Triumph of Reason: Statistics
by Groff Schroeder
Benjamin Disraeli wrote, "There are three kinds
of lies - lies, damned lies and statistics." While lies and damned
lies obviously are lies, statistical measures such as grade point
averages, homicide numbers and infant mortality rates successfully
represent reality and enable architecture, engineering and medicine.
The results of mathematical calculations do not change, so statistical
analysis of a data set always provides the same answer - unless you
create (falsify) the value(s) you want, or make a mistake during the
calculation. |
Statistics is a branch of applied mathematics capable
of inferring a system's future behavior through probabilistic analysis
of past data (measurements) of the system. Statistical inferences
based on large, representative data sets and mathematically rigorous
probability calculations are extraordinarily successful in the analysis
of reality. Statistical inferences can detect election fraud; they
also allow the discrimination of association and causality, verifying
mathematically if one thing is merely associated with another thing
or is actually caused by it. Without statistics, modern technology
would not exist. |
Hundreds of years of statistical analysis provide extremely
accurate and precise information, upon which the research and development
of almost any product is critically dependent. Statistically derived
facts of nature stemming from repeated analysis of physical properties
of materials (melting points, configurations, conformation, etc.),
characteristics of structures (statics and dynamics), energy exchange
(thermodynamics), charge flow (electronics) and behaviors of systems
(cybernetics) allow engineers to correctly predict the future behavior
of their designs. However, since the standard deviation is a key concept
of statistics, exact predictions are unlikely. Instead, statistics
quantifies the observer's level of uncertainty about a system, allowing
informed action based upon known probabilities. |
Statistical relationships help insurance underwriters
calculate premiums based upon risk factors like age and smoking -
making profits possible despite regularly writing huge checks. Sports
fans rarely reject batting averages and other statistical records
as lies, even though steroids or other mechanisms of cheating might
make them incorrect. We might interpret a weather report predicting
a 20% chance of rain as incorrect if it does not rain at our location
- while those in the 20% of the forecast region receiving precipitation
see the forecast as correct. |
Statistics supporting what we want to believe are easier
to accept than those that do not. However, a major value of statistics
is their ability to repeatedly verify what we do not want to hear.
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When purposefully falsified or plucked from the air,
statistics actually are lies. However, statistical inferences correctly
calculated from valid data provide stunningly accurate, precise and
repeatable tools for the evaluation of the past, present and future.
Despite their awe-inspiring power as a predictive and retrospective
tool, many people do not understand statistics (or even mathematics
in general), making it easy for some to misrepresent the meaning of
statistical inferences - even after the correct application of probabilistic
relationship to valid data. Here, the statistics are not lies, but
the conclusions drawn from them are. Because people rarely question
even easily verifiable claims, outrageous misrepresentations of statistics
can be wildly successful, as long as key information remains inaccessible.
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While opportunity for misrepresentation and abuse
always exists, without statistics none of our technology would work.
Statistics offers an extremely powerful but easily manipulated tool
for understanding nature, so skepticism and critical thinking play
an important role in assessing their validity.
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