FigMENt is a brand new release from Tom Mullenger aka Jester Styles and Saturn Magic.
FigMent: "a thing that someone believes to be real but that exists only in their imagination."
A magical friend is introduced to a spectator and is fully examined. A card is selected and memorized, never being shown to the performer. To the shock of the spectator the magical friend that they have been holding now reveals their chosen card in a most unusual way!
...Or does it. Did that really just happen, or was it all a FigMENt of their imagination?
- Easy to perform
- Self working version included
- Single person version instantly repeatable
- Two FigMENt reveals
- Designed for any audience
Three Routines included which are taught in depth:Deep Cut.
A devastatingly powerful yet simple, hands off routine where the spectator does all the work before experiencing the magic happening in their hands - so easy to do it's like child's play.Switch Blade.
Strike twice with this routine! Tom's walk-around FigMENt routine that involves two spectators for double the impact!Ripper.
This routine will allow your spectators to not only experience the power of FigMENt but will leave them with a souvenir.
"Tom has taken the classic 'omni' effect; spun it on it's head, kept the phenomenal impact, breathed new life into the concept and given it a whole bunch of personality. This is the effect in your set people will talk about - it's remarkable."- Dee Christopher - from BBC's "Killer Magic""FigMent is a working piece of magic - the audience connect with him and realize they are about to have some fun. The transformation is beyond belief and when it happens a second time you really hit them between the eyes! This is simple, direct and above all very easy to do and a new take on the omni plot."- Mark Traversoni
- Live & studio performances included.
- 2 FigMENt's are supplied - 1 red & 1 black suit and random mini-figure character so you can start performing with your normal deck right away.
This product was added to our catalog on Friday 19 February, 2016.