Movielogr

movie poster

Rating: 4 stars

Tags

VHS

Seen 1 time

Seen on: 01/15/2012

  • Watched on: TV
  • Format: VHS

Related Events

View on: IMDb | TMDb

Appointment with Fear (1985)

Directed by Alan Smithee, Ramsey Thomas

Horror

Most recently watched by BTSjunkie

Overview

Moustapha Akkad, the man who brought you HALLOWEEN, invites you to keep an APPOINTMENT WITH FEAR. According to legend, Attis, King of the Woods, sacrificed his child to keep his own spirit alive and free to wander the earth at will. APPOINTMENT WITH FEAR casts this evil in contemporary terms: can a group of free-spirited teenagers and an inquisitive detective save a dying woman’s infant from being Attis’ next victim? The suspense is unrelenting as they - and you - keep an APPOINTMENT WITH FEAR.

Length 96 minutes

Actors

Danny Dayton | Michele Little | Hugo Stanger | James Avery | Anson Downes | Douglas Rowe | Kerry Remsen | Michael Wyle | Mike Gomez | Brioni Farrell | Charlotte Speer | Pamela Bach | Garrick Dowhen | Vincent Barbour | Deborah Voorhees | Sergia Simone | Gertrude Clement | Kathi Gibbs | Nell Alano | Erica Jordan | Ilanga | Pamela Morrow | Matthew Schultz | Peter Griffin | Mark Royston | Nick Conti | Mark Lawrence | Nela P. Fry | Rebekah Rae Gormish | James Ho

Viewing Notes

VHSisthetruth and I are going to watch the movies from the 2011 top 10 lists from Bleed Skull over the course of 2012. These are the lists:

http://bleedingskull.com/features/exquisites11.html

http://bleedingskull.com/features/dan11.html

So we started with this piece of cinematic ass-fuckery… The movie involves a man who is a Egyptian tree king who must kill his wife and baby in order to maintain his station. Problem is he’s in a mental institution. Fortunately he’s able to exist outside his body.

Or something.

Each scene is more ridiculous and incomprehensible than the one before it. There’s a friendly bum that lives in the bed of a girl’s pickup truck, a stolen baby nobody things to hand over to the police, Uncle Phil from Fresh Prince, a completely random New Wave dance number, and so much more. It’s impossible to describe but very easy to recommend.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0016
Controller Execution Time ( Members / Movie Detail )  0.0385
Total Execution Time  0.0402
  GET DATA  
No GET data exists
  MEMORY USAGE  
533,872 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/BTSjunkie/movie_detail/5330
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0165 seconds)  (Hide)
0.0004  
SELECT 1
FROM `ml_sessions`
WHERE `id` = '5724ea5de057b05e2ca3814ee257f78b633dd5b5'
AND `ip_address` = '216.73.216.6' ?>
0.0100  
SELECT GET_LOCK('cd465a18e341b1014553aeccaf681a49', 300) AS ci_session_lock ?>
0.0003  
SELECT `data`
FROM `ml_sessions`
WHERE `id` = '5724ea5de057b05e2ca3814ee257f78b633dd5b5'
AND `ip_address` = '216.73.216.6' ?>
0.0004  
SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'BTSjunkie'
 LIMIT 1 ?>
0.0003  
SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 5330
AND `MV`.`user_id` = 48
 LIMIT 1 ?>
0.0004  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 48
 LIMIT 1 ?>
0.0002  
SET SESSION group_concat_max_len = 12288 ?>
0.0023  
SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_name` AS `genre_name_01`, `G2`.`genre_name` AS `genre_name_02`, `G3`.`genre_name` AS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directors, GROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_ids, GROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actors, GROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MV` ON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MP` ON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1` ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2` ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3` ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMT` ON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRC` ON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVC` ON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_five_star` `STR` ON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMD` ON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DR` ON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMA` ON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACT` ON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 5330
AND `MV`.`user_id` = 48
ORDER BY `date_viewed` DESC ?>
0.0001  
SET SESSION group_concat_max_len = 1024 ?>
0.0002  
SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EV` ON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 5330 ?>
0.0006  
SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MT` ON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 5330 ?>
0.0002  
SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 48
 LIMIT 1 ?>
0.0002  
SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 48
AND `MV`.`movie_id` = 5330
 LIMIT 1 ?>
0.0001  
SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '18'
 LIMIT 1 ?>
0.0003  
SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2` ON `MV`.`title_id` = `MV2`.`title_id` AND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 48
AND `MV`.`movie_id` = 5330
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC ?>
0.0002  
SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MU` ON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 5330 ?>
0.0002  
SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MV` ON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MT` ON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 3597
ORDER BY `date_viewed` DESC
 LIMIT 10 ?>
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)