Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data...

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Nate Silver, Statistician, Author & Founder, ESPN'S FiveThirtyEight blog His presentation at the 4A's Data Summit on Oct. 16 in NYC. Visit http://datasummit.aaaa.org/ for more information.

Transcript of Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data...

Page 1: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit
Page 2: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Big Data… Big Problems?

Page 3: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Big Data… Big Problems?

Page 4: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Big Data… Big Problems?

Page 5: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Lessons of 2012

1. Average the Polls

2. Count to 270

3. Account for Margin of

Error

The 538 Method (Simplified)

Page 6: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Lessons of 2012

Page 7: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Lessons of 2012

Page 8: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Lessons of 2012

Page 9: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Lessons of 2012

“nate silver”

“joe biden”

Page 10: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Lessons of 2012

“justin bieber”

Page 11: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Problem #1: Big Data… Big Bias?

Page 12: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Problem #1: Big Data… Big Bias?

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Problem #1: Big Data… Big Bias?

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The Signal-to-Noise Ratio

𝟓𝒙 𝟒𝟐

=𝟏𝟎

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The Signal-to-Noise Ratio

𝟏𝟎𝒙𝟗𝟐

=𝟒𝟓

Page 16: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

The Signal-to-Noise Ratio

𝟏𝟒𝟖 ,𝟎𝟎𝟎𝒙𝟏𝟒𝟕 ,𝟗𝟗𝟗𝟐

=𝟏𝟎 ,𝟗𝟓𝟏 ,𝟗𝟐𝟔 ,𝟎𝟎𝟎

Page 17: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Problem #2: Desperately Seeking Signal

http://imgs.xkcd.com/comics/sports.png

Page 18: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Problem #2: Desperately Seeking Signal

Page 19: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Problem #2: Desperately Seeking Signal

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The Limits of Artificial “Intelligence”

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The Limits of Artificial “Intelligence”

+1 +1 +1 +1 +1 +1 +3 +3 +3 +5 +9 = 29

+1 +1 +1 +1 +1 +3 +3 +5 +5 +9 = 30

Kasparov

Deep Blue

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The Limits of Artificial “Intelligence”

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Problem #3: Feature or Bug?

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Problem #3: Feature or Bug?

Page 27: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Problem #3: Feature or Bug?

Page 28: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestions

Page 29: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestions

1. Think Probabilistically

2. Know Where You’re Coming From

3. Try, and Err

Page 30: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestion #1: Think Probabilistically

Levee: 51’Flood Prediction: 49’

Page 31: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestion #1: Think Probabilistically

Levee: 51’Flood Prediction: 49’

Margin of Error: ±9’

Page 32: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestion #1: Think Probabilistically

Page 33: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestion #2: Know Where You’re Coming From

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Suggestion #3: Try, and Err

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Effort

Accuracy

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Suggestion #3: Try, and Err

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Suggestion #3: Try, and Err

Effort

Accuracy

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Suggestion #3: Try, and Err

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Suggestion #3: Try, and Err

Effort

Accuracy

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Suggestion #3: Try, and Err

Effort

Accuracy

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Suggestion #3: Try, and Err

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Accuracy

Water level

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Suggestion #3: Try, and Err

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Effort

Accuracy

Competitive Advantage

Page 42: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestions

1. Think Probabilistically

2. Know Where You’re Coming From

3. Try, and Err

Page 43: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestions

(Know Your Limitations)

2. Know Where You’re Coming From

3. Try, and Err

Page 44: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestions

(Know Your Limitations)

(Consider Your Assumptions)

3. Try, and Err

Page 45: Nate Silver - What Do Poker, Presidential Elections, & Sports Have in Common with Big Data? - Data Summit

Suggestions

(Know Your Limitations)

(Consider Your Assumptions)

(Refine Your Process)

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Suggestions

“In Science, We Seek to Balance Creativity and Skepticism”

-- Michael Babyak, PhD, Department of Psychiatry and Behavioral Science, Duke University MedicalCenter