened?
The Human Genome Project of 1990-2003 relied heavily on statistical techniques in the sequencing and analysis of DNA. Bayesian inference and Markov models were some of the tools used in aligning genetic sequences and determining gene functions. For instance, Bayesian inference was crucial in resolving ambiguities in sequence alignments, while Markov models assisted in predicting exon-intron boundaries.
How statistics helped
By providing insights into genetic diseases and guiding medical research, statistics have enabled breakthroughs in precision medicine, saving countless lives and transforming healthcare.
And that’s all for today! Next time you work with statistics, remember: you might be the one changing our world once again.
