中國和亞洲鯨魚 CHINESE CALLS pinned a photo

Channel
中國和亞洲鯨魚 CHINESE CALLS
@ChineseWhaleCNN
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,222subscribers
-574 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002610273215 |
|---|---|
| Type | Channel |
| Username | @ChineseWhaleCNN |
| Description | 只做投资分析 注意风险 #Bullish #Gems #ETH #BNB #SOL #SEI 📥 DM Owner ~ @WhalesCN 🔒: t.me/+oMeuzzpJ18Q0NTRk 想像一下,當你的專案獲得大量中國投資者的支持時會獲得什麼樣的優勢 在中國房地產市場動盪之際,微博 Zalo 抖音 嗶哩嗶哩 Naver KaKaoTalk LINE https://weibo.com/u/7964454720 在中國和亞洲的加密數位貨幣的營銷和推廣。 亞洲交易所,例如中國的CMC |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/ChineseWhaleCNN |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 12:47 | 11,222 | -84 |
| 11 Aug 2026, 10:22 | 11,306 | -151 |
| 10 Aug 2026, 12:41 | 11,457 | -106 |
| 9 Aug 2026, 11:11 | 11,563 | -111 |
| 8 Aug 2026, 09:53 | 11,674 | -122 |
| 7 Aug 2026, 16:31 | 11,796 | no change |
| 7 Aug 2026, 16:27 | 11,796 | first reading |
Engagement
29 posts held, back to 1 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.9%
- avg views ÷ 11,222 subscribers
- Avg views / post
- 1,340
- 28 posts measured
- Reaction rate
- 2.00%
- reactions ÷ views · ER floor
- Posts in window
- 29
- of 29 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 29 (1 August 2026 – 12 August 2026) |
| Views total | 37,390 |
| Reactions total | 746 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 04:16 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.
What this channel posts
- Photos
- 270
- Videos
- 49
- Links
- 268
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
746 reactions across 28 posts, in 12 distinct kinds. The most used accounts for 21.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 160 | 21.4% | |
| 🔥 | 149 | 20.0% | |
| 😁 | 144 | 19.3% | |
| 👍 | 141 | 18.9% | |
| 🎉 | 139 | 18.6% | |
| 👏 | 4 | 0.536% | |
| 🙈 | 3 | 0.402% | |
| ❤🔥 | 2 | 0.268% | |
| 🏆 | 1 | 0.134% | |
| 💯 | 1 | 0.134% | |
| 🤝 | 1 | 0.134% | |
| 🥰 | 1 | 0.134% |
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 28 of the 29 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 746reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 1 August 2026 to 12 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
$CATE https://dexscreener.com/solana/HMzvsEEmtzHhvZNw9uwbaG85HCTmFnkbhzUx16cy7ca3
👍7❤5🔥4😁4🎉3
Whoa, @WhalesCN, STONK just did a 10x jump from 1.4M to 13.8M in six days—looks like even the universe couldn't keep up with that rocket! ⋅ $STONK ⋅ 🔎
😁9❤7👍6🎉3🔥3
💡 Set a custom PNL background with /pnlbg
❤8😁7👍5🔥5
#Shill Me 👀
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Sticker, posted without a caption
👍6🔥6❤4🎉4😁4
$TOTEM 是一个打造真正个性化 AI 的强大项目 团队?加密历史上最强大的团队——SHIBA 团队 🔥🚀 无炒作。无拉高出货。 该项目旨在构建……并重新定义 AI 的未来 💥🌪 Ca: 0x0F8ac22B85076F9BfE0b93Cc49FB6426CB150F88 Totem - 你的思想引领方向 TG: https://t.me/OfficialTotemToken X: https://x.com/OFFTotemToken
🔥12❤6😁5🎉4👍4
Cooking something good you can make easy 5x
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TittieCoin 复活了 2014 年基于粗俗的胸部双关语和“人人都爱胸部”吸引力而构建的替代币。 原始的 BitcoinTalk 帖子推广了一种带有摩托艇笑话、8008 端口和乳腺癌慈善关联的 scrypt 币,现由 OG 在 Solana 上重新发布 Ca :CMmMKQJZbRFBAfUM3mraXaVyEjjTMWUtBaUcSEDGpump 官方 X : https://x.com/tittiecoin_?s=11 TG : https://t.me/Tittiecoincommunity X 社区: https://x.com/i/communities/2029579179709358572
😁7❤6👍6🎉3🔥3
也去购物了 $CATE 好的支撑位建立在 15m~ 左右,现已翻倍并回踩至 30m。在此位置守住将非常关键,因为这是该 liq 级联之后的下一个点位(并打破了结构)。 下一个明显目标是 ATH (77m),之后则取决于实力。 poorgoat 作为主要角色站在此处背后,其他人则在回调时集体拉升,这绝非儿戏。在如此短的时间内(约 1 周)就有 63k 持有者。 https://trade.padre.gg/trade/solana/Ai66LHZG9MCzg1WKdawwqduVAXpNDUuV8M3uyq5ppump?rk=traderpow
😁8🎉6🔥4❤3👍3
$CATE 正逼近首个阻力位。 一旦突破该阻力位并刷新历史新高(ATH),Catecoin 就将开启一场加密货币领域前所未见的、备受争议(甚至遭人痛恨)的暴涨行情。 合约地址 (CA):Ai66LHZG9MCzg1WKdawwqduVAXpNDUuV8M3uyq5ppump
❤7😁6👍4🎉3🔥2
Catecoin Buy! 🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢 🔀 Spent $382.57 (5.217 SOL) 🔀 Got 12,417 CATE 👤 Buyer / TX 🪙 Position +1000% 💸 Market Cap $29,614,519 DexT | Screener | Buy | Trending 🥉 #3 On SOL Trending 🔥
😁7👍6🎉4🔥4❤1❤🔥1
Showing the 12 most recent of 29 posts we hold for @ChineseWhaleCNN. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@OfficialTotemToken · 4142 postsCateCoin PORTAL
@catecoin_telegram · 19,4381 postDOG WIF HOOD portal
@DOGWIIFH6900 · 401 postRick
@rick · 61,8131 post@SOLTRENDING | Official
@SOLTRENDING · 437,7891 post$TUZKI
@tuzki_tg · 441 postWinPoop 🏆💩 - PvP Portal
@winpoopofficial · 1781 postX-MAN
@XManRobinhood · 441 post
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“中國和亞洲鯨魚 CHINESE CALLS” (@ChineseWhaleCNN), 11,222 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ChineseWhaleCNN.
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.