Movielogr

movie poster

Rating: 8 stars

Tags

amc flatiron crossing 14

Seen 1 time

Seen on: 10/07/2012

View on: IMDb | TMDb

The Master (2012)

Directed by Paul Thomas Anderson

Drama

Most recently watched by sensoria, sleestakk, Javitron

Overview

Freddie, a volatile, heavy-drinking veteran who suffers from post-traumatic stress disorder, finds some semblance of a family when he stumbles onto the ship of Lancaster Dodd, the charismatic leader of a new “religion” he forms after World War II.

Rated R | Length 137 minutes

Actors

Philip Seymour Hoffman | Melora Walters | Laura Dern | W. Earl Brown | Amy Adams | Rami Malek | Kevin J. O'Connor | Price Carson | David Warshofsky | Christopher Evan Welch | Eban Schletter | Barlow Jacobs | Joaquin Phoenix | Ambyr Childers | Lena Endre | Joshua Close | Jesse Plemons | Jill Andre | Patty McCormack | Katie Boland | Kimberly Ables Jindra | Barbara Brownell | Mimi Cozzens | Fiona Dourif | Madisen Beaty | Amy Ferguson | Napoleon Ryan | Bill Blair | Brady Rubin | Jennifer Neala Page | Mike Howard | Bruce Goodchild | Frank Bettag | Jillian Bell | Kevin J. Walsh | Sarah Klaren | Baily Hopkins | Theo Crisell | Martin Dew | Ally Johnson | Scott Rodgers | Charley Morgan | AnnaCorey | Brigitte Hagerman | Jeffrey W. Jenkins | Zan Overall | Tom Knickerbocker | Mari Kearney | Liz Clare | Brian Fong | Ariel Felix | Audrey Finer | Andrew Koponen | Brittany Kilcoyne McGregor | Megan Rose Fox | LaRain Ring | Kevin Hudnell | Vladimir Velasco | Sarah Shoshana David | Matt Hering | Dan Anderson | Patrick Wilder | Ryan Curtis | Jay Laurence | Abraxas Adams | Tina Bruna | Hunter Craig | Ryder Craig | Rodion Salnikov | Emily Gilliam | Kody Klein | John Mark Reyes | Diane Cortejo | Leonida A. Bautista | Myrna De Dios | Lorelai Hoey | William O'Brien | Gigi Benson | Emily Jordan | Amanda Caryn Jobbins | Olivia Rosemarie Barham

Viewing Notes

Days later and I still haven’t been able to really solidify my thoughts on this film. The cinematography is gorgeous, despite the fact that I saw it digitally projected instead of in 70mm. And yes, you could tell. I’d love to see it in its original aspect ratio. Not sure what my chances are of that; probably pretty slim.

Philip Seymour Hoffman and Joaquin Phoenix both turn in phenomenal, Oscar-worthy performances.

I can’t wait to sit and have a serious discussion about this movie with my film friends. Maybe by then I’ll have formed some more concrete opinions about the actual subject matter.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0268
Total Execution Time  0.0282
  GET DATA  
No GET data exists
  MEMORY USAGE  
548,200 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/9610
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0068 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = '41d5889bcf54e79b3bf6fedb7a8c23eb66983c0e'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('872856d28fd91c651a4afca34fee7e53'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = '41d5889bcf54e79b3bf6fedb7a8c23eb66983c0e'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 
LIMIT 1 
0.0003   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 9610
AND `MV`.`user_id` = 1
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0028   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_nameAS `genre_name_01`, `G2`.`genre_nameAS `genre_name_02`, `G3`.`genre_nameAS `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 directorsGROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_idsGROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actorsGROUP_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` `MVON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MPON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMTON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRCON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVCON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STRON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMDON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DRON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMAON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACTON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 9610
AND `MV`.`user_id` = 1
ORDER BY 
`date_viewedDESC 
0.0002   SET SESSION group_concat_max_len 1024 
0.0003   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 9610 
0.0002   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MTON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 9610 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0001   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 9610
 LIMIT 1 
0.0001   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '18'
 
LIMIT 1 
0.0004   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2ON `MV`.`title_id` = `MV2`.`title_idAND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 9610
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0003   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MUON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 9610 
0.0004   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MVON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MTON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 5588
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)