Secrecy
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War
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Causality
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Probability
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Cryptography
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Probability and statistics
Statistical randomness
Applications of randomness
Randomness
Randomness means lack of pattern or predictability in events. A random sequence of events, symbols or steps has no order and does not follow an intelligible pattern or combination. Individual random ...
Randomness - Wikipedia
History of randomness
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Noise
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Statistical randomness
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Monte Carlo method
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Randomized algorithm
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Markov chain
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Pseudorandomness
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Applications of randomness
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Random number generation
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Gambler's fallacy
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Benford's law
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Boy or Girl paradox
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Shuffling
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Chaos
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Dice
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Probabilistic complexity theory
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Probabilistic data structures
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Low-discrepancy sequence
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Sampling (statistics)
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Random text generation
What happens when you crack your joints?
Here's what happens to your knuckles when you crack them
One man cracked his knuckles in one hand for 60 years and not the other. Watch the video to see what he found out.
Randomness - Wikipedia
Amazing patters from camera and monitor !!
Connect the camera and the monitor cable, and When the monitor via a video camera Made an interesting pattern.
An 8-foot-tall (2.4 m) Probability Machine (named Sir Francis) comparing stock market returns to the randomness of the beans dropping through the quincunx pattern.
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Benford's law
Benford's law, sometimes called the first-digit law, states that the first digit in many types of data sets are distributed in a non-uniform way. In fact, th...
Chaos
Brief intro to chaos theory. Enjoy ! Info: Chaos theory contends that complex and unpredictable results occur in systems that are sensitive to small changes ...
History of randomness
In ancient history, the concepts of chance and randomness were intertwined with that of fate. Many ancient peoples threw dice to determine fate, and this later evolved into games of chance. At the sam...
History of randomness - Wikipedia
Noise
Noise means any unwanted sound. Sounds, particularly loud ones, that disturb people or make it difficult to hear wanted sounds, are noise. For example, conversations of other people may be called nois...
Statistical randomness
A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal dice roll, or the digits of π exhibit statist...
Monte Carlo method
Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are often used in physical and ma...
Monte Carlo method - Wikipedia
Randomized algorithm
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the ...
Markov chain
A Markov chain (discrete-time Markov chain or DTMC), named after Andrey Markov, is a random process that undergoes transitions from one state to another on a state space. It is required to possess a p...
Markov chain - Wikipedia
Pseudorandomness
A pseudorandom process is a process that appears to be random but is not. Pseudorandom sequences typically exhibit statistical randomness while being generated by an entirely deterministic causal proc...
Applications of randomness
Randomness has many uses in science, art, statistics, cryptography, gaming, gambling, and other fields. For example, random assignment in randomized controlled trials helps scientists to test hypothes...
Random number generation
A random number generator (RNG) is a computational or physical device designed to generate a sequence of numbers or symbols that lack any pattern, i.e. appear random.The many applications of randomnes...
Gambler's fallacy
The gambler's fallacy, also known as the Monte Carlo fallacy or the fallacy of the maturity of chances, is the mistaken belief that, if something happens more frequently than normal during some period...
Benford's law
Benford's law, also called the First-Digit Law, refers to the frequency distribution of digits in many (but not all) real-life sources of data. In this distribution, 1 occurs as the leading digit abou...
Benford's law - Wikipedia
Boy or Girl paradox
The Boy or Girl paradox surrounds a set of questions in probability theory which are also known as The Two Child Problem, Mr. Smith's Children and the Mrs. Smith Problem. The initial formulation of th...
Shuffling
Shuffling is a procedure used to randomize a deck of playing cards to provide an element of chance in card games. Shuffling is often followed by a cut, to help ensure that the shuffler has not manipul...
Shuffling - Wikipedia
Chaos
Chaos may refer to any state of confusion or disorder, it may also refer to:
Dice
Dice (singular die or dice; from Old French dé; from Latin datum "something which is given or played") are small throwable objects with multiple resting positions, used for generating random numbers...
Dice - Wikipedia
Probabilistic complexity theory
A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the ...
Probabilistic data structures
Low-discrepancy sequence
In mathematics, a low-discrepancy sequence is a sequence with the property that for all values of N, its subsequence x1, ..., xN has a low discrepancy.Roughly speaking, the discrepancy of a sequence i...
Low-discrepancy sequence - Wikipedia
Sampling (statistics)
In statistics, quality assurance, & survey methodology, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the ...
Random text generation
Algorithmic information theory
Algorithmic information theory is a subfield of information theory and computer science that concerns itself with the relationship between computation and information. According to Gregory Chaitin, it...
Resampling (statistics)
In statistics, resampling is any of a variety of methods for doing one of the following:Common resampling techniques include bootstrapping, jackknifing and permutation tests.
Bootstrapping is a st...
Reverse Monte Carlo
The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis-Hastings algorithm to solve an inverse problem whereby a model is adjusted until its parameters have the greate...