Explaining Increasingly Bizarre Politics

As we start to digest another transformative political shock, it’s an appropriate moment to announce our next title – which tries to make sense of the last one.

‘Explaining Cameron’s Catastrophe’, to be released in January 2017, is the next in the popular election series by Sir Robert Worcester, Roger Mortimore, Paul Baines and Mark Gill.

It will use expert analyses of hundreds of surveys and focus groups run by Ipsos MORI to make sense of the UK’s 2016 EU referendum: how we got here; the context, content and process; lessons from 1975; what remain did wrong; why the leave campaign was so successful; voters attitudes; and the aftermath. They also show what the 2016 referendum result, and life without the EU, means for the future of the UK.

SIR ROBERT WORCESTER is the founder of Ipsos MORI. ROGER MORTIMORE is Director of Political Analysis at Ipsos MORI and Professor of Public Opinion and Political Analysis at King’s College London. PAUL BAINES is Professor of Political Marketing at Cranfield University and a specialist in the application of marketing in politics. MARK GILL advises governments and organisations around the world on public opinion research.

Alastair Stewart, OBE, said of the previous title in the series: “Another masterpiece from the Master, making sense of psephology in an accessible and well-written fashion. Apart from getting the story right, he also makes a valuable contribution to understanding why the ‘numbers game’ is difficult, and why it matters.”

Now we just need one explaining President Trump…

Advertisements
Leave a comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: