Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Why Nate Silver is Famous
Search
Adam Hyland
March 27, 2013
1
120
Why Nate Silver is Famous
A short talk on the process of data visualization and public communication. Also jokes.
Adam Hyland
March 27, 2013
Tweet
Share
More Decks by Adam Hyland
See All by Adam Hyland
Here Comes (a significant fraction of) Everybody
protonk
0
75
Boston Data Swap: Data Vis Under Uncertainty
protonk
0
53
Data Visualization under Uncertainty
protonk
0
760
Phillips Academy Wikipedia Introduction
protonk
0
87
Measuring Quality Content
protonk
2
76
Featured
See All Featured
Thoughts on Productivity
jonyablonski
69
4.8k
How to Ace a Technical Interview
jacobian
279
23k
Designing for Performance
lara
610
69k
Art, The Web, and Tiny UX
lynnandtonic
302
21k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
34
6k
For a Future-Friendly Web
brad_frost
179
9.9k
Git: the NoSQL Database
bkeepers
PRO
431
65k
A Tale of Four Properties
chriscoyier
160
23k
The Art of Programming - Codeland 2020
erikaheidi
55
13k
GraphQLの誤解/rethinking-graphql
sonatard
71
11k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.8k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
53
2.9k
Transcript
A Bracingly Technical Talk
Why is Nate Silver Famous? Adam Hyland
From my forthcoming book: Why Nate Silver is Famous and
13 other Data Science Truisms
Alternate title: Why Nate Silver is Famous and You are
Not
Alternate title: I’ve Named My Fists “The Signal” and “The
Noise” and if You Don’t Stop Showing Me Titles I’ll Bring the Noise
That’s Enough
Nate Silver is Famous... • So what? • Implications for
data vis • What has been dropped from poblano to the Grey Lady • We have to take a journey...
fivethirtyeight.com
Vis or Data? • Empirics? • Not the first •
Princeton • UC Boulder • Electoralvote.com • etc.
Excel! • Model weights • General election
What evolved?
Matures a bit
Impact? • Mixed up with change in data-driven election journalism
• Everybody gives you a local linear regression now! • Make a hard problem (which is secretly kinda easy) look easy