The Chad and the Code: Why Rendering is Never Neutral
The two thousand Florida election is famous for 'hanging chads' and 'butterfly ballots,' but the technical reality reveals a deeper lesson about how we interpret physical evidence through digital lenses. This episode explores the mechanics of punch-card voting and the invisible defaults of image interpolation that shape how machines and humans see the world.
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Physical paper chads created machine errors when tabulators could not interpret analog nuances as binary data.
The butterfly ballot design caused spatial confusion that led thousands of voters to select the wrong candidate.
Disabled overvote sensors in optical-scan machines prevented voters from receiving feedback about their errors.
Nearest Neighbor interpolation preserves hard edges while Bilinear interpolation averages four pixels for smoother transitions.
Bicubic interpolation analyzes sixteen pixels to provide high-quality results for professional digital archives.
Graphics APIs default to smoothness for aesthetics, which can obscure raw data needed for forensic analysis.
- 01Intro1 min
- 02The Anatomy of a Chad2 min
- 03Design Flaws and Optical Errors3 min
- 04The Math of the Pixel2 min
- 05The Invisible Hand of Defaults2 min
- 06Outro1 min
- Copy of a 2000 Presidential Election Ballot for Palm Beach County ...
- Artifact: 2000 Palm Beach County Ballot
- The Butterfly Did It: The Aberrant Vote for Buchanan in Palm ...
- 'Hanging chads' and butterfly ballots — Florida, 2000
- Chapter 8: The Machinery of Elections
- GAO-04-1041R, Department of Justice's Activities to Address Past Election-Related Voting Irregularities
- NORC creating nation's best archive of votes made during ...
- Optical Scanners Topped Pregnant Chads as Most Flawed in Florida
- Interpolation Algorithms in PixInsight
- Image Interpolation Methods Compared - Nearest Neighbor ...
- [MS-EMFPLUS]: InterpolationMode Enumeration
- InterpolationMode (gdiplusenums.h) - Win32 apps
- Linear Methods for Image Interpolation
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