Analysis of 3 ways to spot a bad statistic by mona chalabi

1. Analysis of 3 ways to spot a bad
statistic by Mona Chalabi
By Darpanraj Deoghare

2. Who Is She
One of the finest work of her is
to find out how many iraqis
had been forced from their
homes as a result of the war &
their needs .

3. What is Statistics
Sometimes it's hard
to know what
statistics are worthy
of trust. But we
shouldn't count out
stats altogether ...
instead, we should
learn to look behind
them

4. Instances of bad statistics
A bill to measure racial
inequality which states that
government Money should
not be used to collect data
on racial segregation.

5. 3 questions to spot bad statistics
 Can we see Uncertainty ?
 Can we see ourselves in data ?
 How was the data collected ?

6. Checking uncertainty in numbers
Taking real data set & turning them
into hand-drawn visualizations For
example, instead of finding out the
probability of getting the flu in any
given month, we can see the rough
distribution .

7. lot of data visualizations will
overstate certainty, and it works --
these charts can numb our brains to
criticism. When you hear a statistic,
you might feel skeptical. As soon as
it's buried in a chart, it feels like
some kind of objective science, and
it's not.

8. The point of these
visualizations is also to remind
people of some really important
statistical concepts, concepts
like averages.

9. Can we see ourselves in data ?
The point of this isn't necessarily
that every single dataset has to
relate specifically to you.
The point of asking where you fit in
is to get as much context as
possible. So it's about zooming out
from one data point and seeing how
it changes over time.

10. Insights

11. How was the data collected ?
 You just keep checking everything. Find out how they
collected the numbers. Find out if you're seeing
everything on the chart you need to see.
 But don't give up on the numbers altogether, because if
you do, we'll be making public policy decisions in the
dark, using nothing but private interests to guide us.

12. Relevance to Indian
Managers

13.  Managers get an understanding of where
their companies' survey lacks. They can
try to expand their sample space and
make it more diverse and bigger which
will help make better inferences and lead
to better strategies and projects.
 The main point of any presentation is for
people to understand the important facts,
and not just numbers. Managers must
learn the art of communication and data
interpretation. It is important to
understand what the numbers are saying.

14. Submitted for Internship
"Data Analytics " under
Professor Sameer Mathur ,
IIML
By, Darpanraj Deoghare

15. Thank You