On the log\-odds line, a 1 in 100 credibility is −2 orders of magnitude, and a "1 in a million" credibility is −6 orders of magnitude\. The distance between them is minus 4 orders of magnitude, that is, log_10(10−6)−log_10(10−2) yields −4 magnitudes, or roughly −13.3 bits\. On the other hand, 11% to 10% is log_10(frac0.100.90)−log_10(frac0.110.89)approx−0.954−−0.907approx−0.046 magnitudes, or −0.153 bits\.
One of these does log( prob/ 1 - prob) the other does log( prob) …
I get your point about orders of magnitude difference, but for me this ends up more confusing then anything.