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How Social Media Is Making You a Worse Sports Bettor | Presented by Kalshi

Circles Off

2026-02-16

 

 

 

5 Tips to Filter Noise for Real Edge in Sports Betting (Tested)

 

You're scrolling Twitter or watching YouTube trying to get better at sports betting, but what if I told you that you might actually be getting worse? The platforms you use don't reward accuracy. They reward engagement, hot takes, and absolute certainty, which warps your perception of what actual skill looks like in the betting market.

 

I remember losing real money fast when I was younger, thinking I was sharp because I consumed lots of content. But attention is not the same as having an edge. In this post, we cut through the noise created by the algorithm and reveal the five core filters used by consistently successful bettors to identify true competence.

 

Here's What We'll Cover

 

  • Why social media punishes accuracy and rewards outrage
  • The difference between perceived authority and market edge
  • The 5 critical questions to ask when evaluating any betting expert
  • How to shift your mindset from validation seeking to genuine learning

 

Why Social Media Rewards Loudness Over Accuracy

 

The structural issue with platforms like Twitter is simple: they don't measure profitability. They measure reactions. Think about the pipeline that leads to viral content. A controversial statement generates replies. Replies trigger the algorithm. The algorithm boosts the post, creating followers, and that creates perceived authority. You can be losing money to the market for years and still be winning in these algorithms, provided you generate enough reactions.

 

Accurate betting discussion sounds completely different. It sounds like, "This might be slightly plus expected value" or "It depends heavily on the closing line value." Those conversations are nuanced. They rely on probabilities and small edges. Nuance just doesn't generate the rage necessary to farm engagement, unlike explosive statements like, "Never bet this," or "This is an absolute lock that guarantees profit."

 

When I look at comment sections now, I see masses of people who are certain, but they are clearly misunderstanding complex market mechanics. That agreement compounds, it gets filtered to the top, and it reinforces itself. But the market simply doesn't care about engagement metrics. It only cares about price and edge. If you confuse attention with edge in sports betting, the market will eventually correct you, usually in a very uncomfortable way.

 

The Dangerous Trap of Chasing Validation

 

When I was learning, my ego was huge. If someone agreed with my opinion on a game, I instantly labeled them sharp. If someone challenged me, I dismissed them immediately. I wasn't looking for correction; I was looking for validation. The thing is, betting is a pure market. Markets don't care about your ego, your likes, or how many followers you have. Price is price.

 

I eventually had to admit something difficult. The people who annoyed me most, the ones who spoke in probabilities and weren't flashy, they were right far more often than I was. They weren't simplifying deep concepts into easily digestible, viral clips. They talked about concepts like closing line value and the importance of price over teams. That disciplined approach felt boring compared to the loud, confident voices.

 

But markets reward discipline over time, not fleeting moments of confidence. My improvement as a sports better only started when I stopped seeking external validation and started tolerating the necessary intellectual discomfort that comes with admitting you might be wrong. This shift in ego size might be the biggest edge you can develop.

 

How to Build Your Sports Betting Filter

 

Since the algorithm isn't going to filter the noise for you, you need to build a filter yourself. This is crucial for anyone serious about succeeding in sports betting. Focusing on process over outcome is your first major step. Anyone can post a picture of a winning ticket. That doesn't show you their repeatable process. A sound process, even with some short-term variance in results, is what matters.

 

Here are five specific questions to ask when evaluating any expert or system in the space:

 

  1. Do they talk about line value and price? If a source never discusses market efficiency or consistently ignores price action, that's an immediate red flag. Good bettors are obsessed with getting a better number.
  2. Do they show process or just outcomes? You need to understand *how* they arrived at their conclusion. Is the underlying logic sound? Can you replicate it?
  3. Are they ever uncertain? Real professionals express doubt when dealing with probabilities. If someone sounds certain about everything, they are likely naive or, more often these days, just trying to sell you something.
  4. Who respects them? Forget follower counts. Look at who established, profitable bettors quietly follow or reference. Credibility respects credibility.
  5. Do they benefit from being loud? If their entire business model relies on generating outrage, selling absolute certainty, or pushing premium picks subscription tiers, their incentives are misaligned with your long term success.

 

Your job isn't to find the loudest voice. It's to find the most disciplined voice. And that requires actively choosing nuance even when it’s less exciting than the viral takes.

 

Common Questions About Real Betting Edge

 

What if a Popular Expert Still Posts Winners?

 

It’s entirely possible for a high-profile personality to post winners. Remember, they understand how to distribute content well. They might have a few decent baseline edges they stumble upon. The problem isn't zero winners—it’s that their primary skill being demonstrated is distribution, not necessarily superior market understanding or finding a repeatable, scalable edge in sports betting. Their success in the attention economy is proven, but their success against the closing line is not.

 

Why Does Nuance Feel So Boring Compared to Hot Takes?

 

Nuance is boring because it involves understanding probability. Saying, "There is a 58 percent chance this outcome occurs, meaning we need to bet it at odds better than plus 136 to have positive expectation," isn't catchy. Saying, "Bet this now before it closes," is much more appealing for quick engagement. We are hardwired to respond to certainty and drama, but the market rewards patience and marginal edges.

 

How Do I Judge Closing Line Value Correctly?

 

Closing line value (CLV) is just one metric, but it’s a huge clue about market respect. If you consistently bet lines that move significantly in your favor by game time, it suggests you are identifying market weaknesses early. If you bet a line and it moves against you consistently, the market is telling you that your initial number was likely overstated. Understanding CLV is fundamental to sports betting success.

 

Is It Ever Okay to Trust a Highly Confident Source?

 

Trust confidence initially only to see if it's backed by repeatable, transparent process. If a source shows you their work, embraces disagreement, and talks about uncertainty, that confidence is earned. If they only show you the winners and label anyone who disagrees an idiot, you should be deeply skeptical, regardless of their follower count.

 

Does Audience Size Indicate Betting Edge?

 

Absolutely not. Audience size proves someone understands attention mechanics, social media algorithms, and marketing. It proves nothing about their ability to beat regulated markets over the long run. Those are two completely separate skill sets, and confusing them is the fastest way to lose capital.

 

Your Next Steps

 

Your biggest challenge moving forward isn't finding some secret anomaly; it's building that internal filter we discussed. Remember the five criteria: Price obsession, process-over-results, uncertainty, peer respect, and incentive alignment. These are the currencies that matter in the long run, not likes or shares.

 

Stopping the chase for external validation will feel like a step backward temporarily. You'll stop engaging with the entertaining stuff. But by choosing to value discipline and nuance over the algorithm's preferred flavor of the week, you protect your capital and accelerate your actual understanding of sports betting. Start applying one of those five filters to every single piece of content you consume today. That's your concrete action. Go audit your feed right now.






 

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Episode Transcript





[00:00] If you're trying to learn sports betting

[00:01] from Twitter or YouTube right now, you

[00:04] might actually be getting worse. And you

[00:05] probably don't even realize it because

[00:07] the platforms you're using, they don't

[00:10] reward being right. They reward being

[00:12] engaging. If you scroll your feed, big

[00:16] accounts, huge engagement, tons of hot

[00:19] takes, people speaking with absolute

[00:22] certainty. Comment sections are full of

[00:24] people convinced that they figured it

[00:26] out. confidence gets amplified. Outrage

[00:30] gets amplified. Accuracy not so much.

[00:34] The people winning the algorithm are

[00:36] often the people losing to the market.

[00:39] And once someone has 100k followers,

[00:42] once their videos are pulling 200K plus

[00:45] views, it looks like credibility. It

[00:47] feels like credibility, but attention is

[00:50] not the same thing as having an edge.

[00:52] And if you've ever judged a better by

[00:55] their follower count, you've probably

[00:57] fallen into this, too. I know I did

[00:59] before. When I was in my late teens and

[01:01] early 20s, I lost a lot of money betting

[01:04] on sports while thinking that I was

[01:06] actually learning, and I wasn't. And

[01:09] today, it's even harder to tell the

[01:12] difference between signal and noise. So,

[01:14] let's talk about why.

[01:17] >> Here we go.

[01:19] Back then, I thought I was sharp. I

[01:22] watched every game. I had strong

[01:24] opinions. I could explain why the books

[01:27] got it wrong. And I was losing. Not fake

[01:31] down a few units losing. I was losing

[01:33] real money. But here's the dangerous

[01:35] part. I thought I was improving. I was

[01:38] googling strategy. I was reading

[01:40] articles, watching breakdowns. I was

[01:42] searching for sharp systems, getting

[01:44] picks from guys that I thought were

[01:46] winners. And most of it, well, it was

[01:48] recycled SEO content. Sometimes content

[01:51] that was even written by sports books,

[01:53] disguised on other websites, trends,

[01:56] angles, surface level analysis that

[01:58] sounds intelligent but doesn't actually

[02:00] move the needle because it was

[02:01] everywhere. I assumed that it must be

[02:04] valuable. And then I got on Twitter in

[02:06] the early 2010s and I had an ego. If

[02:09] someone agreed with me, I thought they

[02:11] were sharp. If someone challenged me,

[02:14] who the hell is this guy? I demise I

[02:15] dismissed them completely. I wanted

[02:17] validation. I didn't want correction.

[02:20] But eventually something clicked. The

[02:22] same group of people just kept being

[02:25] right. Not loud, not viral, just

[02:28] consistently right about how markets

[02:30] actually work. They talked to me about

[02:32] closing line value. I'd see that these

[02:34] people cared about price, not teams.

[02:37] They focused on process, not results.

[02:40] And I started noticing some patterns.

[02:43] Who respected who? Who sharp betterers

[02:46] followed quietly? who was tracking

[02:48] results, who understood why markets were

[02:50] moving. It was like building this map, a

[02:53] credibility map. And once I stepped

[02:56] back, I saw it a lot more clearly. I'd

[02:58] been following confidence, not

[03:00] competence. Once I changed who I was

[03:03] listening to, everything changed for me.

[03:06] Not because I found some magic strategy,

[03:08] but because I finally filtered out the

[03:10] noise. And that skill matters more today

[03:14] than ever. Here's the structural issue.

[03:17] Twitter and social media for that

[03:19] matter, they don't reward being right.

[03:23] They reward replies, comments. Replies

[03:26] come from emotion. Emotion comes from

[03:28] certainty. Certainty comes from

[03:31] oversimplification. That's the pipeline.

[03:34] Controversial statements generate

[03:35] replies. Replies trigger the algorithm.

[03:37] The algorithm boosts the post. Boosted

[03:40] posts create followers. Followers create

[03:43] perceived authority. You can lose money

[03:46] for years and you can still win in these

[03:50] algorithms. You just need reactions.

[03:53] Look at the stuff that spreads nowadays.

[03:56] Never bet this. This guarantees profit.

[03:59] Sharps are wrong here. If you're doing

[04:02] X, Y, and Z, you're an idiot. Absolute

[04:05] claims travel. Now, compare that to what

[04:08] accurate betting discussion sounds like.

[04:10] It depends on price. Edges are small.

[04:13] This might be plus EV. Which one

[04:15] spreads?

[04:17] Which one's more honest? Nuance doesn't

[04:20] trigger rage. Probabilities. They're not

[04:23] going to farm engagement. Education,

[04:26] frankly, it it doesn't create viral

[04:28] arguments. So, nuance dies quickly,

[04:32] quietly, and perception gets warped.

[04:35] Subscribers and views are not

[04:37] performance metrics. a large audience

[04:39] proves someone understands how to

[04:41] distribute themselves. It doesn't prove

[04:43] that they beat markets. Those are two

[04:45] completely different skill sets. Let me

[04:48] show you how this plays out in real

[04:50] time, right? Someone posts a bold claim

[04:53] about sports betting. Replies explode.

[04:55] The algorithm now boosts it. Now more

[04:58] people see it. Authority grows. None of

[05:02] that measures edge. When I go back and

[05:05] read comment sections on certain betting

[05:07] videos on this channel, what stands out

[05:09] to me isn't disagreement. Disagreement

[05:11] is healthy. It's certainty. People

[05:14] convinced they understand complex market

[05:18] mechanics while clearly misunderstanding

[05:21] them. And then the herd reinforces

[05:23] itself. Agreement compounds. Okay, more

[05:26] engagement that compounds. It gets

[05:28] filtered to the top. The market doesn't

[05:31] care about any of that. The algorithm

[05:33] can't measure profitability. The

[05:36] algorithm measures attention. And this

[05:39] is where it gets uncomfortable.

[05:41] This wasn't just an algorithm problem

[05:43] for me. I mean, the the big thing for

[05:45] me, this was an ego problem. I

[05:47] gravitated towards voices that confirmed

[05:50] my opinions. I rejected the ones who

[05:54] challenged me. But betting is a market.

[05:56] And markets, they don't care about your

[05:58] ego or my ego. They don't care about

[06:00] likes. They don't care about agreement.

[06:02] Price is price. At some point, I had to

[06:06] admit something difficult to myself. The

[06:09] people who annoyed me, the ones that

[06:12] annoyed me the absolute most. They were

[06:15] right more often than I was. They

[06:18] weren't flashy.

[06:20] A lot of times they called me some bad

[06:22] names, but they weren't simplifying

[06:24] edges into viral clips. Viral clips at

[06:27] that time would have been Vine, by the

[06:28] way, how far we've come. But they talked

[06:31] in probabilities that doesn't win in the

[06:34] attention economy

[06:36] because you know this might be slightly

[06:39] plus EV that does not hit like this is a

[06:42] lock that hits way harder. So the most

[06:45] disciplined voices often look the least

[06:48] impressive but markets reward discipline

[06:50] over time. And once I stopped chasing

[06:53] validation and started tolerating

[06:55] discomfort that's truly when I improved

[06:58] as a sports better. Not because my ego

[07:00] got bigger, but because it got a lot

[07:02] smaller. And in this space, that might

[07:05] be the biggest edge that you can

[07:07] actually develop. So, what do you

[07:09] actually do? Build a filter here. Here's

[07:13] a simple one. When evaluating people, do

[07:16] they talk about line value? Number one,

[07:18] do they understand market efficiency? Do

[07:20] they care about price? If they never

[07:22] discuss price, immediately red flag.

[07:26] Number two, do they show process or do

[07:29] they just talk about outcomes? Anyone

[07:31] can post winning tickets. Process is

[07:33] repeatable. Results can be variance. And

[07:36] how do they arrive at their outcomes? Is

[07:38] that process sound? Number three, are

[07:41] they ever uncertain? Real betterers

[07:44] express uncertainty. If something is

[07:46] certain about everything, they're either

[07:49] naive or nowadays they're probably

[07:51] selling something. Number four, who

[07:54] respects them? Not who follows them, who

[07:56] respects them. Patterns of credibility

[07:59] matter. And number five, do they benefit

[08:01] from being loud? Are they selling pics?

[08:03] Are they selling outrage? Are they

[08:05] selling certainty? Incentives matter

[08:08] because accuracy is boring.

[08:11] Boring rarely goes viral. At the end of

[08:13] the day, your job isn't to find the

[08:15] loudest voice. It's to find the most

[08:18] disciplined one. And the algorithm is

[08:20] not doing that for you. You have to

[08:22] build that filter yourself. And once you

[08:25] do, everything starts to change. One of

[08:29] the hardest parts of sports betting

[08:31] isn't finding edges, believe it or not.

[08:34] Once you know what you're doing, that

[08:35] part actually becomes very easy.

[08:38] But filtering voices, that's hard. The

[08:42] algorithm rewards emotion. The market

[08:45] rewards accuracy. Those are very

[08:47] different currencies. And if you if you

[08:50] confuse attention for edge, eventually

[08:53] the market is going to correct you. And

[08:55] I know that from experience. Once I

[08:57] stopped chasing validation and started

[08:59] chasing understanding, things shifted

[09:01] for me. Not overnight, not because I I

[09:04] got smarter, but because I got more

[09:05] disciplined about who I was listening

[09:07] to, who I was learning from. You don't

[09:09] need to agree with everything I've said

[09:11] here or on this channel. But you do need

[09:13] a filter because the algorithm as it's

[09:16] built now isn't going to protect you.

[09:18] It's built to keep you engaged. And if

[09:20] you're serious about getting better at

[09:22] betting, that means you have to value

[09:25] nuance even when it's less exciting.

[09:29] >> [music]

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