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RODNEY HART APRIL 9, 2015 PREPARED FOR DATA SCIENCE COURSE, DATBOS05
GOING PRO:
WHY SKILL MAY HAVE
NOTHING TO DO WITH IT
an analysis of the relative age effect
along with the impact of relative height
Origins.head()
10,000 HOUR RULE
KEY DETERMINANT OF SUCCESS
10,000Hours.describe()
Key to success in any field is, to a large
extent, a matter of practicing a specific
task for a total of around 10,000 hours.
What’s interesting here?
…all early birthdays?
RELATIVE
AGE
EFFECT
NEW TERM COINED
CHA-CHING, ROGER BARNSLEY
Relative Age Effect,Visualized
9 years,
11 months,
364 days
9 years,
0 months,
0 days
9 years,
6 months,
0 days
Relative Age Effect,Visualized
9 years,
11 months,
364 days
9 years,
0 months,
0 days
9 years,
6 months,
0 days
Relative Age Effect,Visualized
Relative Age Effect,Visualized
BEST TEAMS | BEST COACHING | BEST COMPETITION
BUILDING 10,000 HOURS
Relative Age Effect,Visualized
LESSER TEAMS | CHOOSE A DIFFERENT HOBBY?
BUILDING 10,000 HOURS
How do we test this?
TYPICALLY BIRTHS CORRELATE TO DAYS IN MONTH
Hockey Birth Distributions
ARE PULLED TOWARD AGE CUTOFF DATE
Okay, so what’s the cutoff?
1
JANUARY
OLYMPIC QUALIFICATIONS ARE JANUARY 1
GLOBAL IMPLICATIONS
Just get to the data already…
First, a shout-out to Stu…
ANIMATION DOESN’T WORK
IN THIS SLIDE DECKVERSION
Making the data usable…
COUNTRYHEIGHTBIRTHDATE
1/26/1961
26
convert to
Making the data usable…
COUNTRYHEIGHTBIRTHDATE
1/26/1961
26
convert to
JAN
26
1961
26
WITH THE DATA CLEANED
TIME FOR EXAMINATION
Birthdate Analysis | life insurance
32,000
34,000
36,000
38,000
40,000
42,000
44,000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
REGULAR
Birthdate Analysis | life insurance
-
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
HOCKEY
Birthdate Analysis | life insurance
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
REGULAR HOCKEY
&
Birthdate Analysis | life insurance
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
REGULAR HOCKEY
&
ANIMATION DOESN’T WORK
IN THIS SLIDE DECKVERSION
Birthdate Analysis | life insurance
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
REGULAR HOCKEY
&
Birthdate Analysis | life insurance
Average Birthdate
158
“June 7”
Average Birthdate
185
“July 4”
&
Birthdate Analysis | life insurance
Average Birthdate
158
“June 7”
Average Birthdate
(27)
days less than average
&
Birthdate Analysis | life insurance
Average Birthdate
158
“June 7”
Average Birthdate
(14.3%)
lower than average
&
Birthdate Analysis | life insurance
Most Common Birthdate
1
“January 1”
Most Common Birthdate
227
“August 15”
&
Birthdate Analysis | life insurance
Most Common Birthdate
0.70%
“January 1”
Most Common Birthdate
0.32%
“August 15”
&
Birthdate Analysis | life insurance
Least Common Birthdate
349
“December 15”
Least Common Birthdate
360
“December 26”
&
Birthdate Analysis | life insurance
Least Common Birthdate
0.11%
“December 15”
Least Common Birthdate
0.23%
“December 26”
&
Does the effect exist?
MEAN SHIFTED BY 14%
Birthdate Analysis | life insurance
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
MOSTLY ALIGN TO
NUMBER OF DAYS÷MONTH
&
Birthdate Analysis | life insurance
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
HOCKEY DISPLAYS AN
OBVIOUS DOWNWARD TREND
&
Isn’t this just data analysis?
BUT…
Relative Age Effect,Visualized
9 years,
11 months,
364 days
9 years,
0 months,
0 days
9 years,
6 months,
0 days
Relative Age Effect, Rethought
9 years,
11 months,
364 days
9 years,
0 months,
0 days
9 years,
6 months,
0 days
Relative Age Effect, Rethought
9 years,
11 months,
364 days
9 years,
0 months,
0 days
9 years,
6 months,
0 days
Relative Height Effect?
COLLEGE FRESHMEN
VS
NHL
1/26/1961
26
convert to
11,739
NHL HEIGHTS
4,271
COLLEGE HEIGHTS
IFYOU WERE UNLUCKY
BY BIRTH DAY,WEREYOU
LUCKY IN GENETICS?
Height Analysis | life insurance
71.0
71.5
72.0
72.5
73.0
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
&
Height Analysis | life insurance
-0.25
-0.20
-0.15
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
0.25
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Height Analysis | life insurance
-0.25
-0.20
-0.15
-0.10
-0.05
0.00
0.05
0.10
0.15
0.20
0.25
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Birthdate Analysis | life insurance
November & December
PLAYERS
(821)
less players than average
November & December
HEIGHT
(211”)
shorter than average
Birthdate Analysis | life insurance
November & December
PLAYERS
(5%)
less players than average
November & December
HEIGHT
(0.03%)
shorter than average
Birthdate Analysis | life insurance
November & December
PLAYERS
(228)
less players than average
November & December
HEIGHT
(211”)
shorter than average
Birthdate Analysis | life insurance
November & December
PLAYERS
(5%)
less players than average
November & December
HEIGHT
0.005%
taller than average
Wrapping Up
RELATIVE HEIGHT EFFECTRELATIVE AGE EFFECT
26
Wrapping Up
RELATIVE HEIGHT EFFECTRELATIVE AGE EFFECT
26
PROVEN
Wrapping Up
RELATIVE HEIGHT EFFECTRELATIVE AGE EFFECT
26
PROVEN MAYBE?
Wrapping Up
RELATIVE HEIGHT EFFECTRELATIVE AGE EFFECT
26
YOU ARE LUCKY
ONE WAY OR THE OTHER
PROVEN MAYBE?
…who is defying the odds?
WHAT ARE HIS CHARACTERISTICS?
…who is defying the odds?
SCOTT NICHOL
365 5’8” (16/22)
…who is defying the odds?
SCOTT NICHOL
Scott was a player who had to work hard for
everything in his career, and he will bring
energy, enthusiasm and work ethic to this job.
365 5’8” (16/22)
Areas for Future Research
COUNTRY DATAHEIGHT RESEARCHYOUTH HOCKEY DATA
1/26/1961
26
convert to
Questions?
?
APPENDIX
GRAPHS, DATA
Birthdate Analysis | life insurance
-
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
REGULAR HOCKEY
&
Birthdate Analysis | life insurance
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
COLLEGE HOCKEY
&

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Relative Age Effect in Hockey