You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 movie_platform
【Schema】
# Table: lists
[
(user_id:INTEGER, Examples: [88260493, 45204418, 48905025]),
(list_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(list_title:TEXT, Examples: [Films that made your kid sister cry]),
(list_movie_number:INTEGER, Examples: [5, 3, 7]),
(list_update_timestamp_utc:TEXT, Examples: [2019-01-24 19:16:18, 2018-12-03 15:12:20, 2019-05-30 03:00:07]),
(list_creation_timestamp_utc:TEXT, Examples: [2009-11-11 00:02:21, 2009-11-11 00:05:11, 2009-11-11 00:20:00]),
(list_followers:INTEGER, Examples: [5, 1, 6]),
(list_url:TEXT),
(list_comments:INTEGER, Examples: [3, 2, 5]),
(list_description:TEXT),
(list_cover_image_url:TEXT),
(list_first_image_url:TEXT),
(list_second_image_url:TEXT),
(list_third_image_url:TEXT)
]
# Table: movies
[
(movie_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(movie_title:TEXT, Examples: [La Antena, Elementary Particles, It's Winter]),
(movie_release_year:INTEGER, Examples: [2007, 2006, 2005]),
(movie_url:TEXT),
(movie_title_language:TEXT, Examples: [en]),
(movie_popularity:INTEGER, Examples: [105, 23, 21]),
(movie_image_url:TEXT),
(director_id:TEXT, Examples: [131, 73, 82]),
(director_name:TEXT, Examples: [Esteban Sapir, Oskar Roehler, Rafi Pitts]),
(director_url:TEXT)
]
# Table: lists_users
[
(user_id:INTEGER, Primary Key, Examples: [2385, 15264, 15344]),
(list_id:INTEGER, Primary Key, Examples: [192287, 192313, 192318]),
(list_update_date_utc:TEXT, Examples: [2019-11-26, 2020-05-01, 2020-04-12]),
(list_creation_date_utc:TEXT, Examples: [2009-12-18, 2010-01-30, 2010-03-31]),
(user_trialist:INTEGER, Examples: [1, 0]),
(user_subscriber:INTEGER, Examples: [1, 0]),
(user_avatar_image_url:TEXT),
(user_cover_image_url:TEXT),
(user_eligible_for_trial:TEXT, Examples: [0, 1]),
(user_has_payment_method:TEXT, Examples: [1, 0])
]
# Table: ratings_users
[
(user_id:INTEGER, Examples: [41579158, 68654088, 84114365]),
(rating_date_utc:TEXT, Examples: [2017-06-10, 2012-10-02, 2010-12-25]),
(user_trialist:INTEGER, Examples: [0, 1]),
(user_subscriber:INTEGER, Examples: [0, 1]),
(user_avatar_image_url:TEXT),
(user_cover_image_url:TEXT),
(user_eligible_for_trial:INTEGER, Examples: [1, 0]),
(user_has_payment_method:INTEGER, Examples: [0, 1])
]
# Table: ratings
[
(movie_id:INTEGER, Examples: [1066, 1067, 1068]),
(rating_id:INTEGER, Examples: [15610495, 10704606, 10177114]),
(rating_url:TEXT),
(rating_score:INTEGER, Examples: [3, 2, 4]),
(rating_timestamp_utc:TEXT, Examples: [2017-06-10 12:38:33, 2014-08-15 23:42:31, 2014-01-30 13:21:57]),
(critic:TEXT),
(critic_likes:INTEGER, Examples: [0, 1, 2]),
(critic_comments:INTEGER, Examples: [0, 2, 1]),
(user_id:INTEGER, Examples: [41579158, 85981819, 4208563]),
(user_trialist:INTEGER, Examples: [0, 1]),
(user_subscriber:INTEGER, Examples: [0, 1]),
(user_eligible_for_trial:INTEGER, Examples: [1, 0]),
(user_has_payment_method:INTEGER, Examples: [0, 1])
]
【Foreign keys】
lists.user_id=lists_users.user_id
lists_users.list_id=lists.list_id
lists_users.user_id=lists.user_id
ratings_users.user_id=lists_users.user_id
ratings.movie_id=movies.movie_id
ratings.user_id=lists_users.user_id
ratings.rating_id=ratings.rating_id
ratings.user_id=ratings_users.user_id

    【Question】
    Please list the names of the top three movies in the number of likes related to the critic made by the user rating the movie. likes related to the critic made by the user rating the movie refers to critic_likes; top refers to Max(critic_likes);

    【Evidence】
    likes related to the critic made by the user rating the movie refers to critic_likes; top refers to Max(critic_likes);

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.movie_title FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id ORDER BY T1.critic_likes DESC LIMIT 3