All right, so we're going to talk about the secrets behind the LinkedIn algorithm, but this one, this episode a little different because this is from behind the scene. So when we're talking behind the scenes about doing this episode,

and he was like, we did this already, but I was like, Neil, my friend this morning told me there's actually a lot more that happens behind the scenes, and this is my friend talking to a person that actually works at LinkedIn. So, Neil, do you want me to let her rip here?

Yeah, because I didn't talk to your friend who has a friend at LinkedIn. So, okay, I was like, hey, I was like, hey, do you want me to give him credit? No, no, no, I'm going to get bad if you give him credit. So I'm not going to give him credit.

So, here's what he says. So, seeing how they're doing things is a trip right now. I talked to a person who runs their influencer program, and she said it is totally rigged. And I mean hand selected, air quilt.

What they do is you get traction on stuff, your account hits a list that the manually review. So, let's for example, let's say I had a picture and it goes viral. It has 4,000 likes on it, right? They're like, okay, that triggers a manual review. I didn't know that they have a criteria, race, gender, topic, age, school, etc.

And if you don't fit their current initiative, they tag you and they downrank you. And once they do, it's almost impossible to get out of their system. You want to pause for a second. I have more here. You go and keep going. Just right. So she said, if your followers stop growing significantly in the last year, it's because there are too many people going viral that don't fit their criteria. They basically downrank them all.

But the few that they did let through most of those people, so they did let a few people through sorry, but most of the people that don't fit their initiatives, they essentially throw out your account down. She said, it's the most manual filtering of any platform. I'll pause for a second again. I got more.

You go on. Don't go in class. Just keep going.

I asked her, what would be an example of the worst account you want to do list. Okay. Guys, this is the messenger. Don't shoot us. Okay. We get called out for this all.

So she said, young white growth hacker, get rich, quick guy, and then young, pretty fitness model, health supplement girl, and then rich white tech bro.

I said, who would you up rank and give extra priority to? She said disabled, black immigrant, financial, professional.

Number two, Harvard educated Asian doctor health and fitness content. Number three, LGBTQ plus tech manager.

She said the criteria changes for a country too, and it's really in line with the corporations that need to use LinkedIn for the premium HR products. Okay.

And that algo does not actually give preference to the best performing content because then all the growth hackers and marketers would get to the top. So they have to manually filter so the ad inventory works best for corporations, diversity and inclusion initiatives.

Final thing on that here. I asked her, as a white dude, what should I talk about? She said, inclusive leadership. I said, if you're Asian, what should you talk about? She said health and wellness. And I said, if you're black, she said personal finance. So guys, I'm switching over to health and wellness guys. Wow.

Dude, you know, at the end of the day, they are a corporation. They're going to do what benefits them. One interesting thing, though, that you said that I didn't actually think about, but it totally makes sense. They adapted per country because culture in each country is totally different on what companies and people want.

The one thing that I don't hate on and I expected this is they adapt their algorithms to make them the most money. Facebook does that. Instagram does that. Twitter does that. They all do that.

Here's another thing. So there are four languages or four different levels that they have. Okay. So if you're a vetted person on LinkedIn, it's basically someone from LinkedIn that, wait, so vetted means they've chosen you, right.

Standards, AK, someone has an initiative. So it could be LGBTQ that that could be an initiative, right.

Valuable that's determined by the internal review team at LinkedIn. So it's a team instead of an individual unique is, for example, like a white tech guy talking about tech bro stuff is not unique.

For example, LGBTQ tech person talk about product management tech stuff is. So take it for what it is, but it just reminds me. So I have the statue over here. It's this one. So this one's Charlie Munger. You can't quite see his full face.

But he always says show me the incentive and I'll show you the outcome. Everyone is driven by incentives. Every company is driven by incentives.

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