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Thanks to Clive for spotting this very useful report, and also to Paul for his overview link.

 

People will notice that one of the complaints made to the UK Statistics Authority highlighted at the end of the Report came from Full Fact. Full Fact is the independent fact-checking organisation oriented to claims based on official statistics, and their Director, Will Moy will speak at this weekend’s conference on the relevant issues and their plans to operate an 18 hour a day, 7 day a week analysis and rebuttal centre in the 6 week run up to the election.

 

He is just one of the speakers in the afternoon’s Parallel Sessions on public understanding of statistics, health statistics, effects of welfare reform, and a community agenda for ethnic statistics. The morning focuses on general issue about the  statistics needed for good policy.

 

More information on the website: http://www.radstats.org.uk/

 

Best,

Jeff

 

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Dr. Jeff Evans

Emeritus Reader in Adults' Mathematical Learning

Mathematics & Statistics Group

School of Science & Technology

Middlesex University

London NW4 4BT, UK

e-mail: [log in to unmask]    

Website: : http://www.mdx.ac.uk/aboutus/staffdirectory/jeff-evans.aspx

 

*****

 

From: email list for Radical Statistics [mailto:[log in to unmask]] On Behalf Of Paul Spicker
Sent: 02 March 2015 13:39
To: [log in to unmask]
Subject: Re: Dip stats

 

It's helpful to have the material brought together in a single file, but it's not exactly new.  Chris Grayling was warned as a Shadow Minister  by the Chair of the UK Statistics Authority that his misuse of statistics was likely “to damage public trust in official statistics”.  His response was that “As an opposition party, we don’t make the statistics.” Now he does.  

I commented on several of the examples in this report two years ago: 

http://theconversation.com/welfare-dependency-the-use-and-abuse-of-statistics-14183

I concluded that piece with this:

"to show that a misrepresentation is deliberate - that someone is lying - we would have to be able to show that they really knew what they were saying was untrue when they said it. The wilder and more unreasonable the statement, the harder that is to prove."

Paul Spicker

On 02/03/2015 13:09, Clive Durdle wrote:

Comments?
 
http://dpac.uk.net/wp-content/uploads/2014/05/DPAC-Report-on-DWP-Abuse-of-Statistics-Final-22-June-2013.pdf
 
 
 
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