Good randomness is hard to find. Good randomness is hard to find. Computers arenât great at generating it; people are even worse. And thatâs a problem for the industries that count it as a crucial resource. The multibillion-dollar online security industry would be ineffective without random values. At its core, hacker-proof encryption requires a system that can generate reliable randomness. Such numbers are needed to keep elections honest, ensure the lottery is fair, produce scientifically accurate simulations, and to secure cryptocurrency. But the problem with randomness is that itâs not all created equal. In fact, some randomness is more random. Randomness is a lack of pattern, and the degree to which there is no pattern is known as entropy. A high-entropy source is completely chaotic: true randomness. Randomness that has some degree of order, even if tiny, is called pseudo-randomness. In this story, true randomness is the holy grail. And like the divine chalice itself, itâs tough to find. ð¦ [Tweet this!]( ð [View this email on the web](
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Randomness
October 13, 2021 The quest for random
--------------------------------------------------------------- Good randomness is hard to find. Computers arenât great at generating it; people are even worse. And thatâs a problem for the industries that count it as a crucial resource. The multibillion-dollar online security industry would be ineffective without random values. At its core, hacker-proof encryption requires a system that can generate reliable randomness. Such numbers are needed to keep elections honest, ensure the lottery is fair, produce scientifically accurate simulations, and to secure cryptocurrency. But the problem with randomness is that itâs not all created equal. In fact, some randomness is more random. Randomness is a lack of pattern, and the degree to which there is no pattern is known as entropy. A high-entropy source is completely chaotic: true randomness. Randomness that has some degree of order, even if tiny, is called pseudo-randomness. In this story, true randomness is the holy grail. And like the divine chalice itself, itâs tough to find. ð¦ [Tweet this!]( ð [View this email on the web]( Giphy By the digits [>10%:]( Share of the internet that Cloudflare keeps safe using randomness [20:]( Number, from 1-49, that came up least in the first 20 years of Britainâs national lottery, 204 times [23:]( Number that came up most, 266 times [10,231:]( âHeads-upâ coin tosses that landed on heads, out of 20,000 flips by a University of California, Berkeley student [10,014:]( âTails-upâ coin tosses that landed on tails, out of 20,000 flips by a different Berkeley student [92:]( Consecutive times a flipped coin lands on heads in the opening scene of Tom Stoppardâs Rosencrantz and Guildenstern Are Dead [£15,000 ($27,300):]( Amount the band Wilco paid in 2004 to settle a copyright claim over the [ânumbers stationâ]( sample that gave its 2002 album Yankee Hotel Foxtrot its name Giphy Explain it like Iâm 5!
Harnessing natureâs chaos
--------------------------------------------------------------- Computers tend to produce pseudo-random numbers, and they do so via a random number generator (RNG). RNGs are valuable because they can spit out many, many numbers quickly and cheaply. But ultimately theyâre just algorithms, meaning that theyâre deterministic; their behavior is set by their initial state and inputs. In other words, the same input will always produce the same output. In order to begin producing random numbers, an RNG needs a starting input, a value called a âseed.â [If you figure out the seed](, you can figure out all the random numbers it produces. Not very random or secure. So you need a random, unpredictable seed as well. Since neither computers [nor humans]( can produce this reliable randomness, we need to turn to nature. There are a handful of natural processes that defy order. It is impossible to predict radioactive decay, the motion of a double pendulum, the swirl of turbulence, or background radiation. These are all high-entropy systems, and are considered true randomnessâso is the bubble of oil in a [lava lamp](. Internet encryption company[Cloudflare famously uses lava lamps]( to seed their RNG. Among other sources of entropy, pictures of the groovy wall in their San Francisco office are fed into a computer and used to kick-start their random number generation. Sponsored by The Escape Game
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âAnyone who considers arithmetical methods of producing random digits is, of course, in a state of sin.â âMathematician [John von Neumann]( Amanda Shendruk Light reading
A Million Random Digits
--------------------------------------------------------------- Random numbers were a necessary resource even before computers could produce them quickly and cheaply. So in 1955 the RAND Corporation published hundreds of pages of random numbers in a book creatively dubbed [A Million Random Digits with 100,000 Normal Deviates](. The digits were produced using an electronic roulette wheel and it was the first time such a large and rigorously tested table of random numbers had been put into print. The tables were also available to order on [punch cards](. (One Amazon reviewer is unimpressed: âA Million Random Digits? HA! They only used 10, and just kept repeating them in different combinations! Donât be fooled!â) Howâs this for random: The New York Public Library originally shelved the book under âpsychology.â Reuters/Steve Dipaola Pop quiz
Which city was named with a coin flip?
Bennettsville, South CarolinaSaskatoon, Saskatchewan Poulsbo, WashingtonPortland, Oregon
Correct. Its founding fathers, hailing from Portland, Maine and Boston, Massachusetts, went two-out-of-three to pick which would be its namesake.
Incorrect.
If your inbox doesnât support this quiz, find the solution at bottom of email. ð§ Podcast alert! Want to know even more about randomness? Then listen to this weekâs episode of the Quartz Obsession podcast, which features reporter Amanda Shendruk, the author of this Obsession email, going down the ð° ð³. [Click here to listen](, or subscribe on [Spotify](, [Apple](, [Google](, or wherever you get your podcasts. Sponsored by American Express [Listen now to the Quartz Obsession podcast](
Reuters/Toru Hanai The way we ð² now
Public randomness
--------------------------------------------------------------- Thanks to some altruistic organizations, high entropy numbers are available for use by anyone. Theyâre called randomness beacons, and theyâve been developed by universities and public corporations. In 2018, the [University of Chile]( unveiled a public online random number service to help their comptroller general with its audits. They source their entropy from seismic measurements of the earth, radio waves, and a selection of Twitter posts. In the US, the National Institute of Standards and Technology (NIST) first launched its [Randomness Beacon]( in 2013. And in 2019, a beacon from the grandiosely named [League of Entropy]( (ânot all heroes wear capesâ) was unveiled. The League consists of Cloudflare, Protocol Labs, universities in Chile and Switzerland, Kudelski Security, and others who mix their individual sources of entropy to generate publicly verifiable random values [every minute](. Brief history [2400 BC:]( The earliest dice in the archaeological record are made in Mesopotamia. [1450:]( The first standardized, balanced dice are created. [1716:]( The first roulette wheel is developed. [1890:]( Francis Galtonâs [âdice for statistical experimentsâ]( are âperhaps the oldest surviving device for simulating normally distributed random numbers.â [1939:]( M.G. Kendall and B. Babington Smith design an electromechanical random number generator and use it to create and publish a table of 100,000 random numbers. [1946:]( The US cracks a vital Soviet intelligence code after the NKVD canât generate random numbers fast enough. [1949:]( John von Neumann describes the middle-square method, likely the first pseudo-random number generating algorithm (although [its roots are in the 13th century](). [1957:]( The UK introduces ERNIE, which uses vacuum-tube noise to generate lottery numbers. [1968:]( IBM releases the âinfamous,â [ânotoriousâ RANDU](, which computer scientist [Donald Knuth calls]( âa truly horrible random number generatorâ; nonetheless, it goes into wide use. [1995:]( Two University of California, Berkeley students reverse-engineer how the early Netscape Navigator web browser creates seeds for its random number generator. [1997:]( The [Mersenne Twister](, âa 623-dimensionally equidistributed uniform pseudo-random number generator,â is introduced; it remains possibly the most common PRNG. [2011:]( Russian scammers begin beating the odds on one companyâs slot machines after reverse-engineering the PRNG. Million-dollar question
What about quantum randomness?
--------------------------------------------------------------- Physics, youâve done it again! Scientists have already determined how to create a [quantum-based random number generator](. In 2018, researchers [publishing in Nature]( explained how they harnessed quantum mechanics to produce truly random numbers. Because the measurements of quantum particles are fundamentally unpredictable, quantum mechanics can be used to generate random numbers. In fact, the latest iteration of the National Institute of Standards and Technologyâs (NIST) randomness beacon relies in part on it. So why arenât we all using quantum random number generation? There are two fundamental problems: the process is slow, and the apparatus is large. In 2018, it took 10 minutes to produce 1,024 bits of data, which, [according to Wired](, is the equivalent of typing 13 letters per minute. And the setup itself fills an entire building at a NIST facility in the Rocky Mountains. Fun fact!
Not all scientists agree that true randomness even exists. Einstein famously claimed that God doesnât play dice. He believed there is a yet-unknown underlying order to everything in the universe. Stephen Hawking addressed the theory in [a lecture](, saying, âGod does play dice with the universe. All the evidence points to him being an inveterate gambler, who throws the dice on every possible occasion.â take me down this ð° hole!
Predictable unpredictability
--------------------------------------------------------------- [Game development]( is one of the few industries that values pseudo-randomness. Random number generation is used in gaming, for example, to introduce unpredictability. However, the randomness needs to be reproducible, so the software can be tested and so game mechanics happen the same for every player. Appleâs [GameplayKit Programming Guide]( explains how to achieve the appearance of unpredictability. Watch this! Hereâs how a random number generator worksâas applied to Super Mario 64. Giphy Poll
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RandomnessThe comforting sound of a good friend's laughterEight hours of quality sleep ð¬let's talk! In our most recent poll about [cash,]( 50% of you said that you rack up the credit card miles, 39% of you are fans of paying with paper and coin, and 11% of you have gone crypto. ð¤ [What did you think of todayâs email?](mailto:obsession%2Bfeedback@qz.com?cc=&subject=Thoughts%20about%20randomness&body=) ð¡ [What should we obsess over next?](mailto:obsession%2Bideas@qz.com?cc=&subject=Obsess%20over%20this%20next.&body=) Todayâs email was written by [Amanda Shendruk](, edited by [Whet Moser](, and produced by [Luiz Romero](. [facebook]([twitter]([external-link]( The correct answer to the quiz is Portland, Oregon. Enjoying the Quartz Weekly Obsession? [Send this link]( to a friend! Want to advertise in the Quartz Weekly Obsession? Send us an email at ads@qz.com. Not enjoying it? No worries. [Click here]( to unsubscribe. Quartz | 675 Avenue of the Americas, 4th Fl | New York, NY 10011 | United States