To explain further in the context of WebRTC, traffic analysis of the encrypted data could determine the pace and duration patterns of speech between multiple speakers. This could:
(a) narrow down or uniquely identify each party
(b) provide information on the mood of each party (are they interrupting other speakers more often than usual?)
(c) guess the nature of the call (information dump from one person to another, one person quizzing another person, ...)
(d) determine the languages used in the conversation
(e) guess demographic information from the conversation including approximate level of education/intellect, age, male/female, ...
(f) narrow down the physical location of speakers who are attempting to mask their identity through intermediate nodes
(a) narrow down or uniquely identify each party
(b) provide information on the mood of each party (are they interrupting other speakers more often than usual?)
(c) guess the nature of the call (information dump from one person to another, one person quizzing another person, ...)
(d) determine the languages used in the conversation
(e) guess demographic information from the conversation including approximate level of education/intellect, age, male/female, ...
(f) narrow down the physical location of speakers who are attempting to mask their identity through intermediate nodes