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Vital Role of True Randomness in Modern Computing

The critical need for true randomness in cryptography, simulations, and more

True randomness is essential for encryption, statistical sampling, simulations, and more computing applications to work effectively. We explore why.

The concept of randomness often evokes thoughts of unpredictability and chance occurrences. However in the world of computing, having access to true randomness is vital for many critical applications to function properly. Without the ability to generate random values and data, key aspects of modern technology simply would not work reliably.

In this article, we will explore what constitutes true randomness from a computational perspective, why it is crucially important, and some of the ways that software and hardware attempt to produce randomness reliably. Gaining insight into this topic highlights the dependence much of digital functionality has on the availability of non-deterministic, uniformly distributed random data.

What Makes Randomness “True”?

For data to be considered truly random from an information theory perspective, values must satisfy key mathematical and statistical qualities, for example at Lucky Seven Casino. True randomness implies meeting three core criteria:

  • Uniform distribution — All potential values have an equal probability of occurring so that no bias exists towards certain numbers.
  • Independence — The value at any position does not relate to or depends on values at other positions. Previous numbers do not influence future ones.
  • Unpredictability — Knowing some values provides no useful information to predict other values. Guessing upcoming numbers is mathematically impossible.

Hence, true randomness requires generated data featuring high entropy (information density) with no observable patterns or correlations over any length or time period analyzed. Values must pass various statisticatests of randomness to qualify. True randomness exists only in specific natural phenomena scientists believe exhibit fundamental uncertainty such as radioactive decay. Computational methods can attempt to produce randomness but technically generate only an approximation usually called pseudo-randomness. However for many practical purposes, computationally generated randomness proves sufficient if it passes robust statistical testing.

Why True Randomness Matters Cryptography 

Arguably, the area with the most crucial dependence on true randomness is cryptography. All modern encryption technologies require random number generation to ensure security. Encryption systems work by utilizing random numbers for:

  • Key generation
  • Initialization vectors
  • Salts
  • Nonces
  • Padding

Any bias, predictability or correlation within random values used for the above purposes significantly compromises encryption protocols and introduces vulnerabilities. With trillions of dollars transferred online daily and vast amounts of sensitive data stored digitally, safeguarding cryptography requires high-quality random number generation rooted in solid entropy sources.

Simulations & Modeling 

Outside of security, many more computing applications need randomness to operate correctly per their design intent. Monte Carlo simulations extensively utilize randomness to model complex real-world behaviors by running many iterations with differing random inputs. Financial analysis, climate modeling, nuclear reactions and molecular behavior represent common Monte Carlo simulation applications.

Games, Artificial Intelligence & Machine Learning 

Gaming, AI and ML commonly incorporate randomness to increase variation, introduce unpredictability, and improve realism. For example, non-player characters in video games use randomness for movement, dialog and behavior to feel more lifelike and less robotic. AI/ML leverage randomness to train networks more thoroughly against a wider possibility space and build more resilient models less prone to biases.

Generating True Randomness via Hardware 

Given the pervasive need for genuine randomness across computing, how do software and hardware reliably produce it? Most systems today use either specialized hardware random number generators or hybrid combinations of hardware and software.

Hardware options utilize the inherent randomness within low-level physical phenomena to produce entropy. Different techniques for generating randomness exist but most hardware implementations focus on three main sources:

  1. Thermal Noise
  2. Semiconductor Quantum Physics
  3. Chaotic Oscillator Outputs
Generator TypeDescription
Thermal NoiseAmplifies and extracts random electrical noise from resistor thermal vibrations
Quantum PhysicsLeverages quantum mechanical properties like photon emission timing from LEDs/lasers
Chaotic CircuitsUses unpredictable oscillator circuit outputs from chaos theory

Semiconductor-based solutions can generate high bitrates up to 5Gbps using compact modern chip fabrication allowing extensive harvestingof entropy. However these sources derive from complex, random physical processes proving impossible to predict or fully model mathematically. This unpredictability provides excellent entropy quality unattainable via software algorithms alone.

Most general-purpose computers now integrate random number generators within CPUs allowing applications access to decent hardware-based random data. For the highest security use cases, dedicated standalone hardware random number generators exist exceeding >100Gbps speeds. Hence accessing genuine randomness is available today even on common computing devices.

Cryptographically Secure Pseudo-Random Number Generators 

While hardware mechanisms utilize hard-to-predict physical phenomena to produce randomness, software solutions must take a different approach. Algorithmically-generated randomness cannot achieve true randomness from a physics perspective. However clever mathematical techniques like cyclical algorithms can generate randomness passing many statistical tests of randomness within their output bit length limits.

Cryptographically secure pseudo-random number generators (CSPRNG) serve as the premier software-based method for generating randomness. CSPRNGs work by repeatedly applying cryptographic primitives like hash or cipher functions on initial random seed values. This process produces a chain of output bits not reproducible without the original seed key. Leading CSPRNG algorithms include:

  • Hash_DRBG
  • HMAC_DRBG
  • CTR_DRBG

Software libraries implement these CSPRNGs so developers can integrate quality randomness into applications with proper seeding. Seeding establishes the initial starting point for randomness generation using an entropy source like hardware random number generators or timing variability.

CSPRNGs allow the production of vast quantities of randomized data for any purpose needed. Compared to hardware mechanisms limited by physics on maximum speeds, algorithms scale boundlessly in the bits created as long as adequate computational power exists.

Yet key differences between software and hardware randomness remain. While CSPRNG outputs pass statistical testing and contain no observable patterns, their pseudo-randomness means given the same seed, the exact same value sequence will generate each time. Also, if a CSPRNG algorithm or implementation has flaws, adversaries could predict and exploit output resulting in compromised security. Still, with proper cryptographic design and regular reseeding, CSPRNGs provide quality randomness for most software needs.

Conclusion

From the above exploration, we see true randomness plays a pivotal role across computing – from cybersecurity to simulations and beyond. While no substitutes for true physically-derived entropy exist, modern hardware and hybrid hardware-software solutions provide abundant randomness for practical usage.

However as computing continues evolving with new technologies like quantum, ensuring high-quality randomness generation tackles emerging information security and system reliability challenges. Access to ample true randomness stands necessary now for current computing functionality and lays the foundation for future innovation.

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Features

Are Niche and Unconventional Relationships Monopolizing the Dating World?

The question assumes a battle being waged and lost. It assumes that something fringe has crept into the center and pushed everything else aside. But the dating world has never operated as a single system with uniform rules. People have always sorted themselves according to preference, circumstance, and opportunity. What has changed is the visibility of that sorting and the tools available to execute it.

Online dating generated $10.28 billion globally in 2024. By 2033, projections put that figure at $19.33 billion. A market of that size does not serve one type of person or one type of relationship. It serves demand, and demand has always been fragmented. The apps and platforms we see now simply make that fragmentation visible in ways that provoke commentary.

Relationship Preferences

Niche dating platforms now account for nearly 30 percent of the online dating market, and projections suggest they could hold 42 percent of market share by 2028. This growth reflects how people are sorting themselves into categories that fit their actual lives.

Some want a sugar relationship, others seek partners within specific religious or cultural groups, and still others look for connections based on hobbies or lifestyle choices. The old model of casting a wide net has given way to something more targeted.

A YouGov poll found 55 percent of Americans prefer complete monogamy, while 34 percent describe their ideal relationship as something other than monogamous. About 21 percent of unmarried Americans have tried consensual non-monogamy at some point. These numbers do not suggest a takeover. They suggest a population with varied preferences now has platforms that accommodate those preferences openly rather than forcing everyone into the same structure.

The Numbers Tell a Different Story

Polyamory and consensual non-monogamy receive substantial attention in media coverage and on social platforms. The actual practice rate sits between 4% and 5% of the American population. That figure has remained relatively stable even as public awareness has increased. Being aware of something and participating in it are separate behaviors.

A 2020 YouGov poll reported that 43% of millennials describe their ideal relationship as non-monogamous. Ideals and actions do not always align. People answer surveys about what sounds appealing in theory. They then make decisions based on their specific circumstances, available partners, and emotional capacity. The gap between stated preference and lived reality is substantial.

Where Young People Are Looking

Gen Z accounts for more than 50% of Hinge users. According to a 2025 survey by The Knot, over 50% of engaged couples met through dating apps. These platforms have become primary infrastructure for forming relationships. They are not replacing traditional dating; they are the context in which traditional dating now occurs.

Younger users encounter more relationship styles on these platforms because the platforms allow for it. Someone seeking a conventional monogamous partnership will still find that option readily available. The presence of other options does not eliminate this possibility. It adds to the menu.

Monopoly Implies Exclusion

The framing of the original question suggests that niche relationships might be crowding out mainstream ones. Monopoly means one entity controls a market to the exclusion of competitors. Nothing in the current data supports that characterization.

Mainstream dating apps serve millions of users seeking conventional relationships. These apps have added features to accommodate other preferences, but their core user base remains people looking for monogamous partnerships. The addition of new categories does not subtract from existing ones. Someone filtering for a specific religion or hobby does not prevent another person from using the same platform without those filters.

What Actually Changed

Two things happened. First, apps built segmentation into their business models because segmentation increases user satisfaction. People find what they want faster when they can specify their preferences. Second, social acceptance expanded for certain relationship types that previously operated in private or faced stigma.

Neither of these developments amounts to a monopoly. They amount to market differentiation and cultural acknowledgment. A person seeking a sugar arrangement and a person seeking marriage can both use apps built for their respective purposes. They are not competing for the same resources.

The Perception Problem

Media coverage tends toward novelty. A story about millions of people using apps to find conventional relationships does not generate engagement. A story about unconventional relationship types generates clicks, comments, and shares. This creates a perception gap between how often something is discussed and how often it actually occurs.

The 4% to 5% practicing polyamory receive disproportionate coverage relative to the 55% who prefer complete monogamy. The coverage is not wrong, but it creates an impression of prevalence that exceeds reality.

Where This Leaves Us

Niche relationships are not monopolizing dating. They are becoming more visible and more accommodated by platforms that benefit from serving specific needs. The majority of people seeking relationships still want conventional arrangements, and they still find them through the same channels.

The dating world is larger than it was before. It contains more explicit options. It allows people to state preferences that once required inference or luck. None of this constitutes a takeover. It constitutes an expansion. The space for one type of relationship did not shrink to make room for another. The total space grew.

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Features

Matthew Lazar doing his part to help keep Israelis safe in a time of war

Bomb shelter being put into place in Israel

By MYRON LOVE It is well known – or at least it should be – that while Israel puts a high value of protecting the lives of its citizens, the Jewish state’s Islamic enemies celebrate death.  The single most glaring difference between the opposing sides can be seen in the differing approach to building bomb shelters to protect their populations.
Whereas Hamas and Hezbollah have invested untold billions of dollars over the past 20 years in building underground tunnels to protect their fighters while leaving their “civilian” populations exposed to Israeli bombs,  not only has Israel built a highly sophisticated anti-missile system but also the leadership has invested heavily in making sure that most Israelis have access to bomb shelters – wherever they are – in war time.
While Israel’s bomb shelter program is comprehensive, there are still gaps – gaps which Dr.  Matthew Lazar is doing his bit to help reduce.
The Winnipeg born-and raised pediatrician -who is most likely best known to readers as a former mohel – is the president of Project Life Initiatives – the Canadian branch of Israel-based Operation Lifeshield whose mission is to provide bomb shelters for threatened Israeli communities. 
 
Lazar actually got in on the ground floor – so to speak.  It was a cousin of his, Rabbi Shmuel Bowman, Operation Lifeshield’s executive director, who – in 2006 – founded the organization.
“Shmuel was one of a small group of American olim and Israelis who were visiting the Galilee during the second Lebanon war in 2006 and found themselves under rocket attack – along with thousands of others – with no place to go,” recounts Lazar, who has two daughters living in Israel.  “They decided to take action. I was one of the people Shmuel approached to become an Operation Lifeshield volunteer.
Since the founding of Lifeshield, Lazar reports, over 1,000 shelters have been deployed in Israel. The number of new shelter orders since October 7, 2023 is 149.
He further notes that while the largest share of Operation Lifeshield’s funding comes from American donors, there has been good support for the organization across Canada as well.
 
One of the major donors in Winnipeg is the Christian Zionist organization, Christian Friends of Israel (FOI) Canada which, in September, as part of its second annual “Stand With Israel Support”  evening –  presented Lazar and Operation Lifeshield with a cheque for $30,000 toward construction of a bomb shelter for the Yasmin kindergarten in the Binyamina Regional Council in Northern Israel.
 
Lazar reports that to date the total number of shelters donated by Friends of Israel Gospel Ministry (globally) is over 100.
 Lazar notes that the head office for Project Life Initiatives is – not surprisingly – in Toronto.  “We communicate by telephone, text and Zoom,” he says.
He observes that – as he is still a full time pediatrician – he isn’t able to visit Israel nearly as often as he would like to. He manages to go every couple of years and always makes a point of visiting some of Operation Lifeshield’s projects.
(He adds that his wife, Nola, gets to Israel two or three times a year – not only to visit family, but also in her role as president of Mercaz Canada – the Canadian Conservative movement’s Zionist arm.)
“This is something I have been able to do to help safeguard Israelis,” Lazar says of his work for Operation Lifeshield.   “This is a wonderful thing we are doing.  I am glad to be of help. ”

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Features

Patterns of Erasure: Genocide in Nazi Europe and Canada

Gray Academy Grade 12 student Liron Fyne

By LIRON FYNE When we think of the word genocide, our minds often jump to the Holocaust, the mass-scale, systemic government-led murder of six million Jews by Nazi Germany during the Second World War, whose unprecedented scale and methods led to the very term ‘genocide’ being coined. On January 27th, 2026, we will bow our heads for International Holocaust Remembrance Day, the 80th year of remembrance.

Less frequently do we connect genocidal intent to the campaign against Indigenous peoples in Canada; the forced displacement, cultural destruction, and systematic killing that sought to erase Indigenous peoples. The genocide conducted by the Nazis and the genocidal intent of the Canadian government, though each unique in scale, motive, and implementation, share many conceptual similarities. Both were driven by ideologies of racial superiority, executed through governmental precision, and justified by the perpetrators as a moral mission.

At their core rests the concept of dehumanization. In Nazi Germany, Jews were viewed as subhuman, contaminated, and a threat to the ‘Aryan’ race. In Canada, Indigenous peoples were represented as obstacles to ‘progress’ and seen as hurdles to a Christian, Eurocentric nation. These ideas, this dehumanization, turned human beings into problems to be solved. Adolf Hitler called it the ‘Jewish question,’ leading to an official policy in 1942 called the ‘Final Solution to the Jewish Question,’ whereas Canadian officials called it the ‘Indian problem.’ The language is similar, a belief that one group’s existence endangers the destiny of another. The methods of extermination differed in practice and outcome, but the language of intent resembles one another.

The Holocaust’s concentration camps and carefully engineered gas chambers were designed for efficient, industrial-scale killing, resulting in mass murder. The well-organized plan of systematic degradation, deadly riots, brutal camp conditions, and designated killing centres were only a few of the ways the Nazis worked to eliminate the Jews. The Canadian government’s weapons were policy, assimilation and abandonment. Such as the Indian Act, reserves, and residential schools, which were all meant to ‘kill the Indian in the child,’ cutting generations off from their languages, families, and cultures. Thousands of Indigenous children died in residential schools, buried in unmarked graves near schools that called themselves places of learning. Both systems were backed by either religion or ideology; Nazi ideology brought together racist eugenic policies and virulent antisemitism, while Canada’s genocidal intent was supported by Christian Protestantism claiming to save Indigenous souls by erasing their heritage.

The Holocaust was a six-year campaign of complete industrialized extermination, mass murder with a mechanized intent, on a scale that remains historically unique. The Truth and Reconciliation Commission describes Canada’s indigenous genocide as a cultural one that unfolded over centuries through assimilation and the destruction of indigenous languages and identities. The Holocaust ended with the liberation of the camps and a global recognition of the atrocities committed. However, the generational trauma and dehumanization of antisemitism carry on. For Indigenous peoples in Canada, the effects of the genocidal intent continue to this day, visible in displacement, poverty, and intergenerational trauma. While these histories differ in form and timeline, both are rooted in dehumanization and the belief that some lives are worth less than others.

A disturbing similarity lies in the aftermath: silence and denial. The Holocaust forced the world to confront the atrocity with the vow of ‘Never Again,’ which has now been unearthed and reformed as ‘Never Again is Now,’ after the October 7th, 2023, massacre by Hamas. The largest massacre of Jewish people since the Holocaust, and the denial of the atrocities committed on October 7th, highlight the same Holocaust denial we see rising around the world. In Canada, for decades, the genocidal intent was hidden behind narratives of kindness and social progress. Only in recent years, through survivor testimony for the Truth and Reconciliation Commission, and the discovery of unmarked graves, has the truth gained recognition. But acknowledgment without justice risks repeating the same patterns of erasure.

Comparing these atrocities committed is not about comparing pain or scale; it is about understanding the shared systems that enabled them. Both demonstrate how racism, superiority, and dehumanization can be used to justify the destruction of human beings. Remembering is not enough in Canada. True remembrance demands accountability, land restitution, reparations, and education that confronts Canada’s ongoing colonial legacy. When we say ‘Never Again is Now’, we hold collective action to combat antisemitism in all forms. The same applies to Truth & Reconciliation; it must be more than a slogan; we must apply action to Truth & ReconciliACTION.

Liron Fyne is a 12th-grade student at Gray Academy of Jewish Education in Winnipeg. They are currently a Kenneth Leventhal High School Intern at StandWithUs Canada, a non-profit education organization that combats antisemitism.

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