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Predictive Analytics World
Weird Science:
How to Know Your Predictive
Discovery Is Not BS
Predictive Analytics World
May 2017
Eric Siegel, Ph.D.
Founder, Predictive Analytics World
Author, Predictive Analytics
Predictive Analytics World
If you torture the data long
enough, it will confess.
Ronald Coase
Professor of Economics
University of Chicago
“
”
There are three kinds of lies:
lies, damned lies, and statistics.
Benjamin Disraeli
“
”
Predictive Analytics World
When is bigger data more dangerous
Predictive Analytics World
www.predictiveanalyticstimes.com
Predictive Analytics World
#PAWWorkforce
@predictanalytic
Predictive Analytics Worldwww.ThePredictionBook.com
Intro - Concepts
Chapter 1 - Deployment
Chapter 2 - Ethics
Chapter 3 - Data
Chapter 4 - Modeling
Chapter 5 - Ensembles
Chapter 6 - Watson
Chapter 7 - Influence
Predictive Analytics World
Chapter 3: The Data Effect
Predictive Analytics World
Outline
1. Value – the sexiest job
2. Caution – orange lemons
3. False conclusions – cumulative risk
4. Comedy – humorous examples
5. Safeguards – ensuring sound results
Predictive Analytics World
2012
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
www.PredictThis.org
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
The Data Effect:
Data is always predictive
Projects never fail due to lack of
patterns.
–Tom Khabaza
“
”
Predictive Analytics World
Technology that learns from experience to
predict the outcome/behavior of individuals
… in order to drive better decisions.
Predictive Analytics:
34 12 27 79 42 5934 1234 271234 79271234 42 5979271234 1234
(data)
^
Predictive Analytics World
Millions of decisions a day determine whom to call,
mail, approve, test, diagnose, warn, investigate,
incarcerate, set up on a date, and medicate.
Predictive Analytics World
Predictive analytics is
the Information Age's
latest evolutionary step.
Predictive Analytics World
A Cautionary Tale
Predictive Analytics World
An orange used car is least likely to be a
lemon.
“
”
2012
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
p < 1%
if orange cars were no different,
there’d be a < 1% chance we’d
see that extreme a result anyway
Predictive Analytics World
p < 0.0068
Predictive Analytics World
BAD SCIENCE
Predictive Analytics World
The trouble with the world is that the
stupid are cocksure and the intelligent
are full of doubt.
–Bertrand Russell
“
”
Predictive Analytics World
An Insightful Story
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
70 spins...
Predictive Analytics World
1
100
×
1
100
Predictive Analytics World
99
100
×
99
100
99
100
× …
Predictive Analytics World
=
99
100)(
70
0.495
Predictive Analytics World
Predictive Analytics World
The Scientific Method
Predictive Analytics World
Predictive analytics is
the automation of
scientific research.
Predictive Analytics World
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
Hypothesis
hypothesis
hypothesis
hypothesis
Predictive Analytics World
“Less than 1% chance
woulda shown by
chance if it weren’t a
real effect.”
Predictive Analytics World
70 hypotheses...
Predictive Analytics World
“ ”
un-
Predictive Analytics World
It is probable that improbable
things will happen.
–Aristotle
“
”
Predictive Analytics World
70 hypotheses tested for baldness
 Dirt
 Broccoli
 Bananas
 Watching movies
 Thinking hard
 Raw eggs
 Cooked eggs
 Learning the tuba
 Hip hop dancing
 The Brady Bunch
 Going to PAW
 Exercise
 Playing piano
 Touch Bruce Willis
 Vacation
 Etc.
Predictive Analytics World
=
99
100)(
70
0.495
Cumulative Risk
Predictive Analytics World
Make Model Year Size Color
Predictive Analytics World
Vast search
John Elder, CEO, Elder Research, Inc.
AKA:
Multiple comparisons trap
Multiple hypothesis testing
Researcher degrees of freedom
over-search (akin to overfit)
Look-elsewhere effect
The garden of forking paths
Fishing expedition
Cherry-picking findings
Data dredging
Significance chasing
P-hacking
Predictive Analytics World
bigger data is more hazardous
wider___
Predictive Analytics World
Make Model Year Size Color
Predictive Analytics World
I am not saying that
Warren Buffett is not
skilled; only that a large
population of random
investors will almost
necessarily produce
someone with his track
records just by luck.
“
”–Nassim Nicholas
Taleb
Predictive Analytics World
... They [appear]
statistically significant,
but you have so many
lottery tickets when you
can run an analysis on a
[large data set] that
you’re going to have
some one-in-a-million
coincidences just by
chance alone.
“
”–Nate Silver
Predictive Analytics World
Predictive Analytics World
In China when you’re one in a million,
there are 1,300 people just like you.
–Bill Gates
“
”
Predictive Analytics World
Predictive Analytics World
XKCD, by Randall Munroe
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Butter in Bangladesh
Predictive Analytics World
I got calls for years
asking me what the
current butter business
in Bangladesh was
looking like and I kept
saying, “Ya know, it was
a joke, it was a joke!” It’s
scary how few people
actually get that.
“
”–David Leinweber
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
72,983 cars – 8,976 lemons
415 orange cars – 34 lemons
Predictive Analytics World
72,983 cars – 8,976 lemons
415 orange cars – 34 lemons
p < 0.0068
Predictive Analytics World
Predictive Analytics World
Target Shuffling
Predictive Analytics World
7.2%
Predictive Analytics World
Bad news: The vast search
pitfall is prevalent.
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Predictive Analytics World
Good news: You can avoid
the vast search pitfall.
Predictive Analytics World
Avoid the Vast Search Pitfall
 Don't be fooled by randomness
 Failsafe against cumulative risk
 Account for vast search
Predictive Analytics World
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
Hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
hypothesis
Predictive Analytics World
1) Bigger Longer Data
Predictive Analytics World
2) Employ a Test Set
Predictive Analytics World
Chapter 3: The Data Effect
Predictive Analytics: The Power to Predict Who Will
Click, Buy, Lie, or Die
Paper and Video:
Are Orange Cars Really not Lemons?
by John Elder and Ben Bullard, Elder Research, Inc.
www.elderresearch.com/orange-car
www.predictiveanalyticsworld.com/patimes/video-the-power-
and-peril-of-predictive-analytics/
Workshop: Predictive Modeling Methods
This Thursday
Instructor: John Elder
Predictive Analytics World
An unlimited amount of
computational resources
is like dynamite: If used
properly, it can move
mountains. Used
improperly, it can blow
up your garage or your
portfolio.
“
”
–David Leinweber
Predictive Analytics World
Why the Vast Search Pitfall
Is Still Prevalent
1) Simplicity can deceive
2) It’s elusive
3) It’s new
4) It's a buzzkill
5) Falsehoods don't look wrong
Predictive Analytics World
To Learn More:
The Predictive Analytics Guide
www.pawcon.com/guide
Predictive Analytics World
Eric Siegel, Ph.D.
Program Chair
Predictive Analytics World

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835 keynote siegel