桂正和屁股画集上架开卖。 https://www.genkosha.co.jp/book/b10205111.html
🤣5

Channel
@freechinese
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
27,568subscribers
+205 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001570215033 |
|---|---|
| Type | Channel |
| Username | @freechinese |
| Description | 世界与你同步 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/freechinese |
National news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 |
|---|---|---|
| 19 Sept 2026, 17:15 | 27,568 | -4 |
| 17 Sept 2026, 07:15 | 27,572 | +26 |
| 15 Sept 2026, 05:55 | 27,546 | +24 |
| 13 Sept 2026, 15:20 | 27,522 | +13 |
| 11 Sept 2026, 19:37 | 27,509 | -13 |
| 9 Sept 2026, 11:35 | 27,522 | +10 |
| 6 Sept 2026, 07:16 | 27,512 | +38 |
| 4 Sept 2026, 01:22 | 27,474 | +16 |
| 2 Sept 2026, 13:47 | 27,458 | +1 |
| 1 Sept 2026, 15:43 | 27,457 | +3 |
| 31 Aug 2026, 19:16 | 27,454 | +14 |
| 30 Aug 2026, 20:34 | 27,440 | +3 |
| 29 Aug 2026, 23:35 | 27,437 | +6 |
| 29 Aug 2026, 02:49 | 27,431 | +27 |
| 28 Aug 2026, 00:47 | 27,404 | +15 |
| 26 Aug 2026, 21:24 | 27,389 | -1 |
| 25 Aug 2026, 22:24 | 27,390 | +9 |
| 24 Aug 2026, 20:27 | 27,381 | +7 |
| 23 Aug 2026, 05:27 | 27,374 | +18 |
| 21 Aug 2026, 17:08 | 27,356 | first reading |
687 posts held, back to 6 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 60 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 248 of 316 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 September 2026 |
|---|---|
| Posts held | 687 (6 August 2026 – 19 September 2026) |
| Views total | 204,745 |
| Reactions total | 1,824 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Sept 2026, 19:58 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 19 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 239 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.
4,927 reactions across 555 posts, in 42 distinct kinds. The most used accounts for 16.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 801 | 16.3% | |
| 👍 | 742 | 15.1% | |
| 😁 | 661 | 13.4% | |
| 🤣 | 560 | 11.4% | |
| ❤ | 330 | 6.70% | |
| 🤡 | 252 | 5.11% | |
| 🤮 | 239 | 4.85% | |
| 🙏 | 199 | 4.04% | |
| 🥰 | 195 | 3.96% | |
| 👎 | 134 | 2.72% | |
| 😭 | 125 | 2.54% | |
| 👏 | 116 | 2.35% | |
| 🤪 | 98 | 1.99% | |
| 🍌 | 91 | 1.85% | |
| 😱 | 79 | 1.60% | |
| 🍾 | 60 | 1.22% | |
| 🫡 | 41 | 0.832% | |
| 😨 | 24 | 0.487% | |
| 🖕 | 21 | 0.426% | |
| 🤬 | 20 | 0.406% | |
| 22 further kinds | 139 | 2.82% |
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 569 of the 687 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 4,927 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 687 most recent posts we hold, published 6 August 2026 to 19 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.
桂正和屁股画集上架开卖。 https://www.genkosha.co.jp/book/b10205111.html
🤣5
敢问世界上哪个国家的国防部长能做到 海格塞斯黎明即起,在德克萨斯州与学员兵一同训练,他亲自为他们打气:“大家早上好,欢迎来到战争部!国防部不只存在于五角大楼里,它就存在于这样的地方。” 这就是美国的国防部长。 他利用周六的时间来提振士气,并确保美国拥有历史上最精锐的军队。
👍11🤡6😁3❤1👏1💯1🤪1
铲屎的生日快到了,八只猫最近神神秘秘
😭7❤2
亲爱的共产主义 请赐予我前行的力量
👎5❤1👍1🥰1
莫斯科市中心发生宾利车祸,陪聊模特致人死亡 一辆宾利添越在转弯时未能避让摩托车。43岁的EMS有限责任公司首席执行官杰尼斯·戈林(Denis Gorin)当场身亡。目前刑事案件已经立案。 俄罗斯媒体报道称,事发时宾利由27岁的克里斯蒂娜·鲍里索娃(Kristina Borisova)驾驶,她此前已被吊销驾照。据报道,她在车祸发生后还试图逃离现场。 电报频道VChK-OGPU称,鲍里索娃曾是一名模特,其个人资料曾出现在与伴游服务相关的网站上。据称她还以安排模特从事伴游工作而闻名。 同一消息来源称,她曾收到卢克油(LUKOIL)副总裁谢尔盖·平图斯(Sergei Pintus)赠送的昂贵礼物和花束,并与高级官员有着联系。 据报道,这辆宾利本身已经累计了146起交通违章罚款,包括超速、闯红灯和驶入逆向车道。
1公斤冻牛肉解冻后仅剩400克 近日,餐饮店老板李先生反映,自己长期在快驴平台订购食材,其中一款嫩滑牛肉片包装标注净含量1公斤,解冻后称仅有400-480克。从4月起店里生意下滑,牛肉反而不够用,花2斤牛肉钱,到手鲜肉不足1斤,几个月下来累计损失近2万元。李先生向平台反馈后,客服称是正常情况,冻品存在出水率,愿意补偿100元。 为一探究竟,记者亲自测试,将10包冰冻牛肉逐个过秤,每包重量为1010克;自然解冻后称重依然是1010克,但当将浆水洗净后再次称重牛肉,仅剩520克。对此,平台客服表示,冻品出水率为6%-10%;承诺会联系采购排查供应商情况,若产品出问题,平台会作出相应处罚;对消费者而言,仅愿意赔偿100元。 律师表示,餐饮商户采购食材用于经营受法律保护。商户可要求退货退款,或补齐差额损失。若平台明知销售的产品存在计量问题未采取下架、屏蔽、报告等必要措施,商户也可向市场监管部门投诉举报,由监管部门介入调查,对销售者…
🤮3
首次发布的新画面展示了乌克兰喷气式截击无人机成功实战拦截俄罗斯喷气式无人机的过程。 这些截击机本身采用喷气动力,并配备了三角翼构型。画面显示了一系列地面发射过程,随后成功拦截了一架俄罗斯的“天竺葵-5”(Geran-5)喷气式自杀式无人机。 据报道,“天竺葵-5”的巡航速度约为每小时450至600公里。
👍3
Kaiann 说中文
马斯克的跨性别儿子出演了蒂埃里·穆勒(Mugler)“令人毛骨悚然”的全新女性时尚广告大片。 这位跨性别模特自与他著名的父亲断绝关系并公开批评对方以来,已经成为了众多品牌的代言人。 马斯克此前曾表示,他的儿子已经被“觉醒思想病毒所杀死”。
AI 短剧 2 个月赚近 59 万。
👎5💩1
金正恩视察朝鲜无人机军工企业
为什么日本人的身高被中国和韩国超越了 据《日经新闻》报道,自 20 世纪 90 年代以来,日本人的平均身高一直停滞不前,并被中国和韩国超越,这主要是由于能量和营养摄入量减少,以及年轻女性节食导致低出生体重婴儿增加等因素造成的。 根据国际研究小组的数据,1999年日本19岁人群的平均身高男性约为172.1厘米,女性约为158.5厘米;相比之下,韩国19岁人群的平均身高男性约为175.5厘米,女性约为163.2厘米;中国19岁人群的平均身高男性约为175.7厘米,女性约为163.5厘米。造成这种差异的主要因素如下: 能量和营养摄入停滞: 自1995年以来,日本人的能量摄入量持续下降并停滞不前,不仅低于中国和韩国的供应量,而且食品质量也有所下降,尤其是在年轻一代中。 低出生体重儿数量增加: 在日本,大约每十个婴儿中就有一个是“低出生体重儿”,体重不足 2500 克,这一比例高于中国和韩国。 怀孕期间的极端体重管理: 有研究指…
❤2👍1
Showing the 12 most recent of 687 posts we hold for @freechinese. 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.
@freechinese edited 1 post 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.
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 2 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 10 September 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 4 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“FREE 中文” (@freechinese), 27,568 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/freechinese.
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.