If, as
someone outside the policy bubble, you want to policy to change, I reckon you need
both evidence and influence. And you
need to produce both on the terms valued by policy makers.
This blog
started with thinking about ‘evidence-based policy making’, and wondering what
people class as ‘evidence’. It was amazing to see people switch from talking
about the importance of real experiences and hearing people’s stories to
talking about statistics as soon as the word ‘evidence’ was introduced. In research terms, quantitative research findings = evidence.
For all my
theorising, I can be extremely pragmatic. I might not equate ‘evidence’ with ‘statistics’
– but life is too short and the policy issues are too urgent to try to persuade people who make policy that ‘evidence’
has other meanings.
As someone
outside the policy bubble, evidence in the form of statistics is a fantastic
tool to have up your sleeve. It is easier to just accept that, by and large, evidence (statistics)
plays at least a partial role in policy making.
Depending on the civil servant, Minister and policy area, statistics will play
a greater or lesser role in their decisions. Your ideas will be taken far more seriously when backed by evidence (statistics), if only because the person you talk to can wave your evidence under other people’s noses to justify their interest in and support of your idea.
I’m genuinely
not sure how far statistics drive the policy-making process, and how much they
are used to justify pre-existing beliefs (what is often called ‘policy-based
evidence’. Either way, statistics are
important to us outsiders for at least as long as policy makers equate evidence with statistics.
What I do
know is that changing policies relies on both evidence and influence.
So how do
you get influence? You tell stories. You
explain impacts on real people’s real lives. In social research terms, you use
qualitative research findings. You use
theories of culture and power to work out how to present those stories most
effectively.
So –
evidence and influence, numbers and stories, yin and yang. If you want to turn your
ideas into ideas that will be adopted by policy makers, learn to use both.
As
researchers interested in social change, I’d argue we need to make sure we
value both kinds of research and learn how to use them together for maximum policy
impact.
As disabled
activists, I’d argue we need to be canny and remember who we need to influence, how
they make decisions and what will
make it easiest for them to adopt our ideas.
As citizens of Wales, I'd argue we need to know how policy gets made in Wales - after all policy decisions in Cardiff effect everyone's everday lives.
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