Movielogr

Home

movie poster

Rating: 3.5 stars

Tags

DVD

Seen 1 time

Seen on: 06/11/2011

Related Events

View on: IMDb | TMDb

Scavenger Hunt (1979)

Directed by Michael Schultz

Comedy

Most recently watched by noahphex, jenerator

Overview

An eccentric games inventor dies and leaves behind an inheritance worth hundreds of millions of dollars - which will only be given to the person or team, amongst his family and hired help, who wins a madcap scavenger hunt.

Rated PG | Length 116 minutes

Actors

Arnold Schwarzenegger | Vincent Price | Ruth Gordon | Robert Morley | Scatman Crothers | Meat Loaf | Roddy McDowall | Cloris Leachman | Stephanie Faracy | Hal Landon Jr. | Richard Masur | Richard Benjamin | Willie Aames | Tony Randall | James Coco | Pat McCormick | Stuart Pankin | Stephen Furst | Liz Torres | Maureen Teefy | Dirk Benedict | Richard Mulligan | Cleavon Little | Avery Schreiber | Carol Wayne | Henry Polic II | Bobby Rolofson | Dale Kalberg

Viewing Notes

BTSNAT is our now bi-annual film festival where we watch a series of unknown until shown picks and then a final Brian Trenchard-Smith movie. It was started when some people didn’t get into the famous BNAT film fest and also so that we could program movies that we felt were more up our group of friend’s alley.

As part of our summer version of BTSNAT (version 2.5!) I kicked it off again, but this time with a comedy from director Michael Schultz. He’s well known for comedies as he made Car Wash, Krush Groove, The Last Dragon, & Disorderlies. This plot-thin movie has a huge ensemble cast of 70s famous comedy people: Ruth Gordon, Cloris Leachman, James Coco, Richard Mulligan, Cleavon Little and then guest appearances by Meat Loaf and Arnold Schwartzeneggar.

A famous game maker, Milton Parker (Vincent Price!) dies and deicdes that his $200 million estate will be left to whomever can win a scavenger hunt. That’s it! From there its a 2 hour series of insanity and discovery of people trying to learn to work together.

I had seen this movie when I was younger many times on cable and always had a blast with it. There’s a lot of goofy moments that are still fun to watch and the cast is solid and clearly having a great time with it. Plus, the idea of the scavenger hunt is just fun for me and I even remember winning one for a friend’s birthday back in the day.

Other than the 2 hour runtime I believe it went over fairly with the crowd and I feel a nice, light comedy was a good way to kick off the festival.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0267
Total Execution Time  0.0281
  GET DATA  
No GET data exists
  MEMORY USAGE  
540,048 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/noahphex/movie_detail/4769
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0069 seconds)  (Hide)
0.0003   SELECT 1
FROM `ml_sessions`
WHERE `id` = '712a989892598dd5d8663258b8b072f4d3e2bbaa'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('8746df7f2341839e3aa085f2e1afac19', 300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '712a989892598dd5d8663258b8b072f4d3e2bbaa'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'noahphex'
 LIMIT 1 
0.0004   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` = 4769
AND `MV`.`user_id` = 8
 LIMIT 1 
0.0004   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len = 12288 
0.0021   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` = 4769
AND `MV`.`user_id` = 8
ORDER BY `date_viewed` DESC 
0.0003   SET SESSION group_concat_max_len = 1024 
0.0004   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` = 4769 
0.0003   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` = 4769 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 8
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 8
AND `MV`.`movie_id` = 4769
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_five_star` `MR`
WHERE `MR`.`rating_id` = '16'
 LIMIT 1 
0.0005   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` = 8
AND `MV`.`movie_id` = 4769
GROUP BY `MV2`.`movie_id`
ORDER BY `MV2`.`date_viewed` DESC 
0.0003   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` = 4769 
0.0004   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` = 3182
ORDER BY `date_viewed` DESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)