This presentation is based on the ted conference of mona chalabi titled "3 ways to spot a bad statistic "

1. 3 ways to spot a bad
statistic
M C

2. Mona Chalabi
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. Insights

4. Concept of Statistics

5. 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.
nt

6. 3 questions to spot bad statistics
● Can we see Uncertainty ?
● Can we see ourselves in
data ?
● How was the collected ?

7. 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 .

8. Way of collecting data
matters .

9. Government Statistics are
better than private statistics.

10. Why ?
Private companies wants only the
right numbers while Government
statisticians are totally different.

11. Why Data lie ?
Opt-in poll :- The traditional way of polling is probability sampling,
where we contact people selected at random from a list of the population.

12. How These
insights are
relevant to a
manager ?

13. Managers often needs to take
crucial decisons at various stages
in the organisation . “Bad statistics “
can lead to failure hence spotting
these at earlier stage is essential .

14. ● Spotting source of data can
help managers realize that a
proper representation of
people is required in the poll to
collect data . .

15. Thank you
-Nishant Kumar