Campaign for change to make sure seats match votes,

12 Dec 2019

Make Votes Matter polling prior to the election showed that 35% of people were likely to vote tactically

CAMPAIGN FOR PR - FAIR VOTES MATTER

This is a symptom of our out-of-date, 'one-party-takes-all' system.

We need real change to make sure all votes count equally.

In 2017* it took over 197,000 votes to elect ONE Lib Dem MP, compared to just under 28,000 for an SNP MP, 49,000 for a Labour and 43,000 for a Conservative MP and over 500,000 for a Green MP and even more for UKIP. with none.

Today Make Votes Matter have launched a new Petition, I want seats to match votes! for Proportional Representation.

Whatever the outcome of this election, Parliament is very unlikely to accurately represent what we voted for, which is desperately damaging to people, planet and politics.

Thousands of people have already signed the Make Votes Matter petition, calling on Parliament and our new MPs to back a change from First Past the Post to Proportional Representation.

Add your name to demand equal votes and please share on Facebook and Twitter.

The more people sign over the coming days, the more we can build this movement in the new year.

Once you've signed, please share it on social media to get it trending. Let's make this huge!

 

I want seats to match votes!

Source: Make Votes Matter*

END

This website uses cookies

Like most websites, this site uses cookies. Some are required to make it work, while others are used for statistical or marketing purposes. If you choose not to allow cookies some features may not be available, such as content from other websites. Please read our Cookie Policy for more information.

Essential cookies enable basic functions and are necessary for the website to function properly.
Statistics cookies collect information anonymously. This information helps us to understand how our visitors use our website.
Marketing cookies are used by third parties or publishers to display personalized advertisements. They do this by tracking visitors across websites.