Mendaci (Minion) By Ellie (silverrzz)
Fear and doubt will tear them apart.
Overview
The Mendaci can be precise in their attacks, choosing only the most threatening of targets. But its weakness strikes when its ability to identify which of those threats are real fails.
If the Mendaci chooses a character that is not in play, it may poison an evil player, which can greatly hinder a winning evil team.
If the Mendaci chooses a character that is not in play, it may poison an evil player, which can greatly hinder a winning evil team.
Examples
The Mendaci chooses `Fortune Teller`. Amy, who has stayed completely silent about being the Fortune Teller, is poisoned tonight.
The Mendaci chooses `Village Idiot`. One of the 3 in-play Village Idiots is poisoned.
The Mendaci chooses `Knight`. Knight is not in-play, the Harpy is poisoned tonight.
The Mendaci chooses `Village Idiot`. One of the 3 in-play Village Idiots is poisoned.
The Mendaci chooses `Knight`. Knight is not in-play, the Harpy is poisoned tonight.
How To Run
Wake the Mendaci and let them point to their character sheet, if they wish, to choose which character they wish to poison.
If the Mendaci chooses a not-in-play character poison an evil player, this player should probably be the Mendaci themself most of the time unless a punishment wouldn`t be too detrimental to the evil team. Poisoning a cerenovus or other Minion is a good choice, and the Demon can also be a good choice under specific circumstances.
If the Mendaci chooses a not-in-play character poison an evil player, this player should probably be the Mendaci themself most of the time unless a punishment wouldn`t be too detrimental to the evil team. Poisoning a cerenovus or other Minion is a good choice, and the Demon can also be a good choice under specific circumstances.
Tip
When playing as the Mendaci, try to optimise your choices by selecting `start knowing` characters on the first night, other conditional characters, such as the Juggler, on the second night. And reoccurring information characters whenever you find most optimal.