I feel in all these contexts odds are better than log-odds.
Log-odds simplifies Bayesian calculations: so does odds. (The addition becomes multiplication)
Every number is meaningful: every positive number is meaningful and the numbers are clearer. I can tell you intuitively what 4:1 or 1:4 means. I can’t tell you what −2.4 means quickly, especially if I have to keep specifying a base.
Certainty is infinite: same is true for odds
Negation is the complement and 0 is neutral: Inverse is the complement and 1 is neutral. 1:1 means “I don’t know” and 1:x is the inverse of x:1. Both ot these are intuitive to me.
I feel in all these contexts odds are better than log-odds.
Log-odds simplifies Bayesian calculations: so does odds. (The addition becomes multiplication)
Every number is meaningful: every positive number is meaningful and the numbers are clearer. I can tell you intuitively what 4:1 or 1:4 means. I can’t tell you what −2.4 means quickly, especially if I have to keep specifying a base.
Certainty is infinite: same is true for odds
Negation is the complement and 0 is neutral: Inverse is the complement and 1 is neutral. 1:1 means “I don’t know” and 1:x is the inverse of x:1. Both ot these are intuitive to me.