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An approachable and distributable lang for systems / algorithms

As you remove code's language and context specific formalities it becomes a ⧉pattern. A creatively condensed, and accessible vessel for process logic:

// attendance incentive system

sessions = #
streak = #

  streak = Min(0, streak - 1)
  if (streak < 0) 
    then sessions--

  streak = Max(1, streak + 1)
  if (streak is not divisible by 4) 
    then sessions--

AI language models like OpenAI Codex can both convert to and from this format effortlessly. Inadvertently making it the most powerful way to open source pieces of code across languages and toolsets.

Best practice conventions seem very flexible in my experience though there's plenty of room for experimentation and iteration.



By giving our third party issues a non zero chance in the sun, we temper their engagement and account for them more readily. That way issues won't fester until they boil over and swing out the other direction.

working model

// a system for determining the outcome of an election
// resulting in an normal distribution of outcomes
// that better maps onto the voting populace

cutoff = 0.5 / # of options

option.chance = option.votes / total votes
option.chance = max(option.chance - cutoff, 0)
option.chance /= total chances

roll = random(0.0-1.0)
foreach option in options
  if roll < option.chance
    then return option as winner
    roll -= option.chance


real world application

Running open "pre primaries" using less divisive voting systems like this while leveraging tech to minimize the overhead. Can safely prove out these policies and better support aligned candidates