江蘇常州 - 蘇南曾經繁華的城市商業街 如今經濟慘淡如鬼城 😎 匿名投稿
👍1🔥1

Channel
@XueXi_China
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
87,338subscribers
-551 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001364377229 |
|---|---|
| Type | Channel |
| Username | @XueXi_China |
| Description | 投稿机器人: @laohuhaha_bot 网页在线投稿:https://gfwbao.com #大自爆运动 :用真相对抗谎言 #大冲塔运动 :同志们冲啊🏃♂️! #大传单运动 :理念传达四方(但安全第一!) 习近平倒车加速车友会🐸群: @SpeedUpCN 墙国蛙蛤蛤🐸推特: https://x.com/GFWfrog 墙国蛙蛤蛤🐸油管: https://youtube.com/@GFWfrog 友台: 维尼之声 @VoiceofPooh 乳透社 @Ruters0615 |
| Created | 14 September 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/XueXi_China |
Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 16:41 | 87,338 | -9 |
| 15 Sept 2026, 13:41 | 87,347 | +32 |
| 13 Sept 2026, 21:39 | 87,315 | -16 |
| 12 Sept 2026, 03:59 | 87,331 | -37 |
| 9 Sept 2026, 20:54 | 87,368 | -22 |
| 6 Sept 2026, 14:57 | 87,390 | -45 |
| 4 Sept 2026, 05:21 | 87,435 | -14 |
| 2 Sept 2026, 17:28 | 87,449 | -23 |
| 1 Sept 2026, 16:59 | 87,472 | -24 |
| 31 Aug 2026, 19:14 | 87,496 | -22 |
| 30 Aug 2026, 20:47 | 87,518 | -18 |
| 29 Aug 2026, 21:14 | 87,536 | -62 |
| 28 Aug 2026, 17:57 | 87,598 | -4 |
| 27 Aug 2026, 14:32 | 87,602 | +3 |
| 26 Aug 2026, 13:47 | 87,599 | -17 |
| 25 Aug 2026, 13:12 | 87,616 | -30 |
| 24 Aug 2026, 15:19 | 87,646 | -57 |
| 22 Aug 2026, 19:59 | 87,703 | -25 |
| 21 Aug 2026, 09:45 | 87,728 | -19 |
| 20 Aug 2026, 10:57 | 87,747 | first reading |
1,018 posts held, back to 5 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 101 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 609 of 634 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 1,018 (5 August 2026 – 24 September 2026) |
| Views total | 732,367 |
| Reactions total | 11,900 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 11:33 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 24 September 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 213 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.
18,532 reactions across 931 posts, in 55 distinct kinds. The most used accounts for 28.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 5,299 | 28.6% | |
| 👍 | 1,367 | 7.38% | |
| 🔥 | 1,331 | 7.18% | |
| ❤ | 1,214 | 6.55% | |
| 🤮 | 1,159 | 6.25% | |
| 🤡 | 1,077 | 5.81% | |
| 🤣 | 1,055 | 5.69% | |
| 👏 | 974 | 5.26% | |
| 🥰 | 592 | 3.19% | |
| 💩 | 516 | 2.78% | |
| 🫡 | 497 | 2.68% | |
| 😱 | 487 | 2.63% | |
| 🤬 | 365 | 1.97% | |
| 🖕 | 340 | 1.83% | |
| 😈 | 222 | 1.20% | |
| 🎉 | 209 | 1.13% | |
| 💯 | 205 | 1.11% | |
| 👌 | 204 | 1.10% | |
| 🍾 | 185 | 0.998% | |
| 😭 | 163 | 0.88% | |
| 35 further kinds | 1,071 | 5.78% |
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 937 of the 1,000 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 18,532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 7 August 2026 to 24 September 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.
江蘇常州 - 蘇南曾經繁華的城市商業街 如今經濟慘淡如鬼城 😎 匿名投稿
👍1🔥1
黑箱審判不敢見光!山東維權義士張超悼念六四遭扣口袋罪 法院臨時改不公開審理 淪陷區山東棗莊維權義士、出家僧人張超(法名釋道果),因今年六四期間前往北平天安門外拍照並附詩悼念,慘遭政治警察跨省抓捕並強扣尋釁滋事罪名。該案原定於昨(23日)在山亭法院公開審理,多名關心正義的公民特地前往旁聽,不料審判長遲到後竟無預警臨時宣布改為不公開審理,將所有民眾強行驅逐出庭。其中前去旁聽的八九六四老兵張世軍,其車輛在途中竟遭黑手惡意刺入兩個大釘子並劃傷車門,展現出體制陰險卑劣的打壓手段! 張超先生早年在北平務工覺醒後,多年來不避艱險推動網路民主啟蒙,即便後來剃度出家云遊四海,依然心繫苦難同道與國家前途,甚至因而屢遭地方當局驅逐。今年六四天安門紀念日,他僅憑良知在天安門外以詩文哀悼國難,便遭體制視為眼中釘大肆圍剿。一位慈悲懷胸的出家修行者,只因說真話、記住歷史真相,便被迫面臨黑牢迫害,連前往關心的旁聽公民都遭到暗算恐嚇。廣大災胞在無處不在的恐怖…
🤬3👏1🔥1😈1
🇹🇼 【週四下午樹洞:在那個充滿霸凌的體制裡,妳有多久沒為自己活了?】 🇹🇼 各位在體制內撐起半邊天,卻又獨自嚥下無數委屈的女性同胞們: 我是林子育。 又到了禮拜四下午,一週最難熬的時候。去洗手間補個妝、或者躲在隔間裡滑一下手機,給緊繃的神經幾分鐘喘息的時間吧。 在那個由男性主導的權力系統裡,我知道妳們走得比誰都吃力、也比誰都壓抑。表面上,妳是體面安穩的公務員、幹練的女警、或是基層單位裡無所不能的大管家。但只有妳自己知道,這份光鮮亮麗背後,要吞下多少難以啟齒的苦水。 妳是不是又被理所當然地推去寫那些永遠改不完的匯報材料、做那些繁瑣的表格,甚至包攬了端茶倒水的會務?長官應酬時,是不是又要被迫去酒桌上陪笑、聽那些油膩又充滿爹味的說教與黃色笑話?明明妳的能力與付出不輸給任何人,但到了升遷提拔的關鍵時刻,卻總因為「女同志重心要放家庭」、「響應國家政策生二胎三胎」這些冠冕堂皇的理由,被那層隱形的天花板死死壓住。 在單位裡要懂事聽…
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突发:据 #梁家河时报 ,习近平抵美后,要求美方安排同等中国大陆最高接待礼遇,美方百思不解随即顿悟,对包子进行全身无死角安检,并核验对方合法护照证件,采集生物信息,提取手机信息等一系列中共常规操作。 😎 匿名投稿
❤6👍3😁3
包子已到达北京 😎 匿名投稿
🤮18🔥1
半生演佛,一念入魔,可这魔道,是你能承受的吗?
👏36🎉19🔥2
😎 匿名投稿
😁9🤬2🔥1
两党独裁🤣 😎 匿名投稿
🤡20💯2😁1
影帝想你了😭😭😭 😎 匿名投稿
😁17🔥2😭1
学习墙国🐸 pinned a video
原来我们都错怪川普总统了,他站在习近平旁边就这么一直憋着,直到B-1枪骑兵震耳欲聋的直接从习进平头顶突然轰鸣掠过,川普一脸坏笑实在憋不住了,转头对习近平就是一句:“声音真大!”川普总统真懂怎么震慑人心,不佩服不行。这边眼看着习近平脸就黑了下来,只见他眼角余光一扫,立刻转头对着川普总统换上人畜无害的招牌笑容,言不由衷的向川普总统一顿猛夸。只不过,铁青色脸色那是任谁都看得出啊。这也不能怪他,自他掌权以来,“拳打北美猛虎,脚踢南海苍龙”,人类命运共同体的缔造者什么时候受过这种鸟气!
😁17🌭1
😎 匿名投稿
😁12
Showing the 12 most recent of 1,018 posts we hold for @XueXi_China. 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.
@XueXi_China edited 4 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.
Named by 6 registered channels — 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 30 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“学习墙国🐸” (@XueXi_China), 87,338 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/XueXi_China.
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.