Rival Candidate Spreads Fake News Attacks Against Anti-Lockdown Hero Shelley Luther

Shelley Luther, the candidate for Texas’ Senate District 30, is beginning to face heat from her rivals in the Senate seat’s special election.

One of her opponents, Drew Springer, the State Representative for Texas’s 68th District, called her out for supposed hypocrisy on the Wuhan virus lockdowns.

On Facebook he commented, “Shelley Luther sang a different tune about forced COVID-19 shutdowns before she realized she could use it for her political benefit.

While she thought her record could be deleted from Facebook, there was only so long she could hide. #ShutdownShelley”

Springer referred to a comment Luther made on March 16 where she said “Just my opinion. If some major cities are closing down building where large gatherings occur, then EVERY city should. The problem will not fix if some people are out and about.”

However, several users commenting on Springer’s Facebook post were quick to point out some nuances in Luther’s comments.

The main gist of their comments was that Luther said that it didn’t make any sense for a few venues to remain open and others not be closed.  In essence, she was calling for policy consistency, not for selective enforcement of lockdowns.

Luther made a name for herself earlier this year when she resisted the city of Dallas’ shutdown order and continued operating her business in defiance of this ordinance.

She would later face jail time for her refusal to comply but would later be pardoned by Texas Governor Greg Abbott.

Luther has received endorsements from organizations such as Texas Gun Rights PAC for her staunch liberty activism and commitment to American principles such as the Second Amendment.

The Dallas salon owner is one of the more high-profile state level candidates running for office and has become a national figure of resistance against the Wuhan virus lockdowns.

A Luther victory would represent a major win for Texas conservatives who have been disappointed with the legislative body’s performance over the years.

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