As I was browsing the IMDB ratings for the movies released in July, I wondered how the average user of IMDB knows what is a good rating for a movie. I’m sure the more than casual visitor to IMDB would see the 8.2 rating for Baby Driver and immediately recognize that only above average movies receive ratings that high. Or, they might see the 1.5 rating for The Emoji Movie and fully understand that this is a really bad movie. But, what about the 6.8 for Valerian and the City of a Thousand Planets or the 7.2 for Atomic Blonde. They might have a number in their head as to what is the tipping point for a good and bad rating but that number could only be a guess. To really know, you’d have to compile a list of all the movies you’ve seen and compare their IMDB rating to how you’ve rated them. That would be crazy. Right? But, wait a minute. I’m that crazy! I’ve done that! Well, maybe not every movie I’ve ever seen. But, every movie I’ve seen in the last fifteen years.
So, given the fact that I’ve done what only a crazy man would do, what can I tell you about what is a good IMDB rating. Here’s my breakdown:
|IMDB Avg. Rating||# I Really Liked||# I Didn’t Really Like||Really Like %|
|7.2 to 8.1||732||427||63.2%|
|6.2 to 7.1||303||328||48.0%|
The data suggests that IMDB ratings of 7.2 or higher give me the best chance of choosing a “really like” movie.
I mentioned a few posts ago that my new long range project is to develop a database that is totally objective, free from the biases of my movie tastes. I’m compiling data for the top 150 movies in box office receipts for the last 25 years. It’s a time-consuming project that should produce a more robust sample for analysis. One of my concerns has been that the database of movies that I’ve seen doesn’t have a representative sample of bad movies. While it’s a long way from completion, I have completed years 1992 and 1993 which are representative enough to make my point.
|IMDB Avg. Rating||% of All Movies in Objective Database (Years 1992 & 1993)||% of All Movies in My Seen Movie Database|
|7.2 to 8.1||23%||57%|
|6.2 to 7.1||35%||31%|
Over the last six or seven years in particular, I have made a concerted effort to avoid watching bad movies. You can see this in the data. If 7.2 is the “really like” benchmark, then only 24% of the top 150 movies at the box office are typically “really like” movies. On the other hand, my selective database has generated 64% “really like” movies over the past 15 years. This is a big difference.
While no new movies broke into the Objective Top Fifteen this week, Megan Leavy, which was released around eight weeks ago, slipped into the list. This under-the-radar movie didn’t have enough critics’ reviews to be Certified Fresh on Rotten Tomatoes until recently.
As for this weekend, The Dark Tower could be a disappointment to everyone but the most die-hard of Stephen King fans. Instead, I’m keeping an eye on Detroit. This urban drama, directed by Kathryn Bigelow, captures the chaos of Detroit in 1967. It probably will be surveyed by Cinemascore.
A third movie, that probably won’t be surveyed by Cinemascore but I’m watching nevertheless, is Wind River. Taylor Sheridan, who wrote the acclaimed movies Hell or High Water and Sicario, wrote this movie. Sheridan is a great young talent who is stepping behind the camera in his directorial debut as well.