#21

Predictive analysis is also pretty self-explanatory, as it is used to make predictions about future events based on “current and past facts and figures". We rely on predictive analysis for weather forecasts, and many businesses including marketing companies, insurance companies, financial corporations and online service providers use predictive analysis to gain competitive advantages. Conversely, prescriptive analysis uses data to determine the best reaction to a situation. It relies on several techniques including simulation, graph analysis, algorithms, complex event processing and more.
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#24

Exploratory analysis is generally “the first step of the data analysis process that is conducted prior to any other statistical analysis techniques”. It is not the sole method for predicting or drawing conclusions, but it provides a preview of data and can give valuable insight. Causal analysis is used to understand the reason behind why events occur. For example, it can be used by businesses to trace what went wrong in a failed experiment or by IT companies to check the quality assurance of their software. Lastly, mechanistic analysis is the least common type and is used to “understand the definite changes that could make changes in other variables”. For example, it is used in biological sciences "when studying and inspecting how various parts of the virus are affected by making changes in medicine".
#27

It only takes 23 people in the same room for there to be a 50% chance two of them share the same birthday.
I hope this list is showing you how interesting random statistics about our world can be. I'm thankful for all of the curious statisticians who did the work to figure out these facts and all of the Reddit users who were able to share them with us. Don't forget to upvote all of your favorites, and then let us know in the comments what the most interesting statistic you know is!
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