Tag: Benford's Law

^{Type
post

Author
Gary Smith
Date
July 13, 2021

Categorized
Business and Finance, Economics

Tagged
Benford's Law, bitcoin, cryptocurrency, Frank Benford, John Maynard Keynes, Simon Newcomb, stock market}

Using Benford’s Law to Detect Bitcoin Manipulation

_{Market prices are not invariably equal to intrinsic values} _{Gary Smith

July 13, 2021

12

Business and Finance, Economics}

For a while, there was a popular belief among finance professors that the stock market is “efficient” in the sense that stock prices are always correct — the prices that an all-knowing God would set. Thus, investors can buy any stock, even a randomly selected stock, and be confident that they are paying a fair price. This belief was based on seemingly overwhelming evidence that changes in stock prices are difficult to predict. Efficient market enthusiasts argued that if stock prices are always correct, taking into account all currently available information, then any changes in stock prices must be due to new information which, by definition, is impossible to predict. Therefore, the evidence that changes in stock prices are hard to Read More ›

Futuristic heads up display blue green abstract interface

^{Type
post

Author
Eric Holloway
Date
April 26, 2021

Categorized
Philosophy, Science

Tagged
Benford's Law, Carl Sagan, Chance, Conspiracy theories, design in nature, design inference, Detachability (and design inference), Explanatory Filter, Intelligent design theory, Necessity, Probability, Voter fraud allegations (in U.S.), William Dembski}

How the Explanatory Filter Can Help Quash Conspiracy Theories

_{I found Dembski’s explanatory filter quite helpful in investigating voter fraud claims} _{Eric Holloway

April 26, 2021

10

Philosophy, Science}

William Dembski’s explanatory filter is a decision strategy for identifying events that are unlikely to have happened purely by chance. The filter proceeds in three main steps, which can be illustrated via the plot device in Contact, a novel (1985) by Carl Sagan, followed by a film (1997): Eliminate events of large probability (necessity): A radio telescope receives a pattern of beeps and pauses. Perhaps the pattern seems strange to us but we could just be overinterpreting inevitable space noise. Eliminate events of medium probability (chance): The pattern turns out to be a sequence of prime numbers. However, large randomly generated numbers sometimes feature apparent patterns (five 5s in a row, for example) that don’t signify anything. Specify the event Read More ›