By the end you’ll have played with chance, dragged a system into place, and found the same maths waiting in a river.
three pieces of maths.
none of them sit still.
KnowledgeSeeing Theory: Probability, VisuallyBrown University · Explore · 8 minStart with chance itself — coins, dice, distributions. Every idea here is something you poke, not something you’re told.Mental ModelsMarkov Chains, VisuallySetosa · Explore · 7 minNow a thing that sounds terrifying and isn’t. Drag the states around and watch a system decide where to go next.NatureWhy Are Rivers So Mathematical?Quanta Magazine · Read · 14 minAnd the turn: none of that lived on a screen. Here’s the same maths written into the bend of every river on Earth.
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Piece 1 of 3
Knowledge
Seeing Theory: Probability, Visually
Start with chance itself — coins, dice, distributions. Every idea here is something you poke, not something you’re told.
Brown UniversityExplore8 min
the full experience is on their site
next: a scary word —
markov chains —
made draggable.
Piece 2 of 3
Mental Models
Markov Chains, Visually
Now a thing that sounds terrifying and isn’t. Drag the states around and watch a system decide where to go next.
SetosaExplore7 min
the full experience is on their site
last one leaves the screen:
the maths was in
the river all along.
Piece 3 of 3
Nature
Why Are Rivers So Mathematical?
And the turn: none of that lived on a screen. Here’s the same maths written into the bend of every river on Earth.