SlideShare a Scribd company logo
1
OUTLINE:
1. Introduction
2. Polling errors
3. How to identify good and bad polls
4. Important concepts around polls
5. Poll of polls
6. The 2019 European Parliament elections on politico.eu
7. How to report polls
POLLS HAVE A BAD
REPUTATION
WITH GOOD REASON?
3
INTRODUCTION
THE POLLS ARE AL(L)RIGHT
02-04
4
THE POLLING ERROR
1. Can be expected to be around 2-2.2
percentage points
2. Is very consistent over time and across
elections.
3. Can be factored in.
4. Has to be clearly communicated.
5
THE POLLS ARE AL(L)RIGHT
Source: Jennings and Wlezien (2018) https://doi.org/10.1038/s41562-018-0315-6
POLL ERRORS ACROSS
ELECTORAL HISTORY
a: the absolute error for all
parties/candidates.
• Hollow grey circle: error for each party
• Black circle: mean absolute error across
all parties
b: the mean absolute error.
c: the mean absolute error on the margin.
d: the mean absolute value of the log odds
ratio.
e: the variance of the mean absolute error.
f: the variance of the mean absolute error
6
THE POLLS ARE AL(L)RIGHT
Source: Jennings and Wlezien (2018) https://doi.org/10.1038/s41562-018-0315-6
POLLING ERROR FOR THE AUSTRIAN
PARLIAMENTARY ELECTION
• Average 1.35 percentage points
• Polls with larger sample size and shorter
field period perform better
7
THE POLLS ARE AL(L)RIGHT
POLLING ERROR IN
DENMARK
• 1.36 percentage points polling error
• Timing matters
• Method matters
• Quality matters
8
THE POLLS ARE AL(L)RIGHT
9
BUT WHAT ABOUT TRUMP AND BREXIT?
Brexit:
• The day before the referendum poll of polls showed 48% for remain 45% for leave, but 10 undecided!
THE POLLS ARE AL(L)RIGHT
Source: https://en.wikipedia.org/wiki/Opinion_polling_for_the_United_Kingdom_European_Union_membership_referendum
A CLOSER LOOK
2016 US Presidential election:
• Chances 70:30 – trump would win every third election. Would you get on a plane if every third would crash?
• National polls were correct for popular vote, but electoral college is what matters.
• Polls in key swing states with above average polling error overall 5 percentage points absolute error on average.
• Trump won the election with very small margin in important states.
10
BUT WHAT ABOUT TRUMP AND BREXIT?
Brexit:
• The weeks before the referendum poll of polls showed 48% for remain 45% for leave, but 10 undecided! All polls:
THE POLLS ARE AL(L)RIGHT
Source: https://en.wikipedia.org/wiki/Opinion_polling_for_the_United_Kingdom_European_Union_membership_referendum
A CLOSER LOOK
11
HOW TO IDENTIFY GOOD AND BAD POLLS
6 KEY CRITERIA
• Source: In most cases a news outlet commissions the polls and publishes it in an article, trustworthy newspaper?
• Field work: When was the poll conducted?
• Sample size: How many people where interviewed? Rule of thumb: >800
• Methodology: Was the poll conducted online, in face-to-face interviews or via telephone?
• Number of undecided voters: Do the figures add up to 100% or is the % of undecided published?
THE POLLS ARE AL(L)RIGHT
“REPRESENTATIVE”
12
• Each person in the group in question has the same
change to be interviewed.
• Has nothing to do with sample size
• Has nothing to do with population size either
• How to chose representative sample?
• Two methods: random sampling or quota sampling
• E.g. randomly drawn phone numbers
• Set quotas for gender, age, etc., which have to be
met in the polling region, used in online panels.
• Weighting for underrepresented , non-response
adjustment.
A good (=representative) small sample is better than a
bad large sample!
To taste a soup you don’t have to empty the pot, a
spoonful will do!
IMPORTANT CONCEPTS WHEN REPORTING ABOUT POLLS
THE POLLS ARE AL(L)RIGHT
THE MARGIN OF ERROR CONFIDENCE INTERVAL
13
• tells you how many percentage points your results will
differ from the real population value.
• the range of values below and above the sample
statistic in a confidence interval.
• For simple random sample approximated:
• For the percentage value “p” of a specific party in a poll
• Therefore, smaller for smaller parties.
• a way to show what the uncertainty is with a certain
poll.
• E.g. 1000 people interviewed, party A at 33% → Margin
of error is +/- 2.9 percentage points → Confidence
interval of 30.1 and 35.9.
• if the poll is repeated using the same techniques, 95%
of the calculated intervals will include the “true”
population value.
IMPORTANT CONCEPTS WHEN REPORTING ABOUT POLLS
THE POLLS ARE AL(L)RIGHT
Note: https://www.langerresearch.com/moe/ offers a margin of error calculator
𝑀𝑜𝐸 ≅
0.98
√𝑛
𝑀𝑜𝐸 = 1.96
0.33(1 − 0.33)
1000
= 2.91% → +/- MoE → Confidence Interval
𝑀𝑜𝐸 = 1.96
𝑝(1 − 𝑝)
𝑛
14
OTHER ERRORS
THE POLLS ARE AL(L)RIGHT
Other sources of potential bias:
• Sampling Error – because you don’t poll the entire population
• Coverage Error – some groups can’t be polled
• Measurement Error – bad wording of question, bad instruments etc.
• Non-Response Error – bias because of who responds to poll and who doesn’t.
• All together = Total Survey Error
15
AN EXAMPLE FOR THE MEASUREMENT ERROR
THE POLLS ARE AL(L)RIGHT
Source: https://twitter.com/alemannoEU
WHY A POLL OF POLLS IS SUPERIOR
05
16
PARABLE OF THE THREE
RINGS (OR POLLSTERS)
Which poll is the one to trust?
17
WHICH POLL IS THE ONE TO TRUST?
#POLLOFPOLLS
IS THERE A HOUSE
EFFECT?
• Polls ahead of the Swedish parliament
election 2018 by pollster reveal significant
differences.
• YouGov and Sentio constantly
overestimated Sweden democrats.
• Their method? – Online polls only
• In 2014 all pollsters underestimated
Sweden Democrats, YouGov and Sentio to
a lesser extent
• Shy Sweden Democrats-supporters?
• Less reluctant to reveal voting intention in
“anonymous” online polls?
• In 2018 overcorrected or did response
behavior change?
18
#POLLOFPOLLS
COMBINING POLLS REVEALS TRENDS AND OUTLIERS
19
#POLLOFPOLLS
Source: pollofpolls.eu/FR
NOT ONLY FOR VOTING INTENTION
• Don’t cherry-pick one poll, where there
are more.
• Our aggregation model uses the so-called
Kalman filtering approach + smoothing to
track the trends in the polls.
Kalman filter can be explained with
“GPS”-analogy:
• Support for a party is the “true” location
• In your Map-app, the blue circle around
your GPS-location is the uncertainty,
every new signal (poll) from the satellite
(polling firm) improves the location and
who will find your way.
THE 2019 EUROPEAN PARLIAMENT ELECTIONS
06
20
POLITICO EUROPEAN ELECTIONS HUB
21
#EP2019
Source: politico.eu/EU2019
POLITICO EUROPEAN
ELECTIONS HUB
• The only daily updated seat estimate
• Interactive
• Coalition builder
• Figures with and without UK
• Filter by country
• Map view
22
#EP2019
Source: politico.eu/EU2019
OUR SEAT PROJECTION OVER TIME
23
#EP2019
• Relatively stable
• Clear from beginning that
EPP+S&D < 50% of seats
• Biggest shifts due to group changes of
individual parties
• Brexit analysis
• Challenge was how to deal with new
groups and (unofficially) announced
group changes.
EUROPEAN PARLIAMENT ELECTION RESULTS
24
#EP2019
Source: politico.eu/EU2019
28 COUNTRY PAGES
25
HOW ACCURATE WERE THE POLLS?
• Overall very good
• Big upsets in Slovakia (PS+SPOLU), Lithuania
(LVZS)
• Green parties underestimated in Ireland, Austria,
Germany.
• Almost no polls in the Netherlands
• No polls in Luxembourg
• No polls after Ibizagate broke in Austria
#EP2019
POLLING ERROR ACROSS
ALL 28 EU COUNTRIES
EUROPEAN PARLIAMENT ELECTION RESULTS
26
#EP2019
Source: politico.eu/EU2019
LAST UPDATED 21 JUNE
HOW TO REPORT POLLS
07
27
HOW TO REPORT POLLS
1. Check for key criteria
2. Report key criteria (polling firm,
commissioned by, field period, sample
size, method)
3. Look at figures with margin of error in
mind
4. Report trend compared to last poll from
same polling firm
5. Don’t overinterpret small number
1. One percentage point lead is not a
lead
2. One percentage point change is not a
real change but statistical noise
28
#CASESTUDY
29
FROM POLLS TO HEADLINES
“Italians in 2019 hate chicken, Greek salad overtaking fish!”
When looking at polling results, always look for the PQRST:
P. Polling Firm: Cornelius Hirsch? Never heard of that polling firm, also can’t find a website or another published poll.
Q. Question: Chicken was not polled, international respondents.
R. Results: Others and/or undecided are not reported
S. Sample size: <800 people polled, <400 declared voting intention
T. Timing: One day polling period in June 2019.
#CASESTUDY
30
FROM POLLS TO HEADLINES
(Bloomberg) — Greece's main opposition new democracy party would win parliamentary elections with a 9 percentage
point lead if they were held now, according to a pulse RC poll for Skai TV.
New democracy, a conservative party, would get from 31.5% to 36.5% of the vote compared with 22.5% to 27.5% for the
governing leftist SYRIZA party, according to the poll. The survey is the first since prime minister Alexis Tsipras called a
snap national ballot following his party’s defeat in European elections a week ago.
The center-left movement for change would come third with 6.5% to 9.5% of the vote, the communist party of Greece
fourth with 4.5% to 6.6%, the far-right golden dawn party fifth with 4% to 6% and Greek solution, a new nationalist party,
placed sixth with 3% to 5%. Mera25, the new party of former finance minister Yanis Varoufakis would receive from 2% to
4% of the vote. Parties need to reach the threshold of 3% to elect a member to parliament.
Pulse RC surveyed 1,358 people from may 30 to June 1. The margin of error was +/- [XY] Calculate margin of error!
Key characteristcs?
#CASESTUDY
Source: https://nationalpost.com/news/world/new-democracy-wins-first-poll-since-tsiprass-snap-election-call
INVENT A TITLE
POLL OF POLLS FOR THE 2019 GREEK SNAP ELECTION
31
#CASESTUDY
Source: pollofpolls.eu/GR
ONE POLL CAN BE AN OUTLIER, IT’S ALWAYS BETTER TO LOOK AT THE POLL OF POLLS
Interpretation?
Significant lead? → Larger than 2 x MoE
(conservative estimate 2 percentage points)
→ Yes
Increasing trend? In Jan – May 2019 ND
around 36-37%, now 39% → “Slightly”
Golden Dawn significantly decreasing.
Electoral threshold in Greece of 4%, small
parties significantly below or above?
32
RECAP
Polls are
…accurate, with an average margin of error of around 2 percentage points.
…only a snapshot in time.
…more insightful when aggregated, revealing trends and outliers.
…one tool of many to assess an election campaign.
…like a fine perfume, you should smell it, but not drink it.
Surveys on twitter or on websites, where anyone can respond as often as they like, are “clickers” – they are not “polls”.
To Remember
• Margin of Error depends on sample size and not on population size.
• Confidence Interval shows uncertainty.
• Representativeness depends on chance to get interviewed, not on sample size or population size.
THANK YOU FOR YOUR ATTENTION
LET’S STAY IN TOUCH
@VollCornHirsch
chirsch@politico.eu
pollofpolls@politico.eu
POLLING ERROR BY PARTY
34
#EP2019

More Related Content

What's hot

Ipsos MORI Final General Election Poll
Ipsos MORI Final General Election PollIpsos MORI Final General Election Poll
Ipsos MORI Final General Election Poll
Ipsos UK
 
Ipsos MORI Political Monitor July 2016
Ipsos MORI Political Monitor July 2016Ipsos MORI Political Monitor July 2016
Ipsos MORI Political Monitor July 2016
Ipsos UK
 
Ipsos MORI Political Monitor - November 2016
Ipsos MORI Political Monitor - November 2016Ipsos MORI Political Monitor - November 2016
Ipsos MORI Political Monitor - November 2016
Ipsos UK
 
Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)
Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)
Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)
Ipsos Public Affairs
 
Ipsos MORI Political Monitor: August 2016
Ipsos MORI Political Monitor: August 2016Ipsos MORI Political Monitor: August 2016
Ipsos MORI Political Monitor: August 2016
Ipsos UK
 
Ipsos MORI Political Monitor: November 2015
Ipsos MORI Political Monitor: November 2015Ipsos MORI Political Monitor: November 2015
Ipsos MORI Political Monitor: November 2015
Ipsos UK
 
Public Opinion Landscape: Election 2016 - Iowa Caucuses
Public Opinion Landscape: Election 2016 - Iowa CaucusesPublic Opinion Landscape: Election 2016 - Iowa Caucuses
Public Opinion Landscape: Election 2016 - Iowa Caucuses
GloverParkGroup
 
Ipsos MORI Political Monitor October 2015 - Views on Europe & Economic Optimism
Ipsos MORI Political Monitor October 2015 - Views on Europe & Economic OptimismIpsos MORI Political Monitor October 2015 - Views on Europe & Economic Optimism
Ipsos MORI Political Monitor October 2015 - Views on Europe & Economic Optimism
Ipsos UK
 
Ipsos MORI Political Monitor June 2015: Labour Leadership Election
Ipsos MORI Political Monitor June 2015: Labour Leadership ElectionIpsos MORI Political Monitor June 2015: Labour Leadership Election
Ipsos MORI Political Monitor June 2015: Labour Leadership Election
Ipsos UK
 
Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...
Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...
Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...
Ipsos UK
 
Ipsos MORI Political Monitor - February 2016
Ipsos MORI Political Monitor - February 2016Ipsos MORI Political Monitor - February 2016
Ipsos MORI Political Monitor - February 2016
Ipsos UK
 
Public Opinion Landscape: Brexit
Public Opinion Landscape: BrexitPublic Opinion Landscape: Brexit
Public Opinion Landscape: Brexit
Sarah Bonn
 
Ipsos MORI Political Monitor: December 2015
Ipsos MORI Political Monitor: December 2015Ipsos MORI Political Monitor: December 2015
Ipsos MORI Political Monitor: December 2015
Ipsos UK
 
Public Opinion Landscape: Economy 5.25.16
Public Opinion Landscape: Economy 5.25.16Public Opinion Landscape: Economy 5.25.16
Public Opinion Landscape: Economy 5.25.16
GloverParkGroup
 
Ipsos MORI December Political Monitor 2018
Ipsos MORI December Political Monitor 2018Ipsos MORI December Political Monitor 2018
Ipsos MORI December Political Monitor 2018
Ipsos UK
 
The Public Opinion Landscape
The Public Opinion Landscape   The Public Opinion Landscape
The Public Opinion Landscape
Sarah Bonn
 
Ipsos MORI Political Monitor - March 2016
Ipsos MORI Political Monitor - March 2016Ipsos MORI Political Monitor - March 2016
Ipsos MORI Political Monitor - March 2016
Ipsos UK
 
Ipsos MORI Political Monitor: September 2015
Ipsos MORI Political Monitor: September 2015Ipsos MORI Political Monitor: September 2015
Ipsos MORI Political Monitor: September 2015
Ipsos UK
 
Olivier Desbarres - EU REFERENDUM SURVEY RESULTS
Olivier Desbarres - EU REFERENDUM SURVEY RESULTSOlivier Desbarres - EU REFERENDUM SURVEY RESULTS
Olivier Desbarres - EU REFERENDUM SURVEY RESULTS
Olivier Desbarres
 
The Public Opinion Landscape: Election 2016
The Public Opinion Landscape: Election 2016The Public Opinion Landscape: Election 2016
The Public Opinion Landscape: Election 2016
GloverParkGroup
 

What's hot (20)

Ipsos MORI Final General Election Poll
Ipsos MORI Final General Election PollIpsos MORI Final General Election Poll
Ipsos MORI Final General Election Poll
 
Ipsos MORI Political Monitor July 2016
Ipsos MORI Political Monitor July 2016Ipsos MORI Political Monitor July 2016
Ipsos MORI Political Monitor July 2016
 
Ipsos MORI Political Monitor - November 2016
Ipsos MORI Political Monitor - November 2016Ipsos MORI Political Monitor - November 2016
Ipsos MORI Political Monitor - November 2016
 
Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)
Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)
Reuters/Ipsos Core Political Survey: Presidential Approval Tracker (03/18/2020)
 
Ipsos MORI Political Monitor: August 2016
Ipsos MORI Political Monitor: August 2016Ipsos MORI Political Monitor: August 2016
Ipsos MORI Political Monitor: August 2016
 
Ipsos MORI Political Monitor: November 2015
Ipsos MORI Political Monitor: November 2015Ipsos MORI Political Monitor: November 2015
Ipsos MORI Political Monitor: November 2015
 
Public Opinion Landscape: Election 2016 - Iowa Caucuses
Public Opinion Landscape: Election 2016 - Iowa CaucusesPublic Opinion Landscape: Election 2016 - Iowa Caucuses
Public Opinion Landscape: Election 2016 - Iowa Caucuses
 
Ipsos MORI Political Monitor October 2015 - Views on Europe & Economic Optimism
Ipsos MORI Political Monitor October 2015 - Views on Europe & Economic OptimismIpsos MORI Political Monitor October 2015 - Views on Europe & Economic Optimism
Ipsos MORI Political Monitor October 2015 - Views on Europe & Economic Optimism
 
Ipsos MORI Political Monitor June 2015: Labour Leadership Election
Ipsos MORI Political Monitor June 2015: Labour Leadership ElectionIpsos MORI Political Monitor June 2015: Labour Leadership Election
Ipsos MORI Political Monitor June 2015: Labour Leadership Election
 
Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...
Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...
Ipsos MORI June 2015 Political Monitor: EU, Leader and government satisfactio...
 
Ipsos MORI Political Monitor - February 2016
Ipsos MORI Political Monitor - February 2016Ipsos MORI Political Monitor - February 2016
Ipsos MORI Political Monitor - February 2016
 
Public Opinion Landscape: Brexit
Public Opinion Landscape: BrexitPublic Opinion Landscape: Brexit
Public Opinion Landscape: Brexit
 
Ipsos MORI Political Monitor: December 2015
Ipsos MORI Political Monitor: December 2015Ipsos MORI Political Monitor: December 2015
Ipsos MORI Political Monitor: December 2015
 
Public Opinion Landscape: Economy 5.25.16
Public Opinion Landscape: Economy 5.25.16Public Opinion Landscape: Economy 5.25.16
Public Opinion Landscape: Economy 5.25.16
 
Ipsos MORI December Political Monitor 2018
Ipsos MORI December Political Monitor 2018Ipsos MORI December Political Monitor 2018
Ipsos MORI December Political Monitor 2018
 
The Public Opinion Landscape
The Public Opinion Landscape   The Public Opinion Landscape
The Public Opinion Landscape
 
Ipsos MORI Political Monitor - March 2016
Ipsos MORI Political Monitor - March 2016Ipsos MORI Political Monitor - March 2016
Ipsos MORI Political Monitor - March 2016
 
Ipsos MORI Political Monitor: September 2015
Ipsos MORI Political Monitor: September 2015Ipsos MORI Political Monitor: September 2015
Ipsos MORI Political Monitor: September 2015
 
Olivier Desbarres - EU REFERENDUM SURVEY RESULTS
Olivier Desbarres - EU REFERENDUM SURVEY RESULTSOlivier Desbarres - EU REFERENDUM SURVEY RESULTS
Olivier Desbarres - EU REFERENDUM SURVEY RESULTS
 
The Public Opinion Landscape: Election 2016
The Public Opinion Landscape: Election 2016The Public Opinion Landscape: Election 2016
The Public Opinion Landscape: Election 2016
 

Similar to Polling data to assess election campaigns: Why polling aggregation helps you avoid cherrypicking polls and falling for outliers

RedC Poll, Richard Colwell- Autumn Seminar 2010
RedC Poll, Richard Colwell- Autumn Seminar 2010RedC Poll, Richard Colwell- Autumn Seminar 2010
RedC Poll, Richard Colwell- Autumn Seminar 2010ExSite
 
The Death of Polling?
The Death of Polling?The Death of Polling?
The Death of Polling?
Ipsos UK
 
A Journalist’s Guide to Survey Research and Election Polls by Cliff Zuskin
A Journalist’s Guide to Survey Research and Election Polls by Cliff ZuskinA Journalist’s Guide to Survey Research and Election Polls by Cliff Zuskin
A Journalist’s Guide to Survey Research and Election Polls by Cliff ZuskinFincher Consulting
 
Ipsos MORI General Election Briefing: The Final Week
Ipsos MORI General Election Briefing: The Final WeekIpsos MORI General Election Briefing: The Final Week
Ipsos MORI General Election Briefing: The Final Week
Ipsos UK
 
Ipsos MORI General Election 2015 Briefing
Ipsos MORI General Election 2015 BriefingIpsos MORI General Election 2015 Briefing
Ipsos MORI General Election 2015 Briefing
Ipsos UK
 
Ipsos MORI's initial view on polls accuracy in the UK's 2015 election
Ipsos MORI's initial view on polls accuracy in the UK's 2015 electionIpsos MORI's initial view on polls accuracy in the UK's 2015 election
Ipsos MORI's initial view on polls accuracy in the UK's 2015 election
Ipsos UK
 
Global Voting Trends - Parliamentary systems
Global Voting Trends - Parliamentary systemsGlobal Voting Trends - Parliamentary systems
Global Voting Trends - Parliamentary systems
GAD3_com
 
Beyond the Bubble - Labour Conference 2015
Beyond the Bubble - Labour Conference 2015Beyond the Bubble - Labour Conference 2015
Beyond the Bubble - Labour Conference 2015
Ipsos UK
 
General Election: One Year Out
General Election: One Year OutGeneral Election: One Year Out
General Election: One Year Out
Ipsos UK
 
Nigeria's February 14 elections : Popular opinions and attitudes
Nigeria's February 14 elections : Popular opinions and attitudesNigeria's February 14 elections : Popular opinions and attitudes
Nigeria's February 14 elections : Popular opinions and attitudes
Afrobarometer
 
Immigration: How Views Change
Immigration: How Views ChangeImmigration: How Views Change
Immigration: How Views Change
Ipsos UK
 
Ipsos MORI Political Monitor: May 2014 - Europe
Ipsos MORI Political Monitor: May 2014 - EuropeIpsos MORI Political Monitor: May 2014 - Europe
Ipsos MORI Political Monitor: May 2014 - Europe
Ipsos UK
 
Beyond the Bubble: Conservative Party Conference 2014
Beyond the Bubble: Conservative Party Conference 2014Beyond the Bubble: Conservative Party Conference 2014
Beyond the Bubble: Conservative Party Conference 2014
Ipsos UK
 
UJ survey on voters
UJ survey on voters UJ survey on voters
UJ survey on voters
SABC News
 
Attitudes to immigration: National issue or global challenge?
Attitudes to immigration: National issue or global challenge?Attitudes to immigration: National issue or global challenge?
Attitudes to immigration: National issue or global challenge?
Ipsos UK
 
Democracy and participation revision 2014
Democracy and participation revision 2014Democracy and participation revision 2014
Democracy and participation revision 2014
ajo909
 
December Political Monitor: Attitudes to coalitions_191214
December Political Monitor: Attitudes to coalitions_191214December Political Monitor: Attitudes to coalitions_191214
December Political Monitor: Attitudes to coalitions_191214
Ipsos UK
 
SBP Oct poll 2010 chart deck
SBP Oct poll 2010 chart deckSBP Oct poll 2010 chart deck
SBP Oct poll 2010 chart deckRichard Colwell
 
Sbp oct poll 2010 chart deck
Sbp oct poll 2010 chart deckSbp oct poll 2010 chart deck
Sbp oct poll 2010 chart deckRichard Colwell
 

Similar to Polling data to assess election campaigns: Why polling aggregation helps you avoid cherrypicking polls and falling for outliers (20)

RedC Poll, Richard Colwell- Autumn Seminar 2010
RedC Poll, Richard Colwell- Autumn Seminar 2010RedC Poll, Richard Colwell- Autumn Seminar 2010
RedC Poll, Richard Colwell- Autumn Seminar 2010
 
The Death of Polling?
The Death of Polling?The Death of Polling?
The Death of Polling?
 
A Journalist’s Guide to Survey Research and Election Polls by Cliff Zuskin
A Journalist’s Guide to Survey Research and Election Polls by Cliff ZuskinA Journalist’s Guide to Survey Research and Election Polls by Cliff Zuskin
A Journalist’s Guide to Survey Research and Election Polls by Cliff Zuskin
 
Ipsos MORI General Election Briefing: The Final Week
Ipsos MORI General Election Briefing: The Final WeekIpsos MORI General Election Briefing: The Final Week
Ipsos MORI General Election Briefing: The Final Week
 
Ipsos MORI General Election 2015 Briefing
Ipsos MORI General Election 2015 BriefingIpsos MORI General Election 2015 Briefing
Ipsos MORI General Election 2015 Briefing
 
Ipsos MORI's initial view on polls accuracy in the UK's 2015 election
Ipsos MORI's initial view on polls accuracy in the UK's 2015 electionIpsos MORI's initial view on polls accuracy in the UK's 2015 election
Ipsos MORI's initial view on polls accuracy in the UK's 2015 election
 
Global Voting Trends - Parliamentary systems
Global Voting Trends - Parliamentary systemsGlobal Voting Trends - Parliamentary systems
Global Voting Trends - Parliamentary systems
 
Beyond the Bubble - Labour Conference 2015
Beyond the Bubble - Labour Conference 2015Beyond the Bubble - Labour Conference 2015
Beyond the Bubble - Labour Conference 2015
 
General Election: One Year Out
General Election: One Year OutGeneral Election: One Year Out
General Election: One Year Out
 
SociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared ResourceSociologyExchange.co.uk Shared Resource
SociologyExchange.co.uk Shared Resource
 
Nigeria's February 14 elections : Popular opinions and attitudes
Nigeria's February 14 elections : Popular opinions and attitudesNigeria's February 14 elections : Popular opinions and attitudes
Nigeria's February 14 elections : Popular opinions and attitudes
 
Immigration: How Views Change
Immigration: How Views ChangeImmigration: How Views Change
Immigration: How Views Change
 
Ipsos MORI Political Monitor: May 2014 - Europe
Ipsos MORI Political Monitor: May 2014 - EuropeIpsos MORI Political Monitor: May 2014 - Europe
Ipsos MORI Political Monitor: May 2014 - Europe
 
Beyond the Bubble: Conservative Party Conference 2014
Beyond the Bubble: Conservative Party Conference 2014Beyond the Bubble: Conservative Party Conference 2014
Beyond the Bubble: Conservative Party Conference 2014
 
UJ survey on voters
UJ survey on voters UJ survey on voters
UJ survey on voters
 
Attitudes to immigration: National issue or global challenge?
Attitudes to immigration: National issue or global challenge?Attitudes to immigration: National issue or global challenge?
Attitudes to immigration: National issue or global challenge?
 
Democracy and participation revision 2014
Democracy and participation revision 2014Democracy and participation revision 2014
Democracy and participation revision 2014
 
December Political Monitor: Attitudes to coalitions_191214
December Political Monitor: Attitudes to coalitions_191214December Political Monitor: Attitudes to coalitions_191214
December Political Monitor: Attitudes to coalitions_191214
 
SBP Oct poll 2010 chart deck
SBP Oct poll 2010 chart deckSBP Oct poll 2010 chart deck
SBP Oct poll 2010 chart deck
 
Sbp oct poll 2010 chart deck
Sbp oct poll 2010 chart deckSbp oct poll 2010 chart deck
Sbp oct poll 2010 chart deck
 

More from Centre for Media Pluralism and Media Freedom

Digitisation, democracy and the regulation of personal data use for political...
Digitisation, democracy and the regulation of personal data use for political...Digitisation, democracy and the regulation of personal data use for political...
Digitisation, democracy and the regulation of personal data use for political...
Centre for Media Pluralism and Media Freedom
 
Cryptoparty: encryption and data security for journalists
Cryptoparty: encryption and data security for journalistsCryptoparty: encryption and data security for journalists
Cryptoparty: encryption and data security for journalists
Centre for Media Pluralism and Media Freedom
 
Press publishers’right: expanding copyright on news and information on the in...
Press publishers’right: expanding copyright on news and information on the in...Press publishers’right: expanding copyright on news and information on the in...
Press publishers’right: expanding copyright on news and information on the in...
Centre for Media Pluralism and Media Freedom
 
Social media manipulation: algorithms, bots and computational propaganda
Social media manipulation: algorithms, bots and computational propagandaSocial media manipulation: algorithms, bots and computational propaganda
Social media manipulation: algorithms, bots and computational propaganda
Centre for Media Pluralism and Media Freedom
 
Strengthening news media in the digital era: the EU approach
Strengthening news media in the digital era: the EU approachStrengthening news media in the digital era: the EU approach
Strengthening news media in the digital era: the EU approach
Centre for Media Pluralism and Media Freedom
 
Governing Communications Online - German Perspective
Governing Communications Online - German PerspectiveGoverning Communications Online - German Perspective
Governing Communications Online - German Perspective
Centre for Media Pluralism and Media Freedom
 
Journalism, Democracy, and the New Political Campaigns
Journalism, Democracy, and the New Political CampaignsJournalism, Democracy, and the New Political Campaigns
Journalism, Democracy, and the New Political Campaigns
Centre for Media Pluralism and Media Freedom
 
Is the algorithm reliable? The collaboration between technology and humans in...
Is the algorithm reliable? The collaboration between technology and humans in...Is the algorithm reliable? The collaboration between technology and humans in...
Is the algorithm reliable? The collaboration between technology and humans in...
Centre for Media Pluralism and Media Freedom
 
Fact-checking in the newsroom: best practices, open questions
Fact-checking in the newsroom: best practices, open questionsFact-checking in the newsroom: best practices, open questions
Fact-checking in the newsroom: best practices, open questions
Centre for Media Pluralism and Media Freedom
 
How to make the perfect citizen: China’s social credit system
How to make the perfect citizen: China’s social credit systemHow to make the perfect citizen: China’s social credit system
How to make the perfect citizen: China’s social credit system
Centre for Media Pluralism and Media Freedom
 
Artificial Intelligence, elections, media pluralism and media freedom
Artificial Intelligence, elections, media pluralism and media freedom Artificial Intelligence, elections, media pluralism and media freedom
Artificial Intelligence, elections, media pluralism and media freedom
Centre for Media Pluralism and Media Freedom
 
Media Pluralism in Central - Eastern Europe
Media Pluralism in Central - Eastern EuropeMedia Pluralism in Central - Eastern Europe
Media Pluralism in Central - Eastern Europe
Centre for Media Pluralism and Media Freedom
 
Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...
Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...
Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...
Centre for Media Pluralism and Media Freedom
 
Measuring Media Pluralism in Europe - Between Old Risk and New Threats
Measuring Media Pluralism in Europe - Between Old Risk and New ThreatsMeasuring Media Pluralism in Europe - Between Old Risk and New Threats
Measuring Media Pluralism in Europe - Between Old Risk and New Threats
Centre for Media Pluralism and Media Freedom
 
New Threats to Media Pluralism in the Digital Age
New Threats to Media Pluralism in the Digital AgeNew Threats to Media Pluralism in the Digital Age
New Threats to Media Pluralism in the Digital Age
Centre for Media Pluralism and Media Freedom
 
Political Control Over Media
Political Control Over MediaPolitical Control Over Media
Political Control Over Media
Centre for Media Pluralism and Media Freedom
 
Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...
Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...
Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...
Centre for Media Pluralism and Media Freedom
 
UNESCO's Internet Universality Indicators (IUIs) - Adeline Hulin
UNESCO's Internet Universality Indicators (IUIs) - Adeline HulinUNESCO's Internet Universality Indicators (IUIs) - Adeline Hulin
UNESCO's Internet Universality Indicators (IUIs) - Adeline Hulin
Centre for Media Pluralism and Media Freedom
 
Media Plurality and the Role of Regulators - Lubos Kuklis
Media Plurality and the Role of Regulators - Lubos KuklisMedia Plurality and the Role of Regulators - Lubos Kuklis
Media Plurality and the Role of Regulators - Lubos Kuklis
Centre for Media Pluralism and Media Freedom
 
Digital challenges to media pluralism - Urska Umek
Digital challenges to media pluralism - Urska UmekDigital challenges to media pluralism - Urska Umek
Digital challenges to media pluralism - Urska Umek
Centre for Media Pluralism and Media Freedom
 

More from Centre for Media Pluralism and Media Freedom (20)

Digitisation, democracy and the regulation of personal data use for political...
Digitisation, democracy and the regulation of personal data use for political...Digitisation, democracy and the regulation of personal data use for political...
Digitisation, democracy and the regulation of personal data use for political...
 
Cryptoparty: encryption and data security for journalists
Cryptoparty: encryption and data security for journalistsCryptoparty: encryption and data security for journalists
Cryptoparty: encryption and data security for journalists
 
Press publishers’right: expanding copyright on news and information on the in...
Press publishers’right: expanding copyright on news and information on the in...Press publishers’right: expanding copyright on news and information on the in...
Press publishers’right: expanding copyright on news and information on the in...
 
Social media manipulation: algorithms, bots and computational propaganda
Social media manipulation: algorithms, bots and computational propagandaSocial media manipulation: algorithms, bots and computational propaganda
Social media manipulation: algorithms, bots and computational propaganda
 
Strengthening news media in the digital era: the EU approach
Strengthening news media in the digital era: the EU approachStrengthening news media in the digital era: the EU approach
Strengthening news media in the digital era: the EU approach
 
Governing Communications Online - German Perspective
Governing Communications Online - German PerspectiveGoverning Communications Online - German Perspective
Governing Communications Online - German Perspective
 
Journalism, Democracy, and the New Political Campaigns
Journalism, Democracy, and the New Political CampaignsJournalism, Democracy, and the New Political Campaigns
Journalism, Democracy, and the New Political Campaigns
 
Is the algorithm reliable? The collaboration between technology and humans in...
Is the algorithm reliable? The collaboration between technology and humans in...Is the algorithm reliable? The collaboration between technology and humans in...
Is the algorithm reliable? The collaboration between technology and humans in...
 
Fact-checking in the newsroom: best practices, open questions
Fact-checking in the newsroom: best practices, open questionsFact-checking in the newsroom: best practices, open questions
Fact-checking in the newsroom: best practices, open questions
 
How to make the perfect citizen: China’s social credit system
How to make the perfect citizen: China’s social credit systemHow to make the perfect citizen: China’s social credit system
How to make the perfect citizen: China’s social credit system
 
Artificial Intelligence, elections, media pluralism and media freedom
Artificial Intelligence, elections, media pluralism and media freedom Artificial Intelligence, elections, media pluralism and media freedom
Artificial Intelligence, elections, media pluralism and media freedom
 
Media Pluralism in Central - Eastern Europe
Media Pluralism in Central - Eastern EuropeMedia Pluralism in Central - Eastern Europe
Media Pluralism in Central - Eastern Europe
 
Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...
Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...
Media Pluralism Monitor 2017 in EU28, FYRoM, Serbia and Turkey - Key Findings...
 
Measuring Media Pluralism in Europe - Between Old Risk and New Threats
Measuring Media Pluralism in Europe - Between Old Risk and New ThreatsMeasuring Media Pluralism in Europe - Between Old Risk and New Threats
Measuring Media Pluralism in Europe - Between Old Risk and New Threats
 
New Threats to Media Pluralism in the Digital Age
New Threats to Media Pluralism in the Digital AgeNew Threats to Media Pluralism in the Digital Age
New Threats to Media Pluralism in the Digital Age
 
Political Control Over Media
Political Control Over MediaPolitical Control Over Media
Political Control Over Media
 
Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...
Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...
Ensuring Media Pluralism and Media Freedom through Data Protection: the new d...
 
UNESCO's Internet Universality Indicators (IUIs) - Adeline Hulin
UNESCO's Internet Universality Indicators (IUIs) - Adeline HulinUNESCO's Internet Universality Indicators (IUIs) - Adeline Hulin
UNESCO's Internet Universality Indicators (IUIs) - Adeline Hulin
 
Media Plurality and the Role of Regulators - Lubos Kuklis
Media Plurality and the Role of Regulators - Lubos KuklisMedia Plurality and the Role of Regulators - Lubos Kuklis
Media Plurality and the Role of Regulators - Lubos Kuklis
 
Digital challenges to media pluralism - Urska Umek
Digital challenges to media pluralism - Urska UmekDigital challenges to media pluralism - Urska Umek
Digital challenges to media pluralism - Urska Umek
 

Recently uploaded

Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
joachimlavalley1
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Atul Kumar Singh
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
Vikramjit Singh
 
678020731-Sumas-y-Restas-Para-Colorear.pdf
678020731-Sumas-y-Restas-Para-Colorear.pdf678020731-Sumas-y-Restas-Para-Colorear.pdf
678020731-Sumas-y-Restas-Para-Colorear.pdf
CarlosHernanMontoyab2
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
Tamralipta Mahavidyalaya
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
camakaiclarkmusic
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
Anna Sz.
 
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
Levi Shapiro
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
beazzy04
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
timhan337
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
Nguyen Thanh Tu Collection
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
EverAndrsGuerraGuerr
 

Recently uploaded (20)

Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
Digital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and ResearchDigital Tools and AI for Teaching Learning and Research
Digital Tools and AI for Teaching Learning and Research
 
678020731-Sumas-y-Restas-Para-Colorear.pdf
678020731-Sumas-y-Restas-Para-Colorear.pdf678020731-Sumas-y-Restas-Para-Colorear.pdf
678020731-Sumas-y-Restas-Para-Colorear.pdf
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
 
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
 

Polling data to assess election campaigns: Why polling aggregation helps you avoid cherrypicking polls and falling for outliers

  • 1. 1
  • 2. OUTLINE: 1. Introduction 2. Polling errors 3. How to identify good and bad polls 4. Important concepts around polls 5. Poll of polls 6. The 2019 European Parliament elections on politico.eu 7. How to report polls
  • 3. POLLS HAVE A BAD REPUTATION WITH GOOD REASON? 3 INTRODUCTION
  • 4. THE POLLS ARE AL(L)RIGHT 02-04 4
  • 5. THE POLLING ERROR 1. Can be expected to be around 2-2.2 percentage points 2. Is very consistent over time and across elections. 3. Can be factored in. 4. Has to be clearly communicated. 5 THE POLLS ARE AL(L)RIGHT Source: Jennings and Wlezien (2018) https://doi.org/10.1038/s41562-018-0315-6
  • 6. POLL ERRORS ACROSS ELECTORAL HISTORY a: the absolute error for all parties/candidates. • Hollow grey circle: error for each party • Black circle: mean absolute error across all parties b: the mean absolute error. c: the mean absolute error on the margin. d: the mean absolute value of the log odds ratio. e: the variance of the mean absolute error. f: the variance of the mean absolute error 6 THE POLLS ARE AL(L)RIGHT Source: Jennings and Wlezien (2018) https://doi.org/10.1038/s41562-018-0315-6
  • 7. POLLING ERROR FOR THE AUSTRIAN PARLIAMENTARY ELECTION • Average 1.35 percentage points • Polls with larger sample size and shorter field period perform better 7 THE POLLS ARE AL(L)RIGHT
  • 8. POLLING ERROR IN DENMARK • 1.36 percentage points polling error • Timing matters • Method matters • Quality matters 8 THE POLLS ARE AL(L)RIGHT
  • 9. 9 BUT WHAT ABOUT TRUMP AND BREXIT? Brexit: • The day before the referendum poll of polls showed 48% for remain 45% for leave, but 10 undecided! THE POLLS ARE AL(L)RIGHT Source: https://en.wikipedia.org/wiki/Opinion_polling_for_the_United_Kingdom_European_Union_membership_referendum A CLOSER LOOK 2016 US Presidential election: • Chances 70:30 – trump would win every third election. Would you get on a plane if every third would crash? • National polls were correct for popular vote, but electoral college is what matters. • Polls in key swing states with above average polling error overall 5 percentage points absolute error on average. • Trump won the election with very small margin in important states.
  • 10. 10 BUT WHAT ABOUT TRUMP AND BREXIT? Brexit: • The weeks before the referendum poll of polls showed 48% for remain 45% for leave, but 10 undecided! All polls: THE POLLS ARE AL(L)RIGHT Source: https://en.wikipedia.org/wiki/Opinion_polling_for_the_United_Kingdom_European_Union_membership_referendum A CLOSER LOOK
  • 11. 11 HOW TO IDENTIFY GOOD AND BAD POLLS 6 KEY CRITERIA • Source: In most cases a news outlet commissions the polls and publishes it in an article, trustworthy newspaper? • Field work: When was the poll conducted? • Sample size: How many people where interviewed? Rule of thumb: >800 • Methodology: Was the poll conducted online, in face-to-face interviews or via telephone? • Number of undecided voters: Do the figures add up to 100% or is the % of undecided published? THE POLLS ARE AL(L)RIGHT
  • 12. “REPRESENTATIVE” 12 • Each person in the group in question has the same change to be interviewed. • Has nothing to do with sample size • Has nothing to do with population size either • How to chose representative sample? • Two methods: random sampling or quota sampling • E.g. randomly drawn phone numbers • Set quotas for gender, age, etc., which have to be met in the polling region, used in online panels. • Weighting for underrepresented , non-response adjustment. A good (=representative) small sample is better than a bad large sample! To taste a soup you don’t have to empty the pot, a spoonful will do! IMPORTANT CONCEPTS WHEN REPORTING ABOUT POLLS THE POLLS ARE AL(L)RIGHT
  • 13. THE MARGIN OF ERROR CONFIDENCE INTERVAL 13 • tells you how many percentage points your results will differ from the real population value. • the range of values below and above the sample statistic in a confidence interval. • For simple random sample approximated: • For the percentage value “p” of a specific party in a poll • Therefore, smaller for smaller parties. • a way to show what the uncertainty is with a certain poll. • E.g. 1000 people interviewed, party A at 33% → Margin of error is +/- 2.9 percentage points → Confidence interval of 30.1 and 35.9. • if the poll is repeated using the same techniques, 95% of the calculated intervals will include the “true” population value. IMPORTANT CONCEPTS WHEN REPORTING ABOUT POLLS THE POLLS ARE AL(L)RIGHT Note: https://www.langerresearch.com/moe/ offers a margin of error calculator 𝑀𝑜𝐸 ≅ 0.98 √𝑛 𝑀𝑜𝐸 = 1.96 0.33(1 − 0.33) 1000 = 2.91% → +/- MoE → Confidence Interval 𝑀𝑜𝐸 = 1.96 𝑝(1 − 𝑝) 𝑛
  • 14. 14 OTHER ERRORS THE POLLS ARE AL(L)RIGHT Other sources of potential bias: • Sampling Error – because you don’t poll the entire population • Coverage Error – some groups can’t be polled • Measurement Error – bad wording of question, bad instruments etc. • Non-Response Error – bias because of who responds to poll and who doesn’t. • All together = Total Survey Error
  • 15. 15 AN EXAMPLE FOR THE MEASUREMENT ERROR THE POLLS ARE AL(L)RIGHT Source: https://twitter.com/alemannoEU
  • 16. WHY A POLL OF POLLS IS SUPERIOR 05 16
  • 17. PARABLE OF THE THREE RINGS (OR POLLSTERS) Which poll is the one to trust? 17 WHICH POLL IS THE ONE TO TRUST? #POLLOFPOLLS
  • 18. IS THERE A HOUSE EFFECT? • Polls ahead of the Swedish parliament election 2018 by pollster reveal significant differences. • YouGov and Sentio constantly overestimated Sweden democrats. • Their method? – Online polls only • In 2014 all pollsters underestimated Sweden Democrats, YouGov and Sentio to a lesser extent • Shy Sweden Democrats-supporters? • Less reluctant to reveal voting intention in “anonymous” online polls? • In 2018 overcorrected or did response behavior change? 18 #POLLOFPOLLS
  • 19. COMBINING POLLS REVEALS TRENDS AND OUTLIERS 19 #POLLOFPOLLS Source: pollofpolls.eu/FR NOT ONLY FOR VOTING INTENTION • Don’t cherry-pick one poll, where there are more. • Our aggregation model uses the so-called Kalman filtering approach + smoothing to track the trends in the polls. Kalman filter can be explained with “GPS”-analogy: • Support for a party is the “true” location • In your Map-app, the blue circle around your GPS-location is the uncertainty, every new signal (poll) from the satellite (polling firm) improves the location and who will find your way.
  • 20. THE 2019 EUROPEAN PARLIAMENT ELECTIONS 06 20
  • 21. POLITICO EUROPEAN ELECTIONS HUB 21 #EP2019 Source: politico.eu/EU2019
  • 22. POLITICO EUROPEAN ELECTIONS HUB • The only daily updated seat estimate • Interactive • Coalition builder • Figures with and without UK • Filter by country • Map view 22 #EP2019 Source: politico.eu/EU2019
  • 23. OUR SEAT PROJECTION OVER TIME 23 #EP2019 • Relatively stable • Clear from beginning that EPP+S&D < 50% of seats • Biggest shifts due to group changes of individual parties • Brexit analysis • Challenge was how to deal with new groups and (unofficially) announced group changes.
  • 24. EUROPEAN PARLIAMENT ELECTION RESULTS 24 #EP2019 Source: politico.eu/EU2019 28 COUNTRY PAGES
  • 25. 25 HOW ACCURATE WERE THE POLLS? • Overall very good • Big upsets in Slovakia (PS+SPOLU), Lithuania (LVZS) • Green parties underestimated in Ireland, Austria, Germany. • Almost no polls in the Netherlands • No polls in Luxembourg • No polls after Ibizagate broke in Austria #EP2019 POLLING ERROR ACROSS ALL 28 EU COUNTRIES
  • 26. EUROPEAN PARLIAMENT ELECTION RESULTS 26 #EP2019 Source: politico.eu/EU2019 LAST UPDATED 21 JUNE
  • 27. HOW TO REPORT POLLS 07 27
  • 28. HOW TO REPORT POLLS 1. Check for key criteria 2. Report key criteria (polling firm, commissioned by, field period, sample size, method) 3. Look at figures with margin of error in mind 4. Report trend compared to last poll from same polling firm 5. Don’t overinterpret small number 1. One percentage point lead is not a lead 2. One percentage point change is not a real change but statistical noise 28 #CASESTUDY
  • 29. 29 FROM POLLS TO HEADLINES “Italians in 2019 hate chicken, Greek salad overtaking fish!” When looking at polling results, always look for the PQRST: P. Polling Firm: Cornelius Hirsch? Never heard of that polling firm, also can’t find a website or another published poll. Q. Question: Chicken was not polled, international respondents. R. Results: Others and/or undecided are not reported S. Sample size: <800 people polled, <400 declared voting intention T. Timing: One day polling period in June 2019. #CASESTUDY
  • 30. 30 FROM POLLS TO HEADLINES (Bloomberg) — Greece's main opposition new democracy party would win parliamentary elections with a 9 percentage point lead if they were held now, according to a pulse RC poll for Skai TV. New democracy, a conservative party, would get from 31.5% to 36.5% of the vote compared with 22.5% to 27.5% for the governing leftist SYRIZA party, according to the poll. The survey is the first since prime minister Alexis Tsipras called a snap national ballot following his party’s defeat in European elections a week ago. The center-left movement for change would come third with 6.5% to 9.5% of the vote, the communist party of Greece fourth with 4.5% to 6.6%, the far-right golden dawn party fifth with 4% to 6% and Greek solution, a new nationalist party, placed sixth with 3% to 5%. Mera25, the new party of former finance minister Yanis Varoufakis would receive from 2% to 4% of the vote. Parties need to reach the threshold of 3% to elect a member to parliament. Pulse RC surveyed 1,358 people from may 30 to June 1. The margin of error was +/- [XY] Calculate margin of error! Key characteristcs? #CASESTUDY Source: https://nationalpost.com/news/world/new-democracy-wins-first-poll-since-tsiprass-snap-election-call INVENT A TITLE
  • 31. POLL OF POLLS FOR THE 2019 GREEK SNAP ELECTION 31 #CASESTUDY Source: pollofpolls.eu/GR ONE POLL CAN BE AN OUTLIER, IT’S ALWAYS BETTER TO LOOK AT THE POLL OF POLLS Interpretation? Significant lead? → Larger than 2 x MoE (conservative estimate 2 percentage points) → Yes Increasing trend? In Jan – May 2019 ND around 36-37%, now 39% → “Slightly” Golden Dawn significantly decreasing. Electoral threshold in Greece of 4%, small parties significantly below or above?
  • 32. 32 RECAP Polls are …accurate, with an average margin of error of around 2 percentage points. …only a snapshot in time. …more insightful when aggregated, revealing trends and outliers. …one tool of many to assess an election campaign. …like a fine perfume, you should smell it, but not drink it. Surveys on twitter or on websites, where anyone can respond as often as they like, are “clickers” – they are not “polls”. To Remember • Margin of Error depends on sample size and not on population size. • Confidence Interval shows uncertainty. • Representativeness depends on chance to get interviewed, not on sample size or population size.
  • 33. THANK YOU FOR YOUR ATTENTION LET’S STAY IN TOUCH @VollCornHirsch chirsch@politico.eu pollofpolls@politico.eu
  • 34. POLLING ERROR BY PARTY 34 #EP2019