
Frank Bannister is a man who goes around town claiming that he can talk with and see ghosts, though while he can, some believe (though he is, in fact) a common con-man who gets ghosts to make it appear though there is a haunting in whichever house is chosen, wherein he sweeps into action and pretends to remove the ghosts. All this goes on until one day strange deaths start occurring all throughout town and Frank ponders this, while his love interest, Lucy Lynskey, whose husband had only just died of the same cause, goes to the house of a deranged old woman who keeps her grown-up daughter locked up, saying that it is for the good of everyone else. Soon, it is revealed that even the ghosts themselves can see the force that is killing everyone off; a deceased mass murderer come back from Hell itself to continue killing. It is therefore up to Frank, Lucy, as well as two ghosts, to find out how to end the fiendish ghost from killing any more, while all the while trying to shake off a deranged detective from arresting them both.
Elizabeth HawthorneMagda Rees-Jones
Chi McBrideCyrus
R. Lee ErmeySgt. Hiles
Troy EvansSheriff Walt Perry
Jeffrey CombsMilton DammersMichael J. Fox repeatedly blew his lines by calling John Astin's character "Doc" - the name of Christopher Lloyd's character in the Back to the Future (1985) movies.
Judge:
When a man's jawbone drops off it's time to reassess the situation.
Continuity: When Lucy is freezing Frank down, the dial she turns is color-coded light blue to dark blue (cold to colder). Moments later, when Dammers turns up, the dial is on a previously non-existent red setting.
Written by Donald Roeser
Performed by The Mutton Birds
Courtesy of Virgin Records Australasia
Dragonheart: A New Beginning
Rupan sansei: HonĂ´ no kioku Tokyo Crisis
Aika
Addams Family Values
Super Mario Bros.With more than a million titles, it isn't feasible to handpick recommendations for every film. That's why we came up with a formula to suggest titles that fit along with the selected one. The formula uses factors such as user votes, genre and keywords to generate an automatic response. The system produces relevant results most of the time but since recommended titles are not manually chosen, occasionally they may include less than perfect matches.