Movielogr

movie poster

Average Rating: 9/10

View on: IMDb | TMDb

Hacking Democracy (2006)

Directed by Simon Ardizzone, Russell Michaels

Most recently watched by nobody

Overview

Documentary film investigating allegations of election fraud during the 2004 U.S. presidential election. Electronic voting machines count approximately 90% of America’s votes in county, state and federal elections. The technology is also increasingly being used across the world, including in Canada, the United Kingdom, Europe and Latin America. The film uncovers incendiary evidence from the trash cans of Texas to the ballot boxes of Ohio, exposing secrecy, votes in the trash, hackable software and election officials rigging the presidential recount.Ultimately proving our votes can be stolen without a trace “Hacking Democracy” culminates in the famous ‘Hursti Hack’; a duel between the Diebold voting machines and a computer hacker from Finland - with America’s democracy at stake.

Rated PG | Length 82 minutes

Actors

James Naughton | Bev Harris | Harri Hursti | Mark Radke | Ion Sancho | Andy Stephenson

  BENCHMARKS  
Loading Time: Base Classes  0.0016
Controller Execution Time ( Overview / Movie Detail )  0.0212
Total Execution Time  0.0229
  GET DATA  
No GET data exists
  MEMORY USAGE  
519,488 bytes
  POST DATA  
No POST data exists
  URI STRING  
overview/movie_detail/2332
  CLASS/METHOD  
overview/movie_detail
  DATABASE:  movielogr_dev (Overview:$db)   QUERIES: 10 (0.0036 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = 'cc9a0e365aef4ead9867fea5e6a1f3a75245754e'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('edfd47a5cb67737440e3f983b6c59307'300) AS ci_session_lock 
0.0002   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'cc9a0e365aef4ead9867fea5e6a1f3a75245754e'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `MT`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
WHERE `MT`.`title_id` = 2332
 LIMIT 1 
0.0003   SET SESSION group_concat_max_len 12288 
0.0012   SELECT `MT`.`title_id`, `title`, `prefix`, `year`, `imdb_link`, `imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, MAX(MP.filename) AS filenameGROUP_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_movie_posters` `MPON `MT`.`title_id` = `MP`.`title_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 `MT`.`title_id` = 2332
GROUP BY 
`title_id
0.0002   SET SESSION group_concat_max_len 1024 
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` = 2332
ORDER BY 
`date_viewedDESC
 LIMIT 10 
0.0003   SELECT AVG(NULLIF(rating_id2)) AS `avg_rating`
FROM `ml_movies`
WHERE `title_id` = 2332 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star`
WHERE `rating_id` = 20 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)