The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Chris Wong no published score: only 6 usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.5/5 from 6 raw tape exchanges record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered raw tape D 5 · C 5 · P 5 · Cm 4 4.85

Q When you are. Collecting that data and discovering that this trend is about to come. Do you say to all of the people that you're managing, hey, you need to get ready for this thing, or do you only go to the ones that are, that it's relevant for?

A This goes back into directly what we talked about, what I earlier just discussed, um, what their Instagram target audience is like. So frankly put, if you asked me this question as a very blatant answer, I would say, yes, we target particular KOLs to work on certain topics. Uh, one such previous case was LGBTQ, uh, last month was the LGBTQ annual parade. We didn't want to make this a big event. We selected very, very key content creators that worked with us. And so say, for example, one of the content creators that we really wanted to, you know, attend this event, be part of this parade and be part of our PR team on this kind of topic was, uh, he's actually a fitness gym owner. And we looked more in depth. We actually have his Google analytics to his, uh, you know, his, what's it called? His location on Google. And we could see Google actually captures this kind of data. We look at it and see that, yeah, most of the people who go to your gym are not straight. You should probably come to this event. You should most, you should bring your entire team because this will affect your business greatly. This is a great time to promote.

AI assessment note: “we target particular KOLs to work on certain topics”

Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q didn't have pretty much any of it, but just a good body. And it's like, oh, watch me, watch me do my biceps right now. Watch me do my, you know, my, my squat this time. Right. So like there, um, it was quite basic, but the demand was massive. Do you have any KOLs that are based in Asia, but are not Asian? Someone like myself, white, for example.

A So we've expanded past Taiwan into Malaysia, Korea, et cetera. And one of the best use cases I have thus far, and I think probably the fewer use cases seen is, um, actually I have two. Uh, the first one is in Taiwan. She is an expat from the U S she was born and raised in the U S and she came to Taiwan, I think to finish her education. And she stayed in Taiwan for quite some time. I'm not going to name her, uh, because privacy sake, but at the time when we first met her, she was working at Hooters in Taipei. And we, when we looked at her, we saw a tremendous potential, you know, we saw that, you know, she was, you know, young, bubbly and all that, and she was able to talk on a lot of topics. So we worked on her brand imaging for a little bit and lo and behold, within two months after, you know, we convinced her to stop working at Hooters, she was picked up to be a regular cast member for a TV show. So that's one of the, one of the proudest accomplishments Accomplishments we've had with, you know, foreigners in Asia overall. And we also do work with, I think in Thailand, a couple of content creators who are half Thai or, and I think there's one particular one who's half Danish too. And what we've seen is that because they have been in Asia for quite some time, or they were born there or something like that. They, it's, it's, it's no difference. I mean, even if they speak perfect…

AI assessment note: “The first one is in Taiwan. She is an expat from the U S”

Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q So you had said this a little bit earlier and I didn't follow through on it and I want to now, when I had asked about collating the data and all of that, do you have like a data dashboard for like global trends? Or for each of the KOLs or both?

A We have a independent dashboard for each independent KOL. We have an independent dashboard for their LinkedIn and their Instagram and their Twitters. We also have one for their TikTok and we also have one for their subscription based platforms as well. So we keep a lot of these things separate. And the reason why we keep them separate is because our company actually has a lot of departments. And if you manage a particular aspect, we want to keep it very straightforward for that aspect or that platform by itself. However, if we're generally looking at marketing, the marketing team does oversee at least three different dashboards to see what kind of data is being presented. And by keeping them separate, I think this is how we're able to get down into specifics. We, I don't want to collate all the data into one compressed dashboard because the data would be skewed. It would be biased in a particular way. And so what we typically do is we look at it separately. We analyze the conclusion from each particular dashboard. To come to a conclusion and then we cross-reference it with whatever else is present at the time.

AI assessment note: “We have a independent dashboard for each independent KOL.”

Answered raw tape D 5 · C 4 · P 4 · Cm 4 4.30

Q companies so that they can basically use his model to grow their own businesses. And he's, he's going to make money off of helping them to grow their own businesses. And so Um, maybe instead of you targeting KOLs individually, you can target your competitors and go, Hey, instead of you being ridiculous and making bad decisions, why don't you just copy my model? And we all make money together.

A That's one of our inherent models right now is we, the only difference is that we're not spending that one off for growth. We, what we've actually done is we've approached certain companies who could use our data collection system, but you know, If you want the data collection system, if of course it's a simple feat, right? You know, you're able to grow how you interpret that data. However, is completely up to your staff. I can only help you so much. Otherwise I would be giving up one of the strongest core competencies that our companies or our company has over other competitors, you know? So it's important to spin off certain aspects that can disrupt your industry, but you don't want to hurt yourself in that process. And at the same time, certain products or services that you feel like Could potentially be spun off to help others. I think there needs to be a lot of thought on, are you helping the industry overall, or are you taking away your company's core competency? And I think that's a question that I have been looking at more specifically in probably the past two months, because we're starting to diversify our funds. We're starting to diversify our products and solutions to either see if they're entities. Or if we can sell out, sell, well not sell out, sell off these solutions to other companies as well. So we've been taking that kind of consideration in stride as well.

AI assessment note: “That's one of our inherent models right now is we, the only difference is”

Answered raw tape D 4 · C 4 · P 4 · Cm 4 4.00

Q You know, is there differences in their audiences and how you can promote them and what brands are willing to pay based on if there's something different in gender? Cause I don't really, I don't really know Asia. I mean, I know Asia, but I don't know Asia for KOLs. My assumption is that male, you know, males will get paid better just because they're males, but maybe I'm wrong.

A I think this is actually a very interesting concept in Taiwan. Um, I think Taiwan was one of the very first Asian countries to legalize, uh, gay marriage. So at this moment, um, I would say this, any content creator who identifies themselves as LGBTQ is an extremely hot commodity. It doesn't matter if they're male. It doesn't matter if they're female, as long as they're able to connect and actually promote a really good social image. Typically a lot of brands love to work with them and we've seen You know, brands such as that collaborate with us like Citibank and they specifically choose and look for content creators who, you know, in the past have been very clear and straightforward that, you know, I'm LGBTQ, something like that. Um, specifically if we talk about the females that work with us, uh, if we're talking about the bulk portion, I think their TAs and what kind of products they would be able to market is relatively straightforward. I think most people will with an imagination will be able to. Understand what kind of, uh, content that they'll be able to promote or brands that they will be able to promote. Uh, but typically we do see that corporations really want to, especially in Asia, they want to work with a brand name content creator. Not necessarily caring about their target audience, not necessarily caring about the male female share or what kind of industries that…

AI assessment note: “It doesn't matter if they're male. It doesn't matter if they're female”

Answered raw tape D 4 · C 4 · P 3 · Cm 3 3.60

Q Because it's known that brands are willing and desire to work with people who identify as not straight. Have you had anyone come to you that is clearly pretending to be in order to command a higher number of brands that want to work with them?

A I wouldn't put it so much as in people are disingenuous about their sexual orientation. I think that's a very straightforward thing and people on the internet are very easy. You know, it's, it's, it's very easy to play detective on the internet these days. So having said that, We do have, let's say for example, male content creators who don't pretend that they're gay or bisexual or any, in any other way, uh, essentially non-straight. We don't force them to pretend they're, they're not straight. We actually advise them against it. However, that being said, the people who potentially pay for their content, like their posts on Instagram or, you know, share their videos on Tik TOK. It doesn't matter what kind of content they put out as long as it's friendly enough for all audiences. So typically we ask them to engage with their fans and following in a very genuine matter. And what we typically seen is that fans don't typically care. They, if they really like a particular male, um, you know, it, it, they don't identify whether that person is gay or straight. And then we also don't force them to pretend that they are either. So fans and the KOL by themselves will be able to have a very genuine interaction. And I think from the information statistics that we've gathered so far is that when the KOLs are very genuine about their sexual orientation and not, you know, put on the face or j…

AI assessment note: “I wouldn't put it so much as in people are disingenuous”

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