The League of Entropy Is Making Randomness Truly Random
Creating reliably random numbers isn’t as easy as you think, but a new alliance of organizations and individuals is decentralizing randomness for more equitable and trustworthy applications
In August 2017, Eddie Tipton was convicted for masterminding one of the biggest lottery scams in the U.S. As the Multi-State Lottery Association’s former information security director, Tipton had access to the software generating random numbers for the lottery. He inserted extra lines of code so when certain conditions were met, the algorithm would follow a different path, producing a smaller, more predictable set of winning lottery numbers. Tipton rigged six winning drawings across five different U.S. states amounting to a total of more than $24 million in prize money.
From lotteries and elections to cryptography and quantum mechanics, randomness plays a critical role in ensuring fairness — but only if the source of randomness can be trusted at all times. This may not always be the case for a single source, which could have its own bias or could be influenced by outside forces, as seen in Tipton’s lottery rigging. And this is where decentralization comes in, providing distributed sources of unbiased…
