胡锡进也跟风跑去看《牛来》了
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Channel
@freechinese
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
27,298subscribers
-65 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 | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/freechinese |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 19:34 | 27,298 | -6 |
| 12 Aug 2026, 10:47 | 27,304 | -9 |
| 11 Aug 2026, 13:04 | 27,313 | +13 |
| 10 Aug 2026, 14:21 | 27,300 | -5 |
| 9 Aug 2026, 17:22 | 27,305 | -44 |
| 8 Aug 2026, 20:18 | 27,349 | -16 |
| 7 Aug 2026, 22:08 | 27,365 | +2 |
| 7 Aug 2026, 10:45 | 27,363 | first reading |
183 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 21 pagesof 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 159 of 183 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 183 (6 August 2026 – 15 August 2026) |
| Views total | 153,860 |
| Reactions total | 1,659 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 15:30 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 15 August 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 47 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.
1,659 reactions across 157 posts, in 28 distinct kinds. The most used accounts for 20.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 334 | 20.1% | |
| 👍 | 290 | 17.5% | |
| 😁 | 234 | 14.1% | |
| 🤣 | 138 | 8.32% | |
| 🤮 | 99 | 5.97% | |
| ❤ | 97 | 5.85% | |
| 🤡 | 67 | 4.04% | |
| 🙏 | 65 | 3.92% | |
| 🥰 | 62 | 3.74% | |
| 😭 | 48 | 2.89% | |
| 👎 | 37 | 2.23% | |
| 👏 | 36 | 2.17% | |
| 🫡 | 29 | 1.75% | |
| 🍌 | 25 | 1.51% | |
| 😱 | 22 | 1.33% | |
| 🤪 | 14 | 0.844% | |
| 🍾 | 12 | 0.723% | |
| 🤬 | 12 | 0.723% | |
| 🎉 | 9 | 0.542% | |
| 🖕 | 9 | 0.542% | |
| 8 further kinds | 20 | 1.21% |
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 159 of the 183 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 1,659reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 183 most recent posts we hold, published 6 August 2026 to 15 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.
胡锡进也跟风跑去看《牛来》了
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“汉奸石平参拜靖国神社”登上微博热搜榜
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《牛来》火到台湾了
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澳外长以国家安全为由叫停山东大学澳国立联合理学院 澳大利亚外交部长黄英贤以国家安全为由叫停了澳大利亚国立大学和昆士兰大学分别与两所中国院校和机构达成的合作协议。 据《澳大利亚人报》周四获取的一封信函显示,黄英贤宣布澳大利亚国立大学与山东大学之间的合作安排“无效且不可执行”。黄英贤通知澳大利亚国立大学,必须在明年1月18日前完成相关项目的终止工作。 中国教育部的信息显示,山东大学澳国立联合理学院办学总规模为1200人,但澳大利亚国立大学拒绝透露目前实际有多少学生注册。已经参与该项目的学生则可以选择转入澳大利亚国立大学现有的本科或研究生课程。 与此同时,昆士兰大学与中国科学院之间的一项涉及澳大利亚本土植物止痛研究的合作也被终止。根据澳大利亚《对外关系法》,黄英贤作为外长有权取消与外国实体之间不符合澳大利亚外交政策的安排。 澳大利亚国立大学表示将遵守政府的这一指令。据澳大利亚国立大学科学与医学学院官网介绍,山东大学澳国立联合…
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日本国防部长小泉参拜靖国神社
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叛国贼石平(右一)参拜靖国神社。
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高市早苗遥拜靖国神社
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日本举行全国战殁者追悼仪式 日本政府主办的“全国战殁者追悼仪式”15日在日本武道馆举行。出席的遗属等悼念先前大战中死难的约310万人并祈愿和平。首相高市早苗在就任后的首次致辞中没有提到“反省”。表示有意出席仪式的遗属中战后出生者创新高。当前国际局势混乱,日本国内包括解禁武器出口等正在推进从战后安保政策的转型,在此情况下,如何传承战争惨剧的记忆和教训受到考验。 高市在致辞中称“绝不能让战争惨剧重演,将继承这一坚定誓言并代代相传”。前首相石破茂去年在致辞中使用了“反省”一词,这是从民主党政权以来时隔13年使用该表述,但高市此次没有提及“反省”。自2013年时任首相安倍晋三起,日本首相不再提及对亚洲各国的加害责任,高市也同样没有提及。 中午12点,参加者集体默哀。天皇在致辞中表示“今后将继续讲述战时和战后的苦难经历”,这是去年致辞中新加进的表述。天皇同时表示“衷心祈愿未来能继续追求和平与人民的幸福”,并沿用了往年“深刻反省”的表…
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高市从日本武道馆遥拜靖国神社 日本首相高市早苗在抵达举行“全国战殁者追悼仪式”的日本武道馆之际,向着距离数百米远的靖国神社做出了“二拜二拍手一拜”动作。高市身边人士说明称“这是向着靖国神社进行遥拜”。
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中方对日本阁僚参拜靖国神社提出强烈抗议 中国外交部发言人15日就日本首相高市早苗向靖国神社献上“玉串料”、高市内阁阁僚进行参拜一事提出强烈谴责,并发表谈话称“已向日方提出严正交涉、强烈抗议”。
👍14💩4👎1🤣1
日本国防部长小泉到靖国神社参拜 日本防卫相小泉进次郎在“终战日”15日参拜了位于东京九段北的靖国神社。这是2024年8月15日的木原稔之后,再次有在职防卫相参拜。冲绳北方担当相黄川田仁志、经济财政担当相城内实、经济安全保障担当相小野田纪美也前往参拜。自民党干事长铃木俊一、总务会长有村治子以及选举对策委员长西村康稔一同参拜。首相高市早苗通过铃木向靖国神社献上“玉串料”(祭祀费)。铃木表示,高市作为自民党总裁自费支付相关费用。 靖国神社合祀着远东国际军事法庭(东京审判)的甲级战犯。中国外交部发言人就高市献上祭祀费及阁僚参拜一事发表谈话,称已提出强烈抗议。高市拟放弃参拜,她造访了东京都的千鸟渊战殁者墓苑并献花。 铃木表示:“我充分了解高市总裁对英灵的心情,因此领会总裁的想法进行了参拜。” 小泉在社交平台X上解释称,“在发出不战誓言的同时,再次下决心今后也负起战后日本和平国家历程积累起来的责任”。他在担任农相的2025年、担任环…
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国产最强院线电影《牛来》
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Showing the 12 most recent of 183 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.
Citation-graph rank — 644,455 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“FREE 中文” (@freechinese), 27,298 subscribers as measured 14 August 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.