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Chapters
Introduction
Introduction
0:00
Introduction
0:00
Guest Introductions
Guest Introductions
3:27
Guest Introductions
3:27
Input vs Output
Input vs Output
6:35
Input vs Output
6:35
Weighted Race Feature
Weighted Race Feature
9:24
Michigan Analysis
Michigan Analysis
13:00
Michigan Analysis
13:00
Two Types of Voting
Two Types of Voting
15:18
Two Types of Voting
15:18
Example
Example
16:15
Example
16:15
Analysis
Analysis
18:06
Analysis
18:06
Data Analysis
Data Analysis
23:24
Data Analysis
23:24
Trump Votes
Trump Votes
31:07
Trump Votes
31:07
Early Voting Results
Early Voting Results
34:19
Early Voting Results
34:19
Results
Results
39:40
Results
39:40
Discussion
Discussion
41:40
Discussion
41:40
Questions
Questions
42:50
Questions
42:50
Is the pattern normal
Is the pattern normal
43:59
Is the pattern normal
43:59
Is it a computer algorithm
Is it a computer algorithm
46:25
Future research questions
Future research questions
48:51
Conclusion
Conclusion
50:07
Conclusion
50:07
Ballot Images
Ballot Images
52:03
Ballot Images
52:03
Description
Chapters
Transcript
Follow along using the transcript.
Dr. SHIVA Ayyadurai, MIT PhD
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