Popular Articles (Page 4)

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πŸ”— Lamest Edit Wars

πŸ”— Department of Fun


Occasionally, even experienced Wikipedians lose their heads and devote every waking moment to edit warring over the most trivial thing, wasting time debating topics of no practical value, or wrestling over questions whose answers hold no practical consequence. This page documents our lamest examples. It isn't comprehensive or authoritative, but it serves as a showcase of situations where people lose sight of the big picture and obsessively expend huge amounts of energy fighting over something that, in the end, isn't really so important.

Edit warring is believed by some to be important, possibly due to the historical regularity and frequency of the occurrence of these wars. A careful and scholarly study of available archeological evidence has even suggested that edit wars may have recurred on a regular basis going back all the way to the beginning of recorded history, even before the advent of proper writing circa 2001 C.E. (see Wikipedia). In some earlier instances of edit warring, dating back from before the good old days, participants would simply utilize their swords and fight a battle, or later, their guns and fight a duel.

In modern times, physical combat has been outlawed and replaced by the careful inciting of personal attacks, strategic 3RR templating and canvassing, timely notices on WP:AN/I, and (in some cases) marking the changes as a minor edit. Truly, the revolutionary Wikipedia outlook has changed the way things get done. It has changed them from actually getting done to never getting done. On the other hand, nobody gets dispatched (so far!).

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πŸ”— Low-Background Steel

πŸ”— Metalworking πŸ”— Materials

Low-background steel is any steel produced prior to the detonation of the first nuclear bombs in the 1940s and 1950s. With the Trinity test and the nuclear bombings of Hiroshima and Nagasaki in 1945, and then subsequent nuclear weapons testing during the early years of the Cold War, background radiation levels increased across the world. Modern steel is contaminated with radionuclides because its production uses atmospheric air. Low-background steel is so-called because it does not suffer from such nuclear contamination. This steel is used in devices that require the highest sensitivity for detecting radionuclides.

The primary source of low-background steel is ships that were constructed before the Trinity test, most famously the scuttled German World War I warships in Scapa Flow.

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πŸ”— Embrace, Extend, and Extinguish

πŸ”— Computing πŸ”— Marketing & Advertising πŸ”— Computing/Software πŸ”— Computing/Free and open-source software πŸ”— Open πŸ”— Microsoft

"Embrace, extend, and extinguish" (EEE), also known as "embrace, extend, and exterminate", is a phrase that the U.S. Department of Justice found was used internally by Microsoft to describe its strategy for entering product categories involving widely used standards, extending those standards with proprietary capabilities, and then using those differences in order to strongly disadvantage its competitors.

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πŸ”— Man of the Hole

πŸ”— Biography πŸ”— Anthropology πŸ”— Brazil πŸ”— Indigenous peoples of the Americas

The Man of the Hole (also known as "Indian of the Hole", Portuguese: Γ­ndio do buraco) is a man indigenous to Brazil who lives alone in the Amazon rainforest. He is believed to be the last surviving member of his tribe. It is unknown what language he speaks or what his tribe was called. The term "Man of the Hole" is a nickname used by officials and the media; his real name is unknown.

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πŸ”— Bouba/Kiki Effect

πŸ”— Medicine πŸ”— Languages πŸ”— Medicine/Neurology

The bouba/kiki effect is a non-arbitrary mapping between speech sounds and the visual shape of objects. It was first documented by Wolfgang KΓΆhler in 1929 using nonsense words. The effect has been observed in American university students, Tamil speakers in India, young children, and infants, and has also been shown to occur with familiar names. It is absent in individuals who are congenitally blind and reduced in autistic individuals. The effect was investigated using fMRI in 2018.

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πŸ”— Impossible color

πŸ”— Color

Impossible colors (forbidden, non-physical, unrealizable or chimerical colors) are supposed colors that do not appear in ordinary visual functioning. Non-physical colors are those notionally resulting from combinations of retinal outputs which cannot arise in normal vision. Chimerical colors are perceived, typically transiently, through contrast effects.

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πŸ”— The German tank problem

πŸ”— Mathematics πŸ”— Germany πŸ”— Military history πŸ”— Statistics πŸ”— Military history/Intelligence πŸ”— Military history/World War II πŸ”— Military history/German military history πŸ”— Military history/European military history

In the statistical theory of estimation, the German tank problem consists of estimating the maximum of a discrete uniform distribution from sampling without replacement. In simple terms, suppose we have an unknown number of items which are sequentially numbered from 1 to N. We take a random sample of these items and observe their sequence numbers; the problem is to estimate N from these observed numbers.

The problem can be approached using either frequentist inference or Bayesian inference, leading to different results. Estimating the population maximum based on a single sample yields divergent results, whereas estimation based on multiple samples is a practical estimation question whose answer is simple (especially in the frequentist setting) but not obvious (especially in the Bayesian setting).

The problem is named after its historical application by Allied forces in World War II to the estimation of the monthly rate of German tank production from very few data. This exploited the manufacturing practice of assigning and attaching ascending sequences of serial numbers to tank components (chassis, gearbox, engine, wheels), with some of the tanks eventually being captured in battle by Allied forces.

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πŸ”— Phoebus Cartel

πŸ”— Technology πŸ”— Business πŸ”— Electronics πŸ”— Energy πŸ”— Home Living

The Phoebus cartel existed to control the manufacture and sale of incandescent light bulbs. They appropriated market territories and fixed the useful life of such bulbs. Corporations based in Europe and America founded the cartel on January 15, 1925 in Geneva. They had intended the cartel to last for thirty years (1925 to 1955). The cartel ceased operations in 1939 owing to the outbreak of World War II. The cartel included manufacturers Osram, General Electric, Associated Electrical Industries, and Philips, among others.

The Phoebus cartel created a notable landmark in the history of the global economy because it engaged in large-scale planned obsolescence to generate repeated sales and maximize profit. It also reduced competition in the light bulb industry for almost fifteen years. Critics accused the cartel of preventing technological advances that would produce longer-lasting light bulbs. Phoebus based itself in Switzerland. The corporation named itself PhΕ“bus S.A. Compagnie Industrielle pour le DΓ©veloppement de l'Γ‰clairage (French for "Phoebus, Inc. Industrial Company for the Development of Lighting").

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πŸ”— Pi Day

πŸ”— Mathematics πŸ”— Festivals

Pi Day is an annual celebration of the mathematical constant Ο€ (pi). Pi Day is observed on March 14 (3/14 in the month/day format) since 3, 1, and 4 are the first three significant digits of Ο€. In 2009, the United States House of Representatives supported the designation of Pi Day. UNESCO's 40th General Conference decided Pi Day as the International Day of Mathematics in November 2019.

Pi Approximation Day is observed on July 22 (22/7 in the day/month format), since the fraction ​22⁄7 is a common approximation of Ο€, which is accurate to two decimal places and dates from Archimedes.

Two Pi Day, also known as Tau Day for the mathematical constant Tau, is observed on June 28 (6/28 in the month/day format).

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πŸ”— Benford's Law

πŸ”— Mathematics πŸ”— Statistics

Benford's law, also called the Newcomb–Benford law, the law of anomalous numbers, or the first-digit law, is an observation about the frequency distribution of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the leading significant digit is likely to be small. For example, in sets that obey the law, the number 1 appears as the leading significant digit about 30% of the time, while 9 appears as the leading significant digit less than 5% of the time. If the digits were distributed uniformly, they would each occur about 11.1% of the time. Benford's law also makes predictions about the distribution of second digits, third digits, digit combinations, and so on.

The graph to the right shows Benford's law for base 10. There is a generalization of the law to numbers expressed in other bases (for example, base 16), and also a generalization from leading 1 digit to leading n digits.

It has been shown that this result applies to a wide variety of data sets, including electricity bills, street addresses, stock prices, house prices, population numbers, death rates, lengths of rivers, physical and mathematical constants. Like other general principles about natural dataβ€”for example the fact that many data sets are well approximated by a normal distributionβ€”there are illustrative examples and explanations that cover many of the cases where Benford's law applies, though there are many other cases where Benford's law applies that resist a simple explanation. It tends to be most accurate when values are distributed across multiple orders of magnitude, especially if the process generating the numbers is described by a power law (which are common in nature).

It is named after physicist Frank Benford, who stated it in 1938 in a paper titled "The Law of Anomalous Numbers", although it had been previously stated by Simon Newcomb in 1881.

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