“12-dimensional chess”
Statistical Modeling, Causal Inference, and Social Science 2026-03-29
In this amusing post, “Twelve Dimensional Chess is Stupid,” Steven Pav writes:
I cringe when I hear the term “Twelve Dimensional Chess” used as a metaphor. Certainly Twelve Dimensional Chess would be hard to visualize, and would present far more possible moves than regular two dimensional chess. However, high dimensional Chess suffers from a Curse of Dimensionality as the number of squares grows so quickly that play becomes uninteresting. In fact, I suspect that strategies exist which effectively guarantee a draw in sufficiently high dimensions. . . .
I [Pav] do not know the rules of high dimensional Chess, and I have assumed the players start with eight pieces and eight pawns. Maybe the number of pawns is linear, or even exponential in the dimension. Even so, it will take over 300 moves to promote the 64 pawns to Queens. Moreover, assuming one’s opponent could muster such an army without any losses, assembling such a large number of Queens in place to achieve checkmate might be tricky. Each Queen attacks at most 1.86 million squares. Again, this would be hard to visualize during play, but there are 2.2 billion internal squares (i.e. those not touching a boundary), and some 68.7 billion in total. Which means that even if your opponent has dozens of Queens on the board, each Queen can attack only a small fraction of the available squares. You could move your King largely at random without coming under attack.
So “Twelve Dimensional Chess” as a metaphor for a situation requiring great foresight or strategy in the face of many possible decision is flawed. Instead, it is a more apt metaphor for a very lonely random walk punctuated by infrequent interactions with others you can easily dodge.
In high-dimensional space, no one can hear you scream.