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Channel

强大的红牛社区.china 🇨🇳📈

@ChinaPump

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

8,390subscribers

+2,163 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001311645737
TypeChannel
Username@ChinaPump
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/ChinaPump

Growth

5,9578,4907,223.57 August 2026 — 6,227 subscribers7 August 2026 — 6,222 subscribers10 August 2026 — 6,146 subscribers13 August 2026 — 6,103 subscribers16 August 2026 — 6,062 subscribers20 August 2026 — 5,957 subscribers23 August 2026 — 8,490 subscribers26 August 2026 — 8,465 subscribers29 August 2026 — 8,454 subscribers1 September 2026 — 8,402 subscribers4 September 2026 — 8,390 subscribers8,3907 August 20264 September 2026
11 measurements spanning 29 days, net +2,163. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 5,577–8,870 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 18:148,390-12
1 Sept 2026, 08:368,402-52
29 Aug 2026, 18:388,454-11
26 Aug 2026, 17:468,465-25
23 Aug 2026, 20:178,490+2,533
20 Aug 2026, 02:485,957-105
16 Aug 2026, 16:286,062-41
13 Aug 2026, 02:336,103-43
10 Aug 2026, 08:256,146-76
7 Aug 2026, 17:226,222-5
7 Aug 2026, 04:036,227first reading

Engagement

59 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.72%
avg views ÷ 8,390 subscribers
Avg views / post
229
16 posts measured
Reaction rate
1.95%
reactions ÷ views · ER floor
Posts in window
33
of 59 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 15 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held59 (3 August 202628 August 2026)
Views total3,658
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:17 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

73 reactions across 27 posts, in 11 distinct kinds. The most used accounts for 26.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1926.0%
🎉1520.5%
1013.7%
👍811.0%
👏79.59%
🤩45.48%
👾34.11%
🌚22.74%
💯22.74%
🦄22.74%
👀11.37%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 27 of the 59 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 73 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 3 August 2026 to 28 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

28 Aug 2026, 06:34 UTC2 views3 reactionsread 28 August 2026
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$CASHCAT 是 Robinhood Chain 上最具影响力的梗之。 其数据令人瞩目。 CASHCAT 的市值最初预计约为 310 万美元,如今已飙升至约 2.5 亿美元。0x020bfc650a365f8bb26819deaabf3e21291018b4 短短, 个月内,市值增长了 81 倍。 而且,市场信心丝毫未减。据报道,个与 @ meilinxbt 关联的数字钱包持有价值 1556 万美元的 CASHCAT,目前价值约 373 万美元,还有约 69.7 万美元的未实现利润。 但更重要的是其生态系统。 CASHCAT 是 Robinhood Chain 上梗热潮的最初引爆点之,社区已将其发展成为, 个家喻户晓的原生品牌。 如果 Robinhood Chain 继续发展壮大,我认为 CASHCAT 很有可能继续成为人们联想到这个生态系统的标志性品牌之。https://x.com/cashcat_token

🎉21

28 Aug 2026, 00:48 UTC105 views2 reactionsread 28 August 2026
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$AI 的有趣之处不仅在于其市值即将突破 7000 万美元大关。 真正引人注目的是 Robinhood Chain 上“股票迷因”的迅速传播,使其成为, 个独特的领域。多头头寸开始吸引更多交易量,而 AI 正处于这股潮流的中心。 AI 的独特之处在于其易于识别的股票代码、“股票迷因”叙事以及围绕其真正活跃的生态系统三者的完美结合。 随着越来越多的流动性流入多头头寸,交易员们开始基于 RWA(风险加权资产)+ 迷因寻找下, 个重大投资机会,AI 已成为人们自然而然关注的首选之。 从初始水平到数千万美元的增长表明,市场开始重视的不仅仅是迷因本身。0x2e8c31162b855a2ffa90f6f8634643ad6f111e18 我主要关注的是 AI 能否将这种关注转化为可持续的流动性和生态系统增长。 如果 LONG 继续扩张,并且 Robinhood Chain 上的“股票迷因”叙事持续获得关注,AI 将稳居该领域的领

1🔥1

27 Aug 2026, 06:59 UTC4 views2 reactionsread 28 August 2026
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如果我们要重点关注 #STONKBROKER,目前最值得注意的是,它不仅局限于网络迷因领域,而且正在 Robinhood Chain 上构建, 个 NFTFi 生态系统。 目前,该产品套件包含 4,444 个 StonkBroker NFT,每个 NFT 都使用, 个与 ERC-6551 代币关联的钱包。该经纪商可以持有代币化的份额并参与奖励机制。 更值得注意的是,该生态系统仍在不断扩展:Stonk Launcher 和 Stonk Exchange/vDEX 正在开发中,而 Anvil AMM 和 Broker Box 已经投入运营。 CA: 0xe934e36a439c94017b64a3fece66af12099abf50 根据 OpenSea 的最新数据,STONKBROKER 的最终发行价 (FDV) 约为 5070 万美元,拥有约 3 万名持有者,24 小时交易量约为 200 万美元。 然而,这仍然是一个处

🎉2

27 Aug 2026, 02:01 UTC5 views2 reactionsread 28 August 2026
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Robinhood Chain 上与股票相关的梗图故事正变得越来越引人注目。 最初只是几个实验性的交易对,如今已发展成, 个更大的生态系统,LongX 上的交易量不断增长,新的股票主题梗图也在整个链上涌现。 有趣的是,人们的注意力不再集中在单, 代币上,而是开始扩散到多个交易对和社区。 这股潮流的核心是 $AI,它持续飙升,最近市值达到了约 6000 万美元。 CA: 0x2e8c31162b855a2ffa90f6f8634643ad6f111e18 此次走势尤其引人注目的是围绕 AI 在 LongX 上的交易对发生的活跃交易。 据报道,短短几个小时内,AI 的交易活动就产生了约 20 万美元的买盘压力,这表明交易活动能够影响底层代币,而不仅仅是流入外部流动性。 然后,你会看到像 SPACEHOOD、MOO 和 CLANKER 这样的股票,它们都围绕着相同的 RWA/股票迷因概念构建,而 CLIPPY 的市值则从最

🎉1🔥1

26 Aug 2026, 02:36 UTC9 views1 reactionsread 28 August 2026
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又, 天过去了,我们得以继续观察整个生态系统的发展,而围绕它的各项数据也变得越来越有趣。 许多项目正在启动,流动性持续涌入,即使, 些领头羊项目开始降温,该协议依然保持着活跃度。 通常情况下,比起单根阳线,我更关注的是这些。 在这, 波浪潮中,$BULLSHIT 继续稳居榜首,市值约为 300 万美元,成为该平台上最耀眼的领头羊之。 与此同时,CATE 的日交易量约为 6700 万美元,表明整个生态系统的关注度依然非常高。 目前已有 1170 个项目启动,174 个项目完成转换,1514 万美元已免费分配给持有者,243 万枚 ANSEM 已被销毁,可见幕后发生了很多事情。zj1jpp7QMveWHLs61vL9KMZf254KvW7j4AAmBF8ry2k BULLSHIT 的有趣之处在于,它并非依靠任何随机的涨幅来维持其领先地位。从最初的微薄估值,到如今数百万美元的巨额回报,它始终是整个生态系统关注的焦点。

👏1

Showing the 12 most recent of 59 posts we hold for @ChinaPump. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 September 2026 — this entry's latest reading, not the date you are reading this.

“强大的红牛社区.china 🇨🇳📈” (@ChinaPump), 8,390 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/ChinaPump.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.