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  "body": "\n## Summary\n\nThe Kendall rank correlation coefficient $\\tau$ measures the agreement between the orderings of two variables.\nIt compares every pair of observations.\nIt counts the pairs ordered the same way by both variables, minus the pairs ordered in opposite ways, and divides by the number of pairs.\nIt lies between $-1$ and $1$ and depends only on the ranks of the data, like [[Spearman's coefficient|DJFYTQJ3SH]].\n\n## Explanations\n\n### L1 human\n\nTake two judges who rank the same contestants.\nFor each pair of contestants, check whether the two judges put them in the same order.\nKendall's $\\tau$ is the share of pairs on which they agree minus the share on which they disagree.\nIf they agree on every pair, $\\tau = 1$; if they disagree on every pair, $\\tau = -1$.\nWith three contestants ranked $1, 2, 3$ and $1, 3, 2$, the judges agree on two of three pairs, so $\\tau = 2/3 - 1/3 = 1/3$.\n",
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