價值 vs 注意力: X.com 上的 7 倍倒掛
先看一對數字，同樣的 10 天裡:
- 一個 AI 影片模型發布(Seedance 2.0 Mini)→ 10.7M 觸及
- 一條 Polymarket 講真實 NFL 球員被捕的貼文 → 1.6M 觸及
差不多 7 倍的落差。我先把這對貼文丟在這裡:
奇怪的地方在這:Polymarket 一個月清算 $10b+ 的真實資金。真正在動錢、影響真實結果的東西，拿到的注意力，卻是一個「好玩的」AI 影片 demo 的零頭。
為什麼 X 上的注意力，跟經濟價值差這麼多?
把注意力當成一個市場來看
換個角度。把注意力想成一個市場，問一個問題:每一份注意力背後，扛著多少真實的錢?
- AI 影片是便宜的注意力——海量曝光，但每一次曝光背後幾乎沒有真實賭注。看完就看完了。
- 預測市場是貴的注意力——曝光少，但每個曝光背後是真實倉位、真實結算、真實後果。
說穿了，差的就是客單價:spectacle(奇觀)客單價低，substance(實質)客單價高。但 feed 的定價完全反過來——它付最高的價，買最便宜的東西。
這不是道德問題，是機制問題。X 結構上就是一個奇觀市場，不是一個價值市場。搞清楚這點，7 倍的落差就不奇怪了。
為什麼?兩件事
第一，X 獎勵的是「看得見的東西」。 影片直接在 timeline 播放，本身就是內容;預測是個數字，名單是幾行文字。一個是奇觀，一個是資訊。這不是推測——X 公開的排序演算法白紙黑字:獎勵停留時間、影片觀看、profile 點擊(見文末)。feed 只為「能讓人看完」的內容付費，文字和數字從一開始就輸。
第二，預測市場的人根本不在 X 上。 真正會下注、會算機率的那群人，注意力不在這個 feed 上。所以內容再硬，也沒有對的人在這裡接住。
那 7 倍只是一對貼文——把範圍拉大會怎樣?
一對 cherry-picked 的貼文不能當結論，所以我把範圍拉大。抓了 Polymarket 官方標記的 83 人 cohort，看他們近 10 天觸及最高的 120 條貼文，照主題分類:
觸及佔比 vs 貼文數 — 兩條細線分別是觸及佔比(實色)與貼文比例(淡色)，同一把尺。Crypto/AI 的貼文線遠長於觸及線，就是那個「倒掛」。
80% 的觸及是體育。 而最值得玩味的是那兩個對不起來的數字:Crypto / Robotics / AI 發了 24 條貼文(NFL 之外最多的一類)，只換到 3.4% 的觸及;真正的「產品與市場數據」只有 6 條、1.3%。
也就是說——“**就算他們發實質內容，也幾乎沒有觸及。” **連這家公司自己聲量最大的帳號，都不是在賣賠率，是在農借來的體育注意力。因為連他們都用行為告訴你同一件事:在 X 上，資訊不付錢。
方法與侷限(因為數字會騙人):這是 X 的數據，不是全部。83 人裡有將近一半近 10 天一篇沒發;top 120 是從「原創 + 引用」依觸及取的，不含回覆;轉推沒抓到(twitterapi 的
from:限制);最活躍的那批帳號可能撞到分頁上限被截斷。方向可信，絕對量別照抄。
等等，這比較公平嗎?
你可能會反駁:這比較本來就不對等。AI 影片是消費型產品，Polymarket 是金融產品。金融產品天生資金大、受眾窄；消費產品天生曝光大、每次互動的金額小。所以「客單價」差這麼多，有一部分是產品類型決定的，不全是 X 的錯。
這反駁成立一半。客單價的靜態落差，確實摻了產品本質的成分——我承認。
但有意思的是動態那一半。AI 影片生成背後也有真實金流:API 消耗、付費生成、創作者經濟。它現在每月結算的金額，大概率還小於 Polymarket 的 $10b+。
問題是:何時黃金交叉? 如果哪天生成式消費的金流追上、甚至超過預測市場，那「高注意力 = 低價值」這個結論，就會被它自己推翻。
這需要把兩邊的「每月真實結算額」拉成時間序列來追——我還沒做。先把這個懸念擺在這:今天看是倒掛，但倒掛會不會自己翻正，是個還沒收尾的 TODO。
文末與可能的總結
一，別把注意力當成價值的代理。 一個東西在 feed 上的表現，跟它在世界上的重量，是兩件不同的事。X 是奇觀市場，不是價值市場;在這裡贏，跟在現實裡重要，沒有必然關係。
二，如果你在做東西: 會贏的內容引擎是垂直的、不是通用的——這點數據很清楚。但要小心你選的垂直是不是「借來的」熱度。Polymarket 那 80% 看起來很猛，可是那是 NFL 的觀眾，不是預測市場的觀眾。世界盃結束、NFL 過季，那批注意力就跟著走了。它是租來的，不是你的。
真正的問題從來不是「怎麼拿到注意力」。是怎麼拿到跟你的價值對得上的那種注意力。X 會為任何能看的東西付錢——但你做的東西值不值得被看見，跟它在這裡能不能被看見，是兩回事。
References
- 原始 thread(7× 落差 / 跨兩個 X List 的 1,100+ 貼文)— x.com/0xHoward_Peng
- X 排序演算法(feed 獎勵什麼)— github.com/xai-org/x-algorithm
Value vs attention: the 7× inversion on X
One pair of numbers first, over the same 10 days:
- An AI video model launch (Seedance 2.0 Mini) → 10.7M views
- A Polymarket post about real NFL player arrests → 1.6M views
About a 7× gap. Here's the pair:
Here's the strange part: Polymarket clears $10b+ in real money every month. The thing that actually moves money and shapes real outcomes gets a fraction of the attention a "fun" AI video demo does.
Why is attention on X so detached from economic value?
Treat attention as a market
Reframe it. Think of attention as a market and ask one question: how much real money sits behind each unit of it?
- AI video is cheap attention — huge reach, but almost no real stake behind any single view. You watch it and you're done.
- A prediction market is expensive attention — little reach, but every view sits on top of a real position, a real settlement, a real consequence.
In business terms it's a difference in value per customer: spectacle has a low one, substance has a high one. But the feed prices it exactly backwards — it pays the highest price for the cheapest thing.
This isn't a moral problem, it's a mechanical one. X is structurally a spectacle market, not a value market. Once you see that, the 7× gap stops being surprising.
Why? Two things
First, X rewards what you can watch. A video model's output is the content — it plays right in your timeline. A prediction is a number; an arrest list is text. One is spectacle, one is information. And this isn't a guess — X's own published ranking algorithm explicitly rewards dwell time, video views, and profile-click signals (see the reference below). The feed pays for things that get watched to the end, and text and numbers lose by default.
Second, the prediction-market crowd doesn't live on X. The people who actually place bets and price probabilities aren't paying attention on this feed. So even when the content is solid, the right audience isn't here to catch it.
That 7× is just one pair — what happens when you zoom out?
One cherry-picked pair can't be the conclusion, so I widened it. I pulled the 83-person cohort Polymarket officially tags, took their top 120 posts by reach over the last 10 days, and sorted by topic:
Each row: solid bar = share of reach, faded bar = share of posts — same 0–100% scale. Crypto/AI's posts bar dwarfs its reach bar — that's the inversion.
80% of the reach is sports. And the most telling part is the two numbers that don't line up: Crypto / Robotics / AI got 24 posts (the most of any category after NFL) and only 3.4% of the reach; the actual "product & market data" got 6 posts and 1.3%.
In other words — even when they post substance, it barely reaches anyone. Even this company's loudest accounts aren't selling odds; they're farming borrowed sports attention. Because their behavior says the same thing: on X, information doesn't pay.
Method & limits (because numbers lie): this is X data, not everything. Nearly half of the 83 posted nothing in the last 10 days; the top 120 are drawn from originals + quotes by reach, replies excluded; retweets weren't captured (a
from:limit in twitterapi); the most active accounts may have hit a pagination cap and been truncated. The direction holds; don't copy the absolute magnitudes.
Wait — is this even a fair comparison?
You could push back: the comparison is rigged from the start. AI video is a consumer product; Polymarket is a financial one. Financial products carry big money and a narrow audience by nature; consumer products carry big reach and small per-interaction stakes by nature. So a large "value per view" gap is partly baked into the product type — not all of it is X's fault.
That objection is half right. The static gap really does mix in something intrinsic to the product. Granted.
The interesting half is the dynamic one. AI video generation moves real money too: API spend, paid generations, the creator economy. Its monthly settled volume is probably still below Polymarket's $10b+ today.
The open question: when does it cross? If one day consumer-gen money flow catches — or passes — prediction markets, then "high attention = low value" gets overturned by its own example.
Tracking that means pulling both sides' monthly real settlement into a time series — which I haven't done yet. So I'll leave the suspense here: today it's an inversion; whether the inversion flips itself back is an open TODO.
So what
One: don't treat attention as a proxy for value. How something performs in the feed and how much it weighs in the world are two different things. X is a spectacle market, not a value market — winning here and mattering out there aren't the same.
Two, if you're building: the content engine that wins is vertical, not generic — the data is clear on that. But watch whether the vertical you pick is borrowed heat. Polymarket's 80% looks impressive, but that's the NFL audience, not the prediction-market audience. When the World Cup ends and the NFL season turns over, that attention leaves with it. It's rented, not owned.
The real question was never "how do I get attention." It's how do I get the kind of attention that matches my value. X will pay for anything watchable — but whether your thing deserves to be seen and whether it gets seen are, here, two separate things.
References
- Original thread (the 7× gap / 1,100+ posts across two X Lists) — x.com/0xHoward_Peng
- X ranking algorithm (what the feed rewards) — github.com/xai-org/x-algorithm
