Measuring Chances and Coincidences

Coincidence Statistics - A Non-Formal Approach to Probability! As Maxwell puts it straight : “The true logic of this world is in the calculus of probabilities”. When we talk literature, we mean literature only. No need to bring up bookish terms to define probability! To put this in a simpler way, think of the following scenario : Suppose some dark night a policeman walks down a street, apparently deserted; but suddenly he hears a burglar alarm, looks across the street, and sees a jewellery store with a broken window.

An Unexpected Correspondence and Some Unfinished Games

Human revolutionized and extended her/is restrictions on perception to natural phenomenon, when s/he started thinking about chances. We already know what crucial roles chances play when we cross the road on a busy traffic or while playing a game of 29 (card game), you show a card expecting your opponent doesn’t show the joker (card with highest points) of the same color. Hold on ! did I say “expecting”? So how about discussing a problem on how we actually quantify what we are actually expecting when uncertainty is playing her mighty tricks ?

Physics of Coin Tossing and Uncertainty

“It is a very tedious task !! First you have to calculate where he is and where is is not, then you must calculate where he could possibly be, then you must seek where he is at this moment, then finally you have to calculate the probability that what is the chance of finding him when you reach, where you are suspecting him to be right now." - Sukumar Ray in his Novel : “Utter Nonsense”(Ho-Jo-Bo-Ro-Lo)

Some Classical Problems and Paradoxes in Geometric Probability

“Geometry is not true, it is advantageous." - Henri Poincare Yes , exactly… it’s time to merge the two stalwarts together : “Geometry” and “Probability”. The Probability Measure of Geometrical Elements In probability theory one is usually concerned with random variables which are quantities, or sets of quantities, taking values in some set of possibilities on which there is defined a non-negative measure, satisfying certain required conditions which enable us to interpret it as a probability.

Probability from a Frequentist’s Perspective

This post discusses about the history of frequentism and how it was an unperturbed concept till the advent of Bayes. It sheds some light on the trending debate of frequentism vs bayesian thinking. “The probable is that which for the most part happens” - “Rhetoric”, Aristotle. Frequentism Hopefully this example will be able to explicate the true sense of the word: Suppose, I have misplaced my phone somewhere in my home.