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Analysis of
“Lies,
damned lies
and statistics
(about TED
Talks)”
TED Talk
By
On the TED website, we can find over a full week of
TEDTalk videos, over 1.3 million words of
transcripts and millions of user ratings. And that's a
huge amount of data
If you took all this data and put it through statistical
analysis, could you reverse engineer a TEDTalk?
Could you create the ultimate TEDTalk and the worst
possible TEDTalk that they would still let you get away
with?
To find this out, we need to look at three things: The
topic that we should choose, how we should deliver
it and the visuals onstage
There's a whole range of topics we can choose, but we
should choose wisely, because our topic strongly
correlates with how users will react to our talk
The topic:
List of top 10 words that statistically stick out in
the most favorite TEDTalks and in the least
favorite TEDTalks
Talk about how French
coffee will spread
happiness in our
brains is great
Talk about project
involving oxygen,
girls, aircraft is not so
good
The most favorite TEDTalks are those that feature topics
we can connect with, both easily and deeply, such as
happiness, our own body, food, emotions
The more technical topics such as architecture,
materials and, strangely enough, men, those are not
good topics to talk about
How should we deliver our talk?
 The most favorite TEDTalks are on average over 50
percent longer than the least favourite ones
 It holds true for all ranking lists on TED.com except if we
want to have a talk that's beautiful, inspiring or
funny. Then, we should be brief
 But other than that, talk until they drag us off the stage
There are few rules to obey found out by comparing the
statistics of four-word phrases that appear more often in
the most favorite TEDTalks as opposed to the least
favorite TEDTalks
Rule 1
Rule 2
Rule 3
Visuals
The most obvious visual thing on stage is the speaker
Analysis on
The next most important thing in visuals is the mood
onstage. Color plays a very important role. Color closely
correlates with the ratings that talks get on the website.
Fascinating talks contain a statistically high amount of
exactly this blue color much more than the average
TEDTalk
Ingenious TEDTalks, much more this green color
A tool to create your own TEDTalk, the TEDPad. It is a
matrix of 100 specifically selected, highly curated
sentences that you can easily piece together to get your
own TEDTalk.
The white version for very
good TEDTalks, about
creativity, human genius
A black version for really
bad TEDTalks, mostly about
blogs, politics and stuff
So, download it and have fun with it
What decision to choose?
(Or)
Enjoy designing your own ultimate and worst
possible TEDTalks and be inspired for next year to
create this
INSIGHTS
AND
RELEVANCE
TO
MANAGERS
To find the best
and worst of data
statistics, we need
to look at three
things:
The topic that we
should choose,
how we should
deliver it and the
visuals onstage
What Managers
need to
realize?
Create a new tool
or use the existing
tool to use the
statistics by
understanding the
patterns to make
right decisions
What Managers
need to do?
By Dheepika C
Connect with me@ LinkedIn

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Analysis of "Lies, damned lies and statistics (about TEDTalks) - Sebastian Wernicke"

  • 1. Analysis of “Lies, damned lies and statistics (about TED Talks)” TED Talk By
  • 2. On the TED website, we can find over a full week of TEDTalk videos, over 1.3 million words of transcripts and millions of user ratings. And that's a huge amount of data
  • 3. If you took all this data and put it through statistical analysis, could you reverse engineer a TEDTalk?
  • 4. Could you create the ultimate TEDTalk and the worst possible TEDTalk that they would still let you get away with?
  • 5. To find this out, we need to look at three things: The topic that we should choose, how we should deliver it and the visuals onstage
  • 6. There's a whole range of topics we can choose, but we should choose wisely, because our topic strongly correlates with how users will react to our talk The topic:
  • 7. List of top 10 words that statistically stick out in the most favorite TEDTalks and in the least favorite TEDTalks
  • 8. Talk about how French coffee will spread happiness in our brains is great Talk about project involving oxygen, girls, aircraft is not so good
  • 9. The most favorite TEDTalks are those that feature topics we can connect with, both easily and deeply, such as happiness, our own body, food, emotions The more technical topics such as architecture, materials and, strangely enough, men, those are not good topics to talk about
  • 10. How should we deliver our talk?  The most favorite TEDTalks are on average over 50 percent longer than the least favourite ones  It holds true for all ranking lists on TED.com except if we want to have a talk that's beautiful, inspiring or funny. Then, we should be brief  But other than that, talk until they drag us off the stage
  • 11. There are few rules to obey found out by comparing the statistics of four-word phrases that appear more often in the most favorite TEDTalks as opposed to the least favorite TEDTalks
  • 15. Visuals The most obvious visual thing on stage is the speaker Analysis on
  • 16. The next most important thing in visuals is the mood onstage. Color plays a very important role. Color closely correlates with the ratings that talks get on the website.
  • 17. Fascinating talks contain a statistically high amount of exactly this blue color much more than the average TEDTalk
  • 18. Ingenious TEDTalks, much more this green color
  • 19. A tool to create your own TEDTalk, the TEDPad. It is a matrix of 100 specifically selected, highly curated sentences that you can easily piece together to get your own TEDTalk.
  • 20. The white version for very good TEDTalks, about creativity, human genius A black version for really bad TEDTalks, mostly about blogs, politics and stuff So, download it and have fun with it What decision to choose? (Or)
  • 21. Enjoy designing your own ultimate and worst possible TEDTalks and be inspired for next year to create this
  • 23. To find the best and worst of data statistics, we need to look at three things: The topic that we should choose, how we should deliver it and the visuals onstage What Managers need to realize?
  • 24. Create a new tool or use the existing tool to use the statistics by understanding the patterns to make right decisions What Managers need to do?
  • 25. By Dheepika C Connect with me@ LinkedIn