TOP 100 MOVIES OF 2000-03

Rating Methodology

Ranking Scope

Each yearly ranking lists the Top 50 films released in that specific year.

The 2000-03 ranking includes a Top 100, selecting the highest-rated films across the entire period.

The larger size of this list reflects the broader competition and allows for a more representative selection of standout titles. Limiting it to just 50 would exclude many high-scoring films.

Score Calculation

The overall score is determined in two steps:

1. Adjustment of platform ratings, based on:

• The original rating
• The number of votes the movie received on that platform
• The average number of votes across all movies on that platform

2. Equal averaging of all adjusted ratings to produce the final score.

This two-step process ensures that:

• Within each platform, movies with more votes are treated as having more reliable averages.
• Each platform contributes equally to the final score, regardless of the size of its user base.

For example, a movie with 100,000 votes will have a more stable average than one with only 1,000. Its adjusted score will stay closer to the platform's true average, assuming the typical vote count is also near 100,000.

Color-Coding System

The color-coding method differs between the 2000-03 Top 100 and the yearly rankings:

• For yearly rankings, colors reflect percentile rankings within each column. This is necessary because each platform has its own typical rating range, scale, and tendencies. Therefore, the same numerical score might appear in different colors across platforms — what matters is how that score compares to other movies on that same platform.
• For the 2000-03 Top 100, colors are based on absolute values rather than percentiles. These films represent the top-rated titles across multiple years, so their scores are consistently high. Using percentiles in this case would exaggerate minimal differences between already excellent scores (e.g., showing a 9.9 in red while a 10 appears in green).

This dual approach ensures that color coding meaningfully reflects both relative performance (within a year) and absolute quality (across the 2000-03 period).

Conclusion

This methodology offers a more balanced and reliable evaluation of each film by reducing the influence of low vote counts and accounting for the varying rating systems across different platforms.