A Galton board is a device with rows of nails arranged in a staggered pattern. When balls are dropped from the top, they bounce left or right and eventually form a bell curve at the bottom. This physical model was used by Francis Galton in the 19th century to illustrate principles of heredity. Today, similar ideas of randomness are found in digital systems. Online platforms use algorithms to simulate the unpredictable behavior of the Galton board. When a user on Spotify starts a random play, or a video game opens a loot box, or an online casino deals virtual cards, an algorithm decides the outcome. The challenge is to determine whether the numbers produced by these algorithms are truly random. To assess randomness, mathematicians use statistical tests. In regulated markets, especially where real money is involved, these tests become mandatory. Standards, laboratories, and provincial regulators in Canada ensure that randomness is not just perceived but also verified. Most software relies on pseudo-random number generators, which use a formula and an initial seed to produce a sequence that appears random. The Mersenne Twister, a widely used generator in Python, is known for its long sequence of numbers before repeating, but it is not suitable for cryptographic purposes. Algorithms like these are deterministic, meaning the same seed will always produce the same sequence. Spotify’s random play function was initially purely random, but users reported that some songs or artists repeated more often than others. Engineers addressed this by introducing a system called "Fewer Repeats," which penalizes recently played tracks in the random selection process. This approach filters randomness based on user perception, ensuring a more varied listening experience. However, for gambling and online games, the rules are stricter. The Apple App Store and Google Play require that the probabilities of obtaining items in loot boxes be disclosed to users. For gambling applications, independent testing laboratories must verify the randomness of the systems. The GLI-19 standard from Gaming Laboratories International outlines detailed procedures for testing the source code of these systems and ensuring they meet strict statistical and security criteria. In Canada, the control of randomness varies by province. In Ontario, the provincial regulator, CAJO, sets standards requiring that online games and random number generators be certified before they can operate. In Quebec, Loto-Québec replaced its physical lottery bowls with a computer-generated system, certified by independent firms. For players in Canada, the choice of a site to gamble on depends on the license it holds and the standards it meets. Some sites are licensed by provinces like Malta or Curaçao, while others operate under the Kahnawake Gaming Commission. The certification process ensures fairness but does not guarantee wins. The margin of a gambling game is predetermined, and the rules must clearly state the odds of winning and the house advantage. If players feel they are spending too much time on gambling, help is available through confidential hotlines in both Quebec and Ontario.