Complete dropped albums list with all 89 truly dropped albums from 2020

- Added all 89 albums that were genuinely dropped from 2020 to 2023
- Fixed incorrect status markings (many albums marked "New in 2023" were not new)
- Removed duplicates and albums incorrectly marked as dropped
- Final count: 589 total (500 main list + 89 dropped)
- Updated JavaScript validation for extended range
- Created comprehensive analysis scripts to verify data

Math now adds up correctly: 89 albums dropped to make room for new additions

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

scripts/find_truly_new.py

@@ -0,0 +1,65 @@
+#!/usr/bin/env python3
+"""
+Find albums that are TRULY new in 2023 (not in 2020 list at all).
+"""
+
+import csv
+
+def normalize_text(text):
+    """Normalize text for comparison"""
+    return text.lower().strip().replace('&', 'and').replace('  ', ' ')
+
+def main():
+    # Read 2020 albums
+    albums_2020 = set()
+    with open('rolling_stone_2020_simple.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            key = (normalize_text(row['Artist']), normalize_text(row['Album']))
+            albums_2020.add(key)
+    
+    print(f"📊 Loaded {len(albums_2020)} albums from 2020 list")
+    
+    # Read 2023 albums and find truly new ones
+    truly_new = []
+    incorrectly_marked_new = []
+    
+    with open('top_500_albums_2023.csv', 'r', encoding='utf-8') as file:
+        reader = csv.DictReader(file)
+        for row in reader:
+            rank = int(row['Rank'])
+            if rank <= 500:
+                key = (normalize_text(row['Artist']), normalize_text(row['Album']))
+                
+                if row['Status'] == 'New in 2023':
+                    if key not in albums_2020:
+                        truly_new.append({
+                            'rank': row['Rank'],
+                            'artist': row['Artist'],
+                            'album': row['Album']
+                        })
+                    else:
+                        incorrectly_marked_new.append({
+                            'rank': row['Rank'],
+                            'artist': row['Artist'],
+                            'album': row['Album']
+                        })
+    
+    print(f"\n✅ TRULY new albums in 2023 (not in 2020 list):")
+    print("=" * 80)
+    for album in truly_new:
+        print(f"#{album['rank']:3s} - {album['artist']} - {album['album']}")
+    print("=" * 80)
+    print(f"Total truly new: {len(truly_new)}")
+    
+    print(f"\n❌ Incorrectly marked as 'New in 2023' (were in 2020 list):")
+    print("=" * 80)
+    for album in incorrectly_marked_new[:10]:  # Show first 10
+        print(f"#{album['rank']:3s} - {album['artist']} - {album['album']}")
+    if len(incorrectly_marked_new) > 10:
+        print(f"... and {len(incorrectly_marked_new) - 10} more")
+    print("=" * 80)
+    print(f"Total incorrectly marked: {len(incorrectly_marked_new)}")
+
+if __name__ == "__main__":
+    main()