Charts: Lists
This page shows you the list charts. By default, the movies are ordered by how many times they have been marked as a favorite. However, you can also sort by other information, such as the total number of times it has been marked as a dislike.
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IMDB Ratings
Favs/dislikes: 0:0. -
IMDB Shadow Top 100
Favs/dislikes: 2:0. The Shadow Top 100 contains the titles that have disappeared from the IMDb Top 250 but have been on it longest. These are the titles with the highest recurrence. -
IMDb Top 10,000 adjusted to my specifications (Part I)
Favs/dislikes: 2:0. . A little number game. What have I done? . On April 9, 2023 I pulled data from IMDb ( www.imdb.com/interfaces/ ). Now the data does not all fit in a csv or excel file. That's why I decided to use Power Pivot to filter out the film types (movie, short, tv-MiniSeries, tv-Movie) that are most important to me. So I had a list of over 90,000 films. (I only included films with at least 250 votes and a rating of 2.5). . Basically, my focus is on the type "movie". . Therefore, in the first step of my specification, I assigned malus points (penalty points, minus points) for "shorts", "tv-MiniSeries" and "tv-Movies" as well as for the genres "Adult" and "Documentary". In the case of the "shorts", the penalty points even increased the shorter the film is. In my opinion, I only accept a film that is longer than 5 minutes. . In the second step, I gave plus and minus points depending on data ("most favorite movies" and "most official lists") on ICM ( www.icheckmovies.com/ ). . In the third step, I then also added a weighting by year to account for the significant distortion of timeliness in online vote counts. This weight was "votes x (1+((1977 minus the release year of the movie)/100)". I copied this great idea (adapted a bit at my discretion) from the Letterboxd user Prof. Ratigan. . I chose the year 1977 because from 1977 the VHS format for video recorders became more and more established and the home video recorder market became established as a result. . In the fourth step, I used the IMDb formula* for the "weighted rating" to adjust the film rating I had already specified. . *weighted rating (WR) = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C where: R = my specified average for the movie (mean) = (Rating) v = my specified number of votes for the movie = (votes) m = minimum votes required to be listed in the Top 10,000 (currently 999) C = the minimum vote across the whole report (currently 4.9) . And now the following is the result, have fun with it. -
IMDb Top 10,000 adjusted to my specifications (Part II)
Favs/dislikes: 2:0. . A little number game. What have I done? . On April 9, 2023 I pulled data from IMDb ( www.imdb.com/interfaces/ ). Now the data does not all fit in a csv or excel file. That's why I decided to use Power Pivot to filter out the film types (movie, short, tv-MiniSeries, tv-Movie) that are most important to me. So I had a list of over 90,000 films. (I only included films with at least 250 votes and a rating of 2.5). . Basically, my focus is on the type "movie". . Therefore, in the first step of my specification, I assigned malus points (penalty points, minus points) for "shorts", "tv-MiniSeries" and "tv-Movies" as well as for the genres "Adult" and "Documentary". In the case of the "shorts", the penalty points even increased the shorter the film is. In my opinion, I only accept a film that is longer than 5 minutes. . In the second step, I gave plus and minus points depending on data ("most favorite movies" and "most official lists") on ICM ( www.icheckmovies.com/ ). . In the third step, I then also added a weighting by year to account for the significant distortion of timeliness in online vote counts. This weight was "votes x (1+((1977 minus the release year of the movie)/100)". I copied this great idea (adapted a bit at my discretion) from the Letterboxd user Prof. Ratigan. . I chose the year 1977 because from 1977 the VHS format for video recorders became more and more established and the home video recorder market became established as a result. . In the fourth step, I used the IMDb formula* for the "weighted rating" to adjust the film rating I had already specified. . *weighted rating (WR) = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C where: R = my specified average for the movie (mean) = (Rating) v = my specified number of votes for the movie = (votes) m = minimum votes required to be listed in the Top 10,000 (currently 999) C = the minimum vote across the whole report (currently 4.9) . And now the following is the result, have fun with it. -
IMDB Top 25 Box Office of 2014
Favs/dislikes: 2:0. -
IMDB TOP 250
Favs/dislikes: 0:0. -
IMDb Top 250 (1996)
Favs/dislikes: 1:0. The IMDb Top 250 as it existed in 1996 -
IMDb Top 250 (1996)
Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1996. -
IMDb Top 250 (1997)
Favs/dislikes: 1:0. The IMDb Top 250 as it existed in 1997 -
IMDb Top 250 (1997)
Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1997. -
IMDb Top 250 (1998)
Favs/dislikes: 1:0. The IMDb Top 250 as it existed in 1998 -
IMDb Top 250 (1998)
Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1998. -
IMDb Top 250 (1999)
Favs/dislikes: 1:0. The IMDb Top 250 as it existed in 1999 -
IMDb Top 250 (1999)
Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 1999. -
IMDb Top 250 (2000)
Favs/dislikes: 0:0. The IMDb Top 250 as it existed in 2000 -
IMDb Top 250 (2000)
Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2000. -
IMDb Top 250 (2001)
Favs/dislikes: 0:0. The IMDb Top 250 as it existed in 2001 -
IMDb Top 250 (2001)
Favs/dislikes: 3:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2001. -
IMDb Top 250 (2002)
Favs/dislikes: 0:0. The IMDb Top 250 as it existed in 2002 -
IMDb Top 250 (2002)
Favs/dislikes: 2:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2002. -
IMDb Top 250 (2003)
Favs/dislikes: 0:0. The IMDb Top 250 as it existed in 2003 -
IMDb Top 250 (2003)
Favs/dislikes: 3:0. This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2003. -
IMDb Top 250 (2004)
Favs/dislikes: 2:0. "This badge is awarded for rating the entire IMDb Top 250 as of December 31st, midnight PST, 2004." -
IMDb Top 250 (2004)
Favs/dislikes: 0:0. The IMDb Top 250 as it existed in 2004 -
IMDb Top 250 (2005)
Favs/dislikes: 0:0. The IMDb Top 250 as it existed in 2005
Showing items 12876 – 12900 of 23392