It’s possible to do such modelling with beta-distributions (actually similar to meta-probabilities).
Combination of B(1;1) (something like non-informative prior) and B(a;b) (information obtained from friend) will be B(1+a;1+b) - moved from equal probabilities far more than combination B(1000;1000)⋅B(a;b)=B(1000+a;1000+b).
It’s possible to do such modelling with beta-distributions (actually similar to meta-probabilities).
Combination of B(1;1) (something like non-informative prior) and B(a;b) (information obtained from friend) will be B(1+a;1+b) - moved from equal probabilities far more than combination B(1000;1000)⋅B(a;b)=B(1000+a;1000+b).