The probability that the accused is guilty after all evidence has been considered is known as?

The probability that the accused is guilty after all evidence has been considered is termed posterior probability. This concept is rooted in Bayesian statistics, where prior beliefs or probabilities are updated in light of new evidence.

In the context of a legal case, prior probability reflects the initial assessment of guilt based on existing knowledge before any evidence is introduced. When new evidence is added, it helps refine this initial assessment, leading to a revised understanding of the probability of guilt, which is now the posterior probability. This adjusted probability provides a more accurate picture of the likelihood of guilt based on all available information.

The other terms do not accurately describe this concept. Evidence thresholds would refer to the minimum amount of evidence required for a particular conclusion or legal action, and defense probabilities would pertain to the probability of a defendant's innocence rather than their guilt directly. Prior probability, although related, does not reflect the updated assessment after evidence is considered, which is why it is not the correct term in this scenario.