😅
🤡16💅1

Channel
@wearemjj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
9,731subscribers
+235 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001277013847 |
|---|---|
| Type | Channel |
| Username | @wearemjj |
| Description | 寸草不生 https://t.me/boost/wearemjj |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/wearemjj |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 19:48 | 9,731 | -3 |
| 2 Nov 2026, 03:57 | 9,734 | -3 |
| 30 Oct 2026, 10:28 | 9,737 | +16 |
| 27 Oct 2026, 16:31 | 9,721 | -3 |
| 24 Oct 2026, 18:26 | 9,724 | -8 |
| 21 Oct 2026, 23:19 | 9,732 | +28 |
| 18 Oct 2026, 10:41 | 9,704 | +26 |
| 15 Oct 2026, 06:10 | 9,678 | +20 |
| 12 Oct 2026, 13:00 | 9,658 | +54 |
| 5 Oct 2026, 09:17 | 9,604 | +17 |
| 26 Sept 2026, 22:16 | 9,587 | +23 |
| 17 Sept 2026, 21:21 | 9,564 | +12 |
| 13 Sept 2026, 18:22 | 9,552 | +1 |
| 9 Sept 2026, 18:36 | 9,551 | -7 |
| 4 Sept 2026, 15:56 | 9,558 | -6 |
| 1 Sept 2026, 12:25 | 9,564 | -2 |
| 29 Aug 2026, 20:17 | 9,566 | +1 |
| 26 Aug 2026, 22:23 | 9,565 | -7 |
| 23 Aug 2026, 16:56 | 9,572 | -5 |
| 19 Aug 2026, 20:55 | 9,577 | first reading |
195 posts held, back to 4 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 43 pages of Telegram’s post history, 20 posts per page.
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 26 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 195 (4 August 2026 – 7 November 2026) |
| Views total | 60,992 |
| Reactions total | 361 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 09:53 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.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 41 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
1,831 reactions across 165 posts, in 47 distinct kinds. The most used accounts for 19.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 362 | 19.8% | |
| 😁 | 341 | 18.6% | |
| 🤣 | 214 | 11.7% | |
| 👾 | 128 | 6.99% | |
| 👍 | 73 | 3.99% | |
| 💅 | 68 | 3.71% | |
| 🌭 | 65 | 3.55% | |
| 😭 | 61 | 3.33% | |
| 🤮 | 45 | 2.46% | |
| 🍾 | 44 | 2.40% | |
| ❤ | 43 | 2.35% | |
| 🫡 | 42 | 2.29% | |
| 🥰 | 37 | 2.02% | |
| 😱 | 35 | 1.91% | |
| 😍 | 29 | 1.58% | |
| 👨💻 | 24 | 1.31% | |
| 🤯 | 24 | 1.31% | |
| 👎 | 23 | 1.26% | |
| 🙏 | 21 | 1.15% | |
| 😇 | 18 | 0.983% | |
| 27 further kinds | 134 | 7.32% |
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 168 of the 195 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 1,831 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 195 most recent posts we hold, published 4 August 2026 to 7 November 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.
Telegram’s own ‘edited’ marker: 5 of 34 posts held from the last 30 days (14.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
😅
🤡16💅1
真的假的?🤨
👍4
美国投资研究机构Fundstrat的分析师汤姆·李表示,周四美股暴跌完全出乎他的意料,但他认为,这次抛售与此前三次市场冲击存在相似之处。 他指出,过去三次冲击中,市场最多只用了三天就触底,随后都出现了V形反弹,部分情况下,股市在六个月内上涨超过20%。 主持人:“纳斯达克指数下跌5.25%,道琼斯工业平均指数下跌近1800点,跌幅达到3.33%。要找到与今天类似的市场走势,恐怕得追溯到2025年4月,也就是特朗普宣布对等关税的所谓‘解放日’。 现在距离收盘还不到30分钟。Fundstrat分析师汤姆·李就在演播室里。根据你昨天对我说的话,我想你应该没有预料到今天会出现这样的行情。” 汤姆·李:“完全没有预料到。 不过,正如你刚才指出的,这次行情很像关税‘解放日’的市场冲击,也有DeepSeek事件和‘态势感知’事件的影子。 这次我们遭遇的是政策冲击。民主党在选举中掀起的‘蓝色海啸’,再加上一些令人恐慌的言论,都对市场…
事到如今,最对不起的就是MJJ 开始回暖了了,应该是利空出尽
😇14💊2🕊2
Sticker, posted without a caption
💊2🤣2❤1🍾1🤡1
💰 免费激活 Google AI Pro 12 / 24 个月」| offer token 注入 外面卖的「Google AI Pro 12 / 24 个月」实质就是换了一串 offer token,不是真订阅。点订阅后浏览器会向 Play 发送 eacquire/multiline 请求,ear 参数里的 items 挂着 offer token,服务端只认 token 不认页面价格——换成 12 个月免费的 token,弹窗就显示 US$0.00。 24 个月套餐由 12 个月 + 6 个月(三星 S25)+ 6 个月(Pixel)叠加在一起,叠完后在 Play 取消自动续订,到期后不会再扣钱。 优惠的offer token 商品前缀: subs:com.google.android.apps.subscriptions.red:g1.2tb.ai.subs_variant 12个月 AVbCH/cspB8VdqKJ+…
❤4
https://www.nodeseek.com/post-1032171-1
应该都放出来了吧
🌭3🥱1
🤡😂 【何一确认币安曾开除用工作电脑下载爱奇艺的员工,回应安全事件称「认栽买单,但不能再犯」】 Foresight News 消息,何一在 X 平台回应币安安全事件及内部设备管理相关讨论时,确认此前流传的员工因使用工作电脑下载爱奇艺而被开除一事发生于币安,并表示:「用工作电脑下载爱奇艺被开的也是币安。认栽买单,但不能再犯。」 https://foresightnews.pro/news/h5Detail/116807
🤡11👍2🌚1
币安称黑客通过虚假工作面试入侵工程师笔记本电脑 2026-11-04 14:07 by 图书馆员与追寻鹅妈妈 币安官方博客披露了黑客如何窃取价值 63 亿美元加密货币的初步调查报告。报告称,攻击始于今年六月: 2026 年 6 月——供应链攻击。钱包开发运维团队的工程师 A 为安装一款热门 AI 编程工具,通过搜索引擎查找并下载了一个遭篡改的 Homebrew 安装程序。我们的安全团队主动检测到了这一异常,更换了该设备,同时轮换了所有相关凭证。尽管如此,工程师 A 的岗位信息,以及其钱包基础设施团队中的相关同事信息,仍已暴露给攻击者。 https://www.binance.com/zh-CN/blog/%E7%A4%BE%E5%8C%BA/3229153443759566763 #安全
🤡8🤣6😨1
Photo, posted without a caption
🤣7👻3🤡2❤1
我就选购5090至于吗
😁4❤3🔥1
Showing the 12 most recent of 195 posts we hold for @wearemjj. 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.
@wearemjj edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“MJJ出征” (@wearemjj), 9,731 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/wearemjj.
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.