Table 2.

Table reproduced from Jeffreys (1936a, p. 352)

$n.$	$b/{\sigma }_b.$	$n.$	$b/{\sigma }_b.$	$n.$	$b/{\sigma }_b.$
$5$	$1.07$	$200$	$2.20$	$10,000$	$2.96$
$10$	$1.36$	$500$	$2.40$	$20,000$	$3.07$
$20$	$1.59$	$1000$	$2.54$	$50,000$	$3.22$
$50$	$1.86$	$2000$	$2.67$	$100,000$	$3.33$
$100$	$2.04$	$5000$	$2.84$

Here $b/{\sigma }_b$ indicates the ratio of a least squares point estimate b to its standard error ${\sigma }_b$ that results in a Bayes factor of 1. This critical ratio increases with n