Lifesaver Pamela Anderson Sends State Legislators Lifesaving ‘Methane Offset Starter Kits’
For Immediate Release:
August 26, 2021
Contact:
Megan Wiltsie 202-483-7382
As climate crisis–fueled wildfires blaze throughout the state, PETA Honorary Director Pamela Anderson is once again racing to save lives, this time in real life. The former Baywatch star has donated $100,000 worth of vegan food for PETA’s Methane Offset Starter Kits, which the group is sending to members of the California legislature, each containing not only food—that, unlike meat and dairy, doesn’t contribute to the climate crisis—but also a book of matches emblazoned with the message “Code Red! Wildfires Are Raging. Not Vegan? You’re Basically Striking the Match.”
The United Nations (U.N.) climate panel has warned that widespread reductions in greenhouse-gas emissions are needed to forestall a “code red for humanity.” Since animal agriculture is responsible for nearly one-fifth of all human-induced greenhouse-gas emissions and uses massive amounts of water, contributing to droughts and the spread of wildfires, PETA and Anderson have packed the kits with tofu, nondairy creamer, vegan dark chocolate, vegan jerky, soybean seeds, starter recipes, and more to help legislators switch to fire-fighting, planet-saving vegan meals.
“Our planet is burning because of animal agriculture, so if you’re not vegan, you might as well have lit the match yourself,” says PETA President Ingrid Newkirk. “PETA’s kits will help state legislators lead by example and save animals and the Earth by going vegan.”
In addition to harming the planet past the point of no return, the meat, egg, and dairy industries are abysmally cruel to animals, who spend miserable lives in intensive confinement before their throats are slit in slaughterhouses.
PETA—whose motto reads, in part, that “animals are not ours to eat or abuse in any other way”—opposes speciesism, a human-supremacist worldview. For more information, please visit PETA.org or follow the group on Twitter, Facebook, or Instagram.
