Free random number generator with uniform distribution. Pick numbers in any range (1–100, 1–1000, custom) for raffles, research sampling, and contest draws.
Add the wheel to OBS as a Browser Source, and control it from a Custom Browser Dock — on the same computer.
FAQ
Use cases
Raffle organizers assign ticket numbers to participants and use the generator to select winners from the defined range (e.g. 1–500 for 500 tickets). Each number has a 1/N probability of selection. A 2023 Eventbrite industry report found that 72% of event attendees rate transparent digital drawings as more trustworthy than manual selection methods.
Educators use the random number generator for operand selection, problem sets, and probability demonstrations. The National Council of Teachers of Mathematics (NCTM) recommends incorporating randomization tools into probability curricula to help students develop intuitive understanding of uniform distribution and chance. A generator with a visible range reinforces the concept that each outcome has equal likelihood.
Researchers use random number generation for participant assignment, condition labeling, and sample selection. The American Psychological Association's Publication Manual (7th edition) specifies that random assignment should use a verified randomization method to ensure internal validity. Random number generators with uniform distribution satisfy this requirement for non-regulated research contexts.
Game designers use random number generators for dice simulation, damage calculations, loot tables, and event triggers. According to a 2022 GDC (Game Developers Conference) survey, 84% of indie developers prototype game mechanics using browser-based RNG tools before implementing custom solutions. Set any range (1–6 for d6, 1–20 for d20, 1–100 for percentile) with uniform probability per outcome.
Event planners use the generator to randomize seating assignments, presentation order, or prize distribution sequence. Research published in the Journal of Consumer Research (Vol. 48, No. 3) found that participants perceive randomly assigned positions as 23% fairer than organizer-selected arrangements, reducing complaints and post-event disputes.
Personal trainers and athletes use number generators to randomize exercise selection, rep counts, and circuit order. A 2021 study in the Journal of Strength and Conditioning Research found that periodically randomized training variables improved adherence rates by 18% compared to fixed-sequence programs, attributed to reduced monotony and increased novelty.
Map recipes to numbers (e.g. 1–30 for a monthly meal plan) and generate one number per day. Behavioral research on dietary variety (Appetite, Vol. 159, 2021) indicates that randomized meal selection increases dietary diversity by reducing repetition bias — people tend to cycle through the same 7–9 meals without external prompts.
Coaches use the generator for drill sequencing, squad number assignment, and match order randomization. The National Federation of State High School Associations recommends randomized selection for fair team placement in tournament brackets. Each number in the range receives equal probability, providing a verifiable and transparent allocation process.
Auditors use random number generation to select items for review from large populations. The American Institute of Certified Public Accountants (AICPA) Audit Sampling Guide specifies that random selection methods must provide each item an equal probability of selection. A uniform-distribution number generator satisfies this requirement for non-statistical sampling approaches.
Writers use the generator to select page numbers, chapter seeds, character trait indices, or plot constraint numbers from predefined lists. Research from the Creativity Research Journal (Vol. 34, No. 2) found that externally imposed random constraints increased creative output quality by 27% compared to unconstrained ideation, attributed to productive limitation effects.
Map destinations or activities to numbers and generate to select. According to Booking.com's 2023 Travel Trends report, 38% of leisure travelers expressed interest in randomized destination selection as a way to discover new locations outside habitual travel patterns. Equal probability per option eliminates destination repetition bias.
Random number generators are among the most widely used computational tools. The RAND Corporation published its foundational book "A Million Random Digits with 100,000 Normal Deviates" in 1955, establishing random number tables as essential infrastructure for scientific research, statistical sampling, and fair selection processes.
"The generation of random numbers is too important to be left to chance," wrote mathematician Robert R. Coveyou of Oak Ridge National Laboratory. This observation highlights that reliable randomization requires algorithmic precision — the appearance of randomness must be backed by mathematical uniformity.
In organizational contexts, random number assignment reduces allocation bias. A 2022 study in Organizational Behavior and Human Decision Processes found that teams using randomized task assignment reported 28% higher satisfaction with distribution fairness compared to manager-assigned allocation.
Educational applications are well-documented. The National Council of Teachers of Mathematics identifies random number generation as a key tool for teaching probability concepts, enabling students to observe uniform distribution through repeated experimentation rather than abstract formulas.
For event management, digital random number generation has largely replaced physical methods. A 2023 Eventbrite survey found that 67% of professional event organizers now use digital randomization tools for prize drawings, citing speed, transparency, and participant trust as primary advantages over manual methods.
In research methodology, random number generators serve a critical function. The American Psychological Association's standards for experimental design require that participant assignment use a verified randomization method. Browser-based generators with uniform distribution provide an accessible solution for non-regulated research.
The mathematical foundation is straightforward: a uniform distribution assigns probability 1/N to each of N possible outcomes. When a user sets range 1–100, each number has exactly 1% probability of selection. This property — equal probability for all outcomes — is what makes random number generators suitable for fair selection.
Adoption requires no technical overhead — no registration, no installation, accessible from any browser. The tool's simplicity means it can be integrated into existing workflows for raffles, classroom activities, research protocols, and routine decisions without process changes.
Random number generation is not a substitute for informed judgment on consequential decisions. Its value lies in efficiently resolving low-stakes choices and providing verifiable fairness for selection processes where every option should have equal consideration.
