如果没有 AI,一辈子也看不到
❤7

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
27,572subscribers
+209 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 | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 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 |
|---|---|---|
| 26 Sept 2026, 18:37 | 27,572 | +4 |
| 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 | first reading |
816 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 71 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 198 of 251 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 816 (6 August 2026 – 29 September 2026) |
| Views total | 154,971 |
| Reactions total | 1,468 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 00:34 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 30 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 308 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.
5,661 reactions across 653 posts, in 46 distinct kinds. The most used accounts for 14.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 840 | 14.8% | |
| 💩 | 829 | 14.6% | |
| 😁 | 720 | 12.7% | |
| 🤣 | 675 | 11.9% | |
| ❤ | 393 | 6.94% | |
| 🤡 | 328 | 5.79% | |
| 🤮 | 259 | 4.58% | |
| 🥰 | 246 | 4.35% | |
| 🙏 | 242 | 4.27% | |
| 👎 | 163 | 2.88% | |
| 👏 | 159 | 2.81% | |
| 😭 | 125 | 2.21% | |
| 🤪 | 109 | 1.93% | |
| 🍌 | 105 | 1.85% | |
| 😱 | 94 | 1.66% | |
| 🍾 | 83 | 1.47% | |
| 🫡 | 50 | 0.883% | |
| 😨 | 25 | 0.442% | |
| 🤬 | 25 | 0.442% | |
| 🖕 | 21 | 0.371% | |
| 26 further kinds | 170 | 3.00% |
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 671 of the 816 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 5,661 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 816 most recent posts we hold, published 6 August 2026 to 29 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.
如果没有 AI,一辈子也看不到
❤7
四卡三待手机诞生 网传华为 Mate 90 Pro Max 支持双实体 SIM + 双 eSIM,可同时在线三张卡,即四卡三待。
😱7💩5👍2🆒2🤮1
刚刚, America.gov 正式上线。
👍1
日本留学生非常喜欢小米手机
👍1💩1
一名中国女孩去阿姆斯特丹旅行时,乘坐电车途中忘了拿自己的包,包里有钱包、手机和护照。眼看电车渐渐远去,她顿时惊慌失措。 她和朋友在车站等候,每来一辆电车,就向司机和乘客打听包的下落。后来,她们遇到一位热心人,对方帮她找回了包里的所有物品。 这时,女孩像孩子一样哭了起来,那位男士则像安慰女儿般安慰她。
❤9👍4🍌2👏1
日本士兵小野田宽郎在菲律宾丛林中坚持作战 29 年,因为他不相信第二次世界大战已经结束。 直到 1974 年,他昔日的上级亲自飞到当地,正式解除他的任务,他才投降。 BBC:https://www.bbc.com/zhongwen/simp/world-61257566 维基百科:https://zh.wikipedia.org/zh-cn/小野田寬郎
😁8🕊5🤡4👍2🫡1
美国移民执法突击行动在塔拉哈西一家热门墨西哥卷饼店外展开时,餐车工作人员纷纷躲避美国移民与海关执法局(ICE)人员。 监控录像显示,几名员工在三名员工被拘留并带走前,曾试图逃离执法人员。据当地媒体报道,这些员工来自危地马拉。 这场行动的后续影响正波及这家餐馆。Chile & Chili’s Taqueria 已永久关闭其位于田纳西街的店面。店主表示,突击行动后还有其他员工辞职。
袁腾飞当上美帝的爹了
👍13🤣6😁6🥰2
突发:俄罗斯空天军又损失一架重要的图波列夫 Tu-95MS 核能力战略轰炸机。飞机在阿穆尔州坠毁,机上 7 名机组人员中有 6 人丧生。事故发生时,飞机正处于着陆最后进近阶段。
👍5
重大新闻:美军将在明天前撤出伊拉克,结束长达 20 多年的驻军。期间共有 4,500 名美国人丧生。 伊朗支持的组织称此举是“历史性胜利”,也是“美国计划遭受的惨败”。 伊拉克安全官员警告称,此次撤军为时过早。 最后一名在伊拉克阵亡的美军士兵于 7 月在埃尔比勒附近的一起无人机爆炸事件中身亡。 今年伊朗战争中阵亡的 18 名美军人员里,有 7 人死在伊拉克。
🍾9🙏3🤣2
北理工取消裴轶研究生导师资格 依据相关规定,经研究决定,取消裴轶研究生指导教师资格,撤销其北京理工大学教师岗位任职资格,解除聘用关系。
👏21😁5🤣4🤷♂2❤1
中国高层罕见连续两天会见日方人士 要求纠正涉台言论 中国外交部长王毅28日在北京与访华的日本前外相岩屋毅会谈,国务院副总理何立峰29日也与岩屋举行了会谈。自日本首相高市早苗去年11月的涉台国会答辩导致双边关系恶化以来,这是中国高层首次与日本国会议员会谈,连续两天安排会见实属罕见。王毅强调,“紧迫的是(日方)尽快纠正本国领导人在台湾问题上的错误言行”。 据分析,习近平领导层礼遇重视日中关系的日本政界人士及经济界领袖,意在促使高市政府改变对华态度。 岩屋作为致力于推动对华经贸交流的日本国际贸易促进协会(国贸促)会长率团访华。会谈时国贸促的成员也在座。王毅和何立峰均为中共中央政治局委员,目前政治局共有21人。 据中国外交部称,王毅在会谈中就日中关系指出“有待再次实现正常化”。 国贸促前会长是今年6月去世的前众院议长河野洋平。王毅高度评价河野“敢于直面日本过去的黑暗历史,勇于反省军国主义的侵略罪责”。王毅还指出,今年是远东国际…
🤡7👍3👎3❤1🤣1🤮1
Showing the 12 most recent of 816 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“FREE 中文” (@freechinese), 27,572 subscribers as measured 26 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.