From National Democratic Redistricting Committee <[email protected]>
Subject This is how we chose our redistricting battlegrounds
Date August 4, 2021 4:01 PM
  Links have been removed from this email. Learn more in the FAQ.
  Links have been removed from this email. Learn more in the FAQ.
John: We chose some of our redistricting battlegrounds based on which states have the least competitive districts relative to statewide elections -- that is, where politicians are least accountable to voters.

Now a new analysis confirms our thinking. The four states with districts most out of line with their state’s elections are all on our list of battlegrounds.

>>> [link removed]

The citizens of these states deserve to be able to choose leaders who actually represent them; they deserve fair maps . So do the citizens of Texas, Louisiana, Florida, Ohio, and Minnesota, which are also on the less competitive side -- and all of which are among our battlegrounds.

With all these states (and more!) on our list, we clearly have our work cut out for us. Can you make a quick donation to help us fight for fairness across the country?

>>> [link removed]

Thanks,
Team NDRC



DONATE>>> [link removed]

Since 2017, the NDRC has executed a comprehensive redistricting strategy that shifts the redistricting power, creating fair districts where Democrats can compete. Our victories have been made possible by our strong community of grassroots supporters.

If you want to receive periodic updates from the NDRC on our fight for fair maps, text MAPS to 36787. Text HELP for help, STOP to end. Msg & Data rates may apply. Privacy Policy. [[link removed]]



Paid for by the National Democratic Redistricting Committee.

Twitter: [link removed]
Facebook: [link removed]
Instagram: [link removed]

National Democratic Redistricting Committee
700 13th Street NW, Suite 600
Washington, DC xxxxxx
United States

Click here if you'd like to receive fewer emails from the NDRC: [link removed]

unsubscribe: [link removed]
Screenshot of the email generated on import

Message Analysis