I found a collection of one-minute movie summaries that distill films down to their core plots. For many movies, reading these brief, satirical scripts is just as good as watching the entire film.
I plotted IMDb ratings against vote counts to find outliers. I discovered that popular movies with low ratings, like Titanic and Star Wars: Episode I, are almost always big-budget blockbusters, while high-rated unpopular entries are usually TV shows.
I found a resource for streaming Hindi movies online via Filmnasha. It provides a direct way for you to watch Bollywood films and Indian cinema titles directly within your web browser.
I'm checking out the launch of Google Movies, a specialized search tool for showtimes and theaters. It represents a significant step into local search, making it easier to find what’s playing nearby via Slashdot.
I realized my movie ratings aren't normally distributed because I selectively watch good films. Forced ranking in companies or schools is inherently flawed because it ignores this sampling bias and unfairly penalizes high performers in selective environments.
I shared a dataset of the top 1000 most popular IMDb movies, including ratings and vote counts. I marked which ones I've watched to help analyze popular but lousy films, available via an embedded spreadsheet and Excel download.