Covid Whistleblower: Predicting Pandemics & Exposing the CIA and Peter Daszak’s Alliance With China
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So. I think most people have concluded that the creation of COVID was probably not what they told us. It probably didn't evolve naturally out of a pangolin in a seafood market. And that the Wuhan Institute of Virology probably played a role. The U.S. government played a role. But it is impossible to find anyone, or has been for us anyway, to find anyone who has kind of like direct connection to any of the main players here. None of them will do an interview. None. You were the vice president of the EcoHealth Alliance. You're a former military guy, tied to the Intel world. You worked at a federal nuclear lab in New Mexico for years. And then you wind up, and you're a scientist, PhD, and then you wind up
working for EcoHealth Alliance in New York City. You think it's like this World Wildlife Fund operation designed to like track diseases among wildlife globally and protect the wildlife, protect the people. It's like kind of a crunchy outfit. It's do-gooders basically. You show up there, you help them raise a bunch of money from the feds and you become the vice president. And then you discover it's not what you thought. So that's the story that you told me at breakfast, which is an amazing story. Thank you again for coming. I'm going to bow out now and let you continue the story from there, assuming I've been faithful in my rendition of it so far.
That's perfectly accurate. And thank you for having me. This is sort of like a dream of mine.
Oh, well, I'm so excited you're here. And because this has been gnawing at me. You know, where did COVID come from? And how was the US government implicated? It clearly was, but you never meet anyone who can say that they know the players, but you do.
So with that, you show up there, you become VP of EcoHealth Alliance, the now famous EcoHealth Alliance. And when did you start to realize this wasn't the World Wildlife Fund?
shortly after I was working there. So I was hired as a senior scientist to take over a, well, I learned after the fact, I sort of lied to, but it was a failing department that was doing predictive forecasting and analytics. And after I brought in all that money from the Department of Defense, I actually sort of saved EcoHealth Alliance. It was financially on the rocks. That $4 million really transformed the organization. And with that and my expertise in technology, I was actually improving the systems and technology company-wide. Peter Daszak, who is the president or CEO of Equal Health Alliance, liked everything that I was doing. He was very impressed.
Peter Daszak is like a figure out of history now. I mean, Peter Daszak is like at the very center of COVID.
Oh, absolutely. And we'll get to that. So Peter promotes me to vice president. And then I started attending executive meetings and I get involved in all the different other aspects of the company or at least visibility to what's going on. The main driver of funding of Equal Health Alliance was from this program called Predict. And Predict was funded by USAID to go out and conduct global surveillance of infectious diseases to predict and forecast emerging pandemics. At least that's what they were telling everyone they were going to do.
That seems like a virtuous thing to do, by the way.
No, and it seemed completely virtuous. And I had actually been doing that type of research my entire career, at least as a scientist and engineer. And I was doing that type of work at the National Laboratory. I continued that work funded by the Defense Threat Reduction Agency when I was at Equal Alliance. That's where the first big check comes from for $4.6 million. And once I'm promoted and I'm looking at this USAID predict program, I decided to go dig into the literature and all the technical reports to see what this is and how it actually works. And I read through this phone book of material. And I assess that it's a giant boondoggle. There's no way that they're going to be able to predict or forecast infectious diseases.
They weren't collecting enough samples globally or in the countries where they were collecting them.
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