Glenn Greenwald on the “Morally Unconscionable” US Industry of Dog Experimentation

Content warning: This video includes graphic images and descriptions of aminal abuse. 

Animal experimentation is on the rise in the United States. The Department of Agriculture reports that nearly 61,000 dogs were used in the US for experimentation in 2016 alone, and the total reported number of animals used for experimentation was more than 820,000. A major new investigation by The Intercept examines the poorly regulated and highly profitable industry of breeding dogs for the sole purpose of experimenting on them in the US. The investigation reveals the horrors of the dog experimentation industry at one of the three largest firms in the US that sells beagles to research labs: Ridglan Farms. We speak with The Intercept’s Glenn Greenwald in Rio de Janeiro to discuss his in-depth investigation, headlined “Bred to Suffer: Inside the Barbaric US Industry of Dog Experimentation.”


AMY GOODMAN: If you can talk, Glenn Greenwald, about the investigation you did, Bred to Suffer: Inside the Barbaric U.S. Industry of Dog Experimentation.

GLENN GREENWALD: A lot of people, Amy, including people who follow animal rights issues somewhat closely, don’t even realize that it is legal in the United States to conduct scientific experimentation on dogs. But not only is it legal; it is pervasive. In 2016, just in terms of what was reported — and the numbers are definitely far greater — 60,000 dogs were subjected to all kinds of experimentations.

Not just medical experimentations where pathogens are injected into their brains by drilling holes in their head, but where they are force-fed commercial products like laundry detergent right into the stomach using oral garage, the same same technique used to make fois gras, in which just placed into their stomach are commercial products that cause them to vomit and go into seizures and comas, just for pure commercial testing.

And even researchers say that most of the time, these experiments produce little to no value because the…

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