Steve Martocci

If you, if you get caught up in your algorithm on kind of, The supplement health Twitter, you just see people making some pretty outlandish claims about the impact of certain supplements on their life.

If you, if you get caught up in your algorithm on kind of, The supplement health Twitter, you just see people making some pretty outlandish claims about the impact of certain supplements on their life.

If you, if you get caught up in your algorithm on kind of, The supplement health Twitter, you just see people making some pretty outlandish claims about the impact of certain supplements on their life.

And we need to start feeding that back into a system that can aggregate whether other people are having those experiences or just the loud voices on Twitter are having those experiences on X. Because those people stand out and people make decisions, as I said before, like 51%. of people buying a health or wellness product because they saw it on social media, that's real.

And we need to start feeding that back into a system that can aggregate whether other people are having those experiences or just the loud voices on Twitter are having those experiences on X. Because those people stand out and people make decisions, as I said before, like 51%. of people buying a health or wellness product because they saw it on social media, that's real.

And we need to start feeding that back into a system that can aggregate whether other people are having those experiences or just the loud voices on Twitter are having those experiences on X. Because those people stand out and people make decisions, as I said before, like 51%. of people buying a health or wellness product because they saw it on social media, that's real.

Even though the trust with them is not necessarily high, they are making these decisions. And so we can really find out whether or not these are working because some of these things are in complete contrast to what the medical world thinks. We need to build better data sets.

Even though the trust with them is not necessarily high, they are making these decisions. And so we can really find out whether or not these are working because some of these things are in complete contrast to what the medical world thinks. We need to build better data sets.

Even though the trust with them is not necessarily high, they are making these decisions. And so we can really find out whether or not these are working because some of these things are in complete contrast to what the medical world thinks. We need to build better data sets.

That came out recently. That was a FDA went after a brand for having a bunch of these natural supplements, having. Viagra in them and all that. And there was a scandal even in the kind of Amazon Basics world where they had tested some of their products and they weren't hitting the numbers that they said. There was a ginkgo biloba test that the FDA, I think, did where there was zero of the product.

That came out recently. That was a FDA went after a brand for having a bunch of these natural supplements, having. Viagra in them and all that. And there was a scandal even in the kind of Amazon Basics world where they had tested some of their products and they weren't hitting the numbers that they said. There was a ginkgo biloba test that the FDA, I think, did where there was zero of the product.

That came out recently. That was a FDA went after a brand for having a bunch of these natural supplements, having. Viagra in them and all that. And there was a scandal even in the kind of Amazon Basics world where they had tested some of their products and they weren't hitting the numbers that they said. There was a ginkgo biloba test that the FDA, I think, did where there was zero of the product.

There was zero ginkgo in the actual product.

There was zero ginkgo in the actual product.

There was zero ginkgo in the actual product.

There was nothing activated.

There was nothing activated.

There was nothing activated.

Right.

Right.