Polling – Page 3

UK Opinion Poll Tracker #6 – 4th June 2017

June 6, 2017 By Nigel Marriott

This is my last update of the opinion before election day on June 8th. I will use my analysis of these polls to update my 2017 General Election Seat Predictions and you should read that post in conjunction with this one.

The latest situation is that the Conservatives now only hold a 7% lead over Labour which is down 2% from last week and only just above what they had in 2015. Labour’s vote share has recovered significantly to narrow the Conservatives lead and Labour are now capable under some scenarios of depriving the Conservatives of a majority. However, it has now become clear that pollsters are dividing into two groups and I have written a separate post that explores the implications of this and I strongly recommend you read that. This post reports on all posters combined rather than separate blocs.

UK General Election 2017 Forecast #5 – 5 steps to making sense of the latest polls!

June 4, 2017 By Nigel Marriott

Unlike the 2015 general election when the polls were essentially static (& wrong) throughout the election, the 2017 general election has seen some of the most extraordinary volatility in the polls that I can remember. If you are a Conservative supporter, the narrowing lead over Labour must be leading to anxiety and changed underwear. If you are a Labour supporter, you are probably starting to dream “can we? will we?!” It doesn’t help that your state of mind will depend on which poll you are reading and your memories of the pollsters’ failure in 2015 so how can you make sense of what is going on. I will show you how in 5 steps and to heighten the drama, I will leave the punchline to the end!

UK Opinion Poll Tracker #4 – My Welsh Barometer Poll Forecast Was Correct!

April 24, 2017 By Nigel Marriott

If you are familiar with my UK Opinion Poll Tracker, you will know that one of my key charts for making predictions of the 2017 General Election is R1 which shows the changes in vote share by region.

As I have explained, I track the regional breakdowns to produce this chart. Every now and again, a full on poll takes place to explore a region in more detail and this allows me to check how good chart R1 is.

Segmentation #1 – Who has more in common? Leave & Trump voters or Remain & Clinton voters? Analysis of Sentiments

February 22, 2017 By Nigel Marriott

My wife is American and so it should be easy to guess what we were talking about on the morning of 9^th November 2016. Donald Trump’s victory in the US Presidential election was a surprise to many people and prompted much discussion on the similarities between Trump voters and the Leave voters in June. However, my wife remarked that people may be looking at this the wrong way round and perhaps the correct question to ask is whether there is greater similarity between Clinton & Remain voters.

Identifying similarities and differences between groups of people is a cornerstone of the field of market research known as customer segmentation. It is one of my favourite areas of statistics and can be used regardless of whether the data comes from a survey or from customer records. When my wife posed her question I immediately thought of 2 ways I could answer this using segmentation methods.

Look at how people feel (their sentiments) which is what this post is about.
Look at how people voted (their behaviour) which I will cover in another post “Who has more in common? Leave & Trump voters or Remain & Clinton voters? Analysis of voting behaviour”

By-Elections #1 – How to predict outcomes in the Brexit era

February 19, 2017 By Nigel Marriott

Since the UK voted to leave the EU on 23^rd June 2016, there have been 3 contested parliamentary by-elections (Witney, Richmond Park, Sleaford & North Hykeham) and one uncontested by-election (Batley & Spen which was the late Jo Cox’s seat). Many commentators have analysed these results to see how the referendum result has impacted on parliamentary voting intentions. Whatever voter dynamics are revealed, it is reasonable to assume that they are likely to influence future by-elections. In late October 2016 just after the Witney result, I realised it could be possible to build a by-election model by combining two sources of data.

My own estimates of the Leave & Remain votes in each of the 650 parliamentary constituencies where I calculated that 400 out of 650 seats voted Leave.
My interpretation of the Lord Ashcroft “exit poll” carried out on 21^st to 23^rd June 2016 and published immediately after the results were announced.

At the time, I described my by-election modelling approach in a youtube clip and that is worth listening to. I have made some changes to my model since then so this post is the most up to date version of my model. I will illustrate the basic principle using the Witney by-election (David Cameron’s former seat) of 20^th October 2016 where the top line numbers are: