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Channel

FREE 中文

@freechinese

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

27,773subscribers

+410 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001570215033
TypeChannel
Username@freechinese
Description世界与你同步
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/freechinese

Topic

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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 18 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@freechinese/108265 · this entry23 Aug 2026, 01:17 UTC@neihanduanzi1/7345523 Aug 2026, 03:09 UTC1.001.9 hours
@freechinese/108877 · this entry31 Aug 2026, 13:14 UTC@neihanduanzi1/7448831 Aug 2026, 13:51 UTC1.0036 minutes
@freechinese/109104 · this entry4 Sept 2026, 05:11 UTC@neihanduanzi1/750144 Sept 2026, 06:12 UTC1.0060 minutes
@freechinese/111089 · this entry28 Sept 2026, 05:10 UTC@neihanduanzi1/7881028 Sept 2026, 06:47 UTC1.001.6 hours
@freechinese/111281 · this entry30 Sept 2026, 12:48 UTC@neihanduanzi1/7924030 Sept 2026, 15:15 UTC1.002.4 hours
@freechinese/112288 · this entry12 Oct 2026, 13:23 UTC@neihanduanzi1/8064112 Oct 2026, 16:50 UTC1.003.5 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@neihanduanzi157 (8/8 hand-verifiable sample passed)1.001.6 hoursthis entry (57–0)
@aichiguaba30 (6/8 hand-verifiable sample passed)1.006.1 hoursthis entry (30–0)
@chigua_e28 (8/8 hand-verifiable sample passed)1.005.4 hoursthis entry (28–0)
@tuigsc27 (7/8 hand-verifiable sample passed)1.0012 hoursthis entry (27–0)
@JPZDY225 (6/8 hand-verifiable sample passed)1.0075 minutesthis entry (25–0)
@cctvzb24 (8/8 hand-verifiable sample passed)1.002.4 hoursthis entry (24–0)
@CG88723 (8/8 hand-verifiable sample passed)1.0065 minutesthis entry (23–0)
@DNYXW88020 (7/8 hand-verifiable sample passed)1.004.8 hoursthis entry (20–0)
@DNYQWCG20 (8/8 hand-verifiable sample passed)1.002.1 hoursthis entry (20–0)
@pyzicg18 (8/8 hand-verifiable sample passed)0.956.1 hoursthis entry (18–0)
@qiqubk18 (7/8 hand-verifiable sample passed)1.002.5 hoursthis entry (18–0)
@chiguaa25817 (8/8 hand-verifiable sample passed)1.0023 hoursthis entry (17–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 817 comparable posts for this entry, running 6 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 18 channels, the one whose matching posts we hold earliest is @freechinese — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 18 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

27,29827,77327,535.57 August 202613 November 2026
65 measurements spanning 98 days, net +410. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 27,227–27,844 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
13 Nov 2026, 03:4727,773+17
10 Nov 2026, 16:5827,756+5
9 Nov 2026, 07:3627,751+5
8 Nov 2026, 00:1927,746+2
6 Nov 2026, 21:5627,744-3
5 Nov 2026, 23:5727,747-2
4 Nov 2026, 23:0627,749+20
3 Nov 2026, 20:2127,729+3
2 Nov 2026, 21:0627,726+10
2 Nov 2026, 00:1727,716+3
31 Oct 2026, 22:3527,713+3
30 Oct 2026, 23:5827,710+2
30 Oct 2026, 00:4027,708+2
29 Oct 2026, 03:1627,706+11
28 Oct 2026, 02:3827,695+14
27 Oct 2026, 04:4927,681-4
26 Oct 2026, 04:1827,685-2
25 Oct 2026, 05:1627,687-6
24 Oct 2026, 03:0427,693-1
23 Oct 2026, 04:5727,694first reading

Engagement

1,710 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 160 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.04%
avg views ÷ 27,773 subscribers
Avg views / post
1,120
489 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
489
of 1,710 held

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 458 of 489 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 November 2026
Posts held1,710 (6 August 2026 – 15 November 2026)
Views total548,700
Reactions total5,234
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 03:03 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.

What this channel posts

Photos
≈16,300
Videos
≈7,980
Links
≈1,250

Lifetime counters from Telegram’s own channel header, read 15 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.

Video runtime
5h 16m
Average length
53s

Measured directly from 361 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.

Reaction mix

8,137 reactions across 848 posts, in 52 distinct kinds. The most used accounts for 14.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,14214.0%
💩1,10613.6%
🤣95811.8%
🤡8039.87%
😁7048.65%
❤5817.14%
🤮3634.46%
👏3213.94%
🙏3103.81%
🥰3083.79%
👎2112.59%
😭1581.94%
💊1411.73%
🤪1101.35%
🎉1051.29%
🍌901.11%
🍾841.03%
🤷‍♂790.971%
😱690.848%
🤬660.811%
32 further kinds4285.26%

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 870 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 8,137 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 24 September 2026 to 15 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.

Recent posts

Telegram’s own ‘edited’ marker: 48 of 489 posts held from the last 30 days (9.82%) 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).

15 Nov 2026, 02:42 UTC120 views1 reactionsread 15 November 2026
Photo

民进党新北市长参选人造势活动上意外撞断门牙 民进党新北市长参选人苏巧慧11月14日在造势活动时,意外撞断门牙,但仍在台上完成演唱。 据台湾《自由时报》等媒体报道,苏巧慧14日晚在新北市新庄区举办大型造势,她表演时意外发生碰撞造成牙齿断裂,但仍在台上忍痛将歌曲唱完才下台,并在休息后又戴着口罩上台。 苏巧慧随后在社媒Threads上发文称,在演唱歌曲时不小心弄断半根牙齿。不过,自己没有大碍,“大家不要担心”。 据报道,现场画面显示,苏巧慧在受撞击后门牙明显缺角,嘴角也带着血迹。 台湾“九合一”选举进入最后阶段,新北市是备受关注的选区之一。

🤡1

15 Nov 2026, 00:26 UTC442 views9 reactionsread 15 November 2026
Video

星舰创造历史,首次在发射塔接住星舰 SpaceX 完成了一项前所未有的壮举,在 Starship 航天器环绕地球近一整天后,在空中成功接住了这艘巨型飞船。 航天器在向其德克萨斯州发射场降落前,绕行地球完成了 14 圈,随后地面上方巨大的机械臂抓住了它。

👏7🥰1🥱1

15 Nov 2026, 00:26 UTC433 views6 reactionsread 15 November 2026
Video

马可·鲁比奥谈朝鲜: “金正恩对征服日本没兴趣,他只想让自己的政权延续下去。 他不是扩张主义者,他并不打算入侵日本、入侵中国之类,他没有这种打算。 伊朗人则是扩张主义者,他们是革命者。”

🤡4👍1🤣1

14 Nov 2026, 23:22 UTC510 views3 reactionsread 15 November 2026

APEC台湾参会代表称未安排与高市举行正式会谈 将代表台湾出席18日、19日在中国深圳举行的亚太经合组织(APEC)会议的施振荣13日向媒体透露说,没有与日本首相高市早苗举行正式会谈的安排。不过,他也表示应该有在会场交谈的机会。施振荣是电脑巨头宏碁(Acer)的创始人。 去年秋天在韩国召开APEC领导人会议之际,高市与代表台湾参会的林信义会谈了约25分钟。高市还在X(原推特)上发帖介绍了与林信义打招呼的情况。中国外交部则进行了批评。 施振荣还表示,以往在APEC领导人会议期间会有的台湾代表记者会今年或许无法召开。

😁2❤1

14 Nov 2026, 13:58 UTC≈1,030 views16 reactionsread 15 November 2026
Photo

日中两国教育楼梯对比

😢8💩5❤1🥱1😭1

14 Nov 2026, 13:27 UTC925 views9 reactionsread 15 November 2026
Photo

日产汽车发布中国本土化研发生产的新车“NX7” 日产汽车13日在中国发布了插电式混合动力车(PHV)“NX7”,并于当天启动预售。这是一款面向年轻消费者的5座中型SUV。作为在中国研发生产的“N系列”新车,日产希望借此在持续低迷的当地市场实现反攻。 日产当天在广东省珠海市举行发布会,重点宣传该车在纯电模式下续航里程可达320公里等卖点。同时,该车还采用了中国新兴企业Momenta的最新驾驶辅助技术。起售价为12.99万元。这是日产到2027年在中国推出5款车计划的一部分,作为N系列的第4款车登场。 日产当天还正式宣布将在中国推出提升行驶性能的“NISMO”品牌。在华合资企业东风日产的总经理关口勋表示,包括跑车在内,“将全面动员(日产的技术)参与竞争。不会局限客户群,而是尽力满足各类需求。” 在中国市场,日产今年10月的销量同比大减67.1%,降至约2.2万辆。由于中国市场向PHV等新能源车转型的速度快于预期,日产受到较大…

👍7❤1💩1

14 Nov 2026, 13:26 UTC857 views6 reactionsread 15 November 2026
Photo

职棒日本队与台湾队明年3月将在台北举行交流赛 日本棒球机构(NPB)会长榊原定征与中华职业棒球大联盟(CPBL)会长蔡其昌14日在东京巨蛋召开记者会,宣布明年3月6日、7日将在台湾的台北巨蛋举行由双方一线阵容参加的交流赛。两场比赛都安排在夜间举行,详细信息将于12月公布。 该赛事以台方发出邀请的形式实现。蔡其昌表示,日本队是世界顶级球队之一,期待交流赛能让台湾球员获得宝贵经验。

👍4💩1🥰1

14 Nov 2026, 13:25 UTC886 views19 reactionsread 15 November 2026
Photo

日本男足3比2补时绝杀巴西 日本男足14日在新加坡的国际友谊赛中3比2战胜巴西队。这是双方自6月美加墨世界杯淘汰赛首轮交锋以来再次对决,世界杯赛场被巴西补时绝杀的日本队此番终于获胜。 日本队上半场凭借久保建英(皇家社会)和中村敬斗(里昂)的进球占据优势。此后,巴西队维尼修斯双响扳平了比分。下半场补时阶段,坂元达裕(考文垂)成功破门,帮助日本队取得戏剧性胜利。 10月7日公布的国际足联(FIFA)世界排名中,日本队位列第17,巴西队排名第6。两队交锋战绩改写为日本2胜2平12负。日本队在去年10月的国际友谊赛中首次战胜巴西队。 2018年起执教日本队逾八年的主教练森保一此次率日本队出征新加坡国际足球邀请赛。继14日后,17日对阵巴拉圭队的比赛将成为森保执教日本队的最后一战。

👍16🏆3

14 Nov 2026, 08:14 UTC≈1,170 views16 reactionsread 15 November 2026
Photo

老外吐槽亚洲 App 的 UI 设计杂乱,丑陋不堪。 https://x.com/the_luckforest/status/2121099321060003866

🤡15😈1

Showing the 12 most recent of 1,710 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.

Posts edited after publishing

@freechinese edited 5 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.

First edit seen
8 August 2026
Most recent edit
1 November 2026

Forward network

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.

Mentions

Named by 3 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.

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.

Channels Telegram recommends alongside this one

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.

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@illusory_world · 11,118
#18
【华尔街见闻】- 财经时讯 | AI 实时互动
@FinanceNewsDaily · 59,438
#19
看鉴中国 OutsightChina
@OutsightChina · 41,905
#20
APPDO 数字生活指南
@AppDoDo · 41,000
#21
2.5次元日常 🍉
@acgdaily · 17,363
#22
少数派sspai
@sspai · 39,143
#23
心灵魔法站
@personal_hub · 11,586
#24
Alan的小纸箱
@alansbox · 4,341
#25
极客分享
@geekshare · 65,613
#26
大河马中文财经新闻分享
@chinesecaixin · 7,736
#27
 Apple Nuts
@AppleNuts · 37,701
#28
电报时报
@times001 · 84,547
#29
学习墙国🐸
@XueXi_China · 86,313
#30
某科学的一个频道
@titan_pain · 20,854
#31
中国数字时代
@cdtchinesefeed · 51,914
#32
天眼
@yelloworblueHK · 17,119
#33
Readhub
@readhub_cn · 8,582
#34
知乎暴论
@mightyflame · 25,381
#35
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 49,240
#36
Global Macro View
@Marcoview666 · 5,483
#37
蓝点网订阅频道
@landiansub · 47,325
#38
v2ex
@v2ex_notice · 908
#39
不周的生活观察
@buzhouxiansheng · 6,796
#40
层叠 - The Cascading
@outvivid · 9,324
#41
zrj766的频道
@zrj96 · 17,885
#42
如何与沙雕相处
@ruheyushadiaoxiangchu · 28,386
#43
平壤卫视
@pingrangTV · 29,370
#44
Karen医生の日常
@KarenMoeMoe · 9,352
#45
AI Copilot
@AI_Copilot_Channel · 11,433
#46
NodeSeek官方频道
@nodeseekc · 40,773
#47
ahhhhfs|A姐分享
@abskoop · 303,544
#48
〄FW
@JISFW · 12,883
#49
Surge & Loon & QX 脚本收集
@NobyDa · 64,639
#50
PlayStation 新闻转发
@PlayStationNewssss · 3,220
#51
iBeta 尝鲜派|公告栏
@ibeta_channel · 13,620
#52
Appinn Feed|小众软件
@appinnfeed · 34,976
#53
折腾啥
@zhetengsha · 54,121
#54
Project X Channel
@projectXtls · 30,596
#55

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.

Appears in Telegram’s recommendations for other channels

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.

全网吃瓜
@DBHR8 · 18,453
Telegram ranks this channel #10 of 20 here — alongside 19 others — read 5 October 2026
敏感经济信息分享
@pelosi3 · 72,603
Telegram ranks this channel #17 of 51 here — alongside 50 others — read 20 August 2026
轻口味时间
@lightrekt · 47,997
Telegram ranks this channel #20 of 35 here — alongside 34 others — read 25 August 2026
影音中国(中国被禁的视频)
@TwtVideoOfChina · 78,507
Telegram ranks this channel #32 of 54 here — alongside 53 others — read 20 August 2026
俄罗斯资讯参考频道
@JShangrong · 24,077
Telegram ranks this channel #36 of 60 here — alongside 59 others — read 15 September 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“FREE 中文” (@freechinese), 27,773 subscribers as measured 13 November 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.