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Channel

吃瓜中心|热点曝光

@chigua6680

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

233,194subscribers

-6,087 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001875014787
TypeChannel
Username@chigua6680
Description每日吃瓜,国内外热点推送 商务合作: @zuoweil
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live12 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/chigua6680

Topic

Memes & entertainment — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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 4 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
@chigua6680/60749 · this entry30 Aug 2026, 19:46 UTC@cggxhhh/12717030 Aug 2026, 19:46 UTC1.00under a minute
@chigua6680/61581 · this entry5 Sept 2026, 15:22 UTC@cggxhhh/1279905 Sept 2026, 15:22 UTC1.00under a minute
@chigua6680/62873 · this entry16 Sept 2026, 16:55 UTC@cggxhhh/12927916 Sept 2026, 16:55 UTC1.00under a minute
@cggxhhh/12985822 Sept 2026, 06:40 UTC@chigua6680/63457 · this entry22 Sept 2026, 06:40 UTC1.00under a minute
@chigua6680/65811 · this entry20 Oct 2026, 11:16 UTC@cggxhhh/13220920 Oct 2026, 11:16 UTC1.00under a minute
@chigua6680/66058 · this entry23 Oct 2026, 08:32 UTC@cggxhhh/13245623 Oct 2026, 08:32 UTC1.00under a minute
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
@cggxhhh133 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (105–28)
@baoguangba08827 (8/8 hand-verifiable sample passed)1.002 days@baoguangba088 (27–0)
@qiuzhi00827 (8/8 hand-verifiable sample passed)1.0047 hours@qiuzhi008 (27–0)
@aichiguaba16 (7/8 hand-verifiable sample passed)1.0020 hourseven
@PPchigua15 (8/8 hand-verifiable sample passed)0.998.0 hoursthis entry (15–0)
@neihanduanzi114 (8/8 hand-verifiable sample passed)1.009.5 hours@neihanduanzi1 (12–2)
@tuigsc12 (7/8 hand-verifiable sample passed)1.0022 hours@tuigsc (8–4)
@cgbg811 (8/8 hand-verifiable sample passed)1.004 daysthis entry (9–2)
@freechinese10 (7/8 hand-verifiable sample passed)1.0014 hours@freechinese (10–0)
@wd8099 (7/8 hand-verifiable sample passed)1.0012 hours@wd809 (9–0)
@ZTX958 (8/8 hand-verifiable sample passed)1.0021 hours@ZTX95 (8–0)
@JPZDY26 (6/6 hand-verifiable sample passed)1.0012 hours@JPZDY2 (6–0)

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. 169 of the 169 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 738 comparable posts for this entry, running 11 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 4 channels, the one whose matching posts we hold earliest is @baoguangba088. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 15 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 4 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

232,393246,139239,266233,19410 August 202612 November 2026
61 measurements spanning 94 days, net -6,087. 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 230,331–248,201 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
12 Nov 2026, 12:01233,194-756
10 Nov 2026, 12:17233,950+1,557
9 Nov 2026, 01:49232,393-2,824
7 Nov 2026, 18:57235,217+934
6 Nov 2026, 15:59234,283-1,083
5 Nov 2026, 17:45235,366-1,467
4 Nov 2026, 20:29236,833-1,241
3 Nov 2026, 21:35238,074-569
2 Nov 2026, 19:20238,643+4,635
1 Nov 2026, 18:00234,008-280
31 Oct 2026, 14:55234,288-1,026
30 Oct 2026, 11:31235,314-1,138
29 Oct 2026, 13:49236,452-506
28 Oct 2026, 15:09236,958-956
27 Oct 2026, 11:37237,914-501
26 Oct 2026, 14:56238,415-577
25 Oct 2026, 11:56238,992-426
24 Oct 2026, 10:21239,418-1,319
23 Oct 2026, 08:46240,737+2,249
22 Oct 2026, 06:46238,488first reading

Engagement

1,822 posts held, back to 10 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 191 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.615%
avg views ÷ 233,194 subscribers
Avg views / post
1,430
611 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
611
of 1,822 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 584 of 611 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 13 November 2026
Posts held1,822 (10 August 2026 – 13 November 2026)
Views total876,267
Reactions total8,845
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 02:20 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
≈41,300
Videos
≈22,000
Links
≈25,600

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
7h 10m
Average length
38s

Measured directly from 676 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

14,761 reactions across 960 posts, in 19 distinct kinds. The most used accounts for 10.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯1,50410.2%
🐳1,48610.1%
🕊1,47810.0%
🏆1,47710.0%
🍾1,4559.86%
👌1,4359.72%
🍓1,4329.70%
💋1,4159.59%
🌭1,4049.51%
⚡1,3889.40%
👍810.549%
🥰380.257%
🔥340.23%
❤300.203%
😍280.19%
🤩280.19%
🎉250.169%
❤‍🔥220.149%
🌚10.007%

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 961 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 14,761 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 21 September 2026 to 13 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: 0 of 611 posts held from the last 30 days (0%) 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).

13 Nov 2026, 15:39 UTC≈4,430 views19 reactionsread 15 November 2026
Photo

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13 Nov 2026, 15:35 UTC≈4,450 views13 reactionsread 15 November 2026
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13 Nov 2026, 15:30 UTC≈3,950 views16 reactionsread 15 November 2026
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13 Nov 2026, 15:29 UTC≈4,420 views18 reactionsread 15 November 2026
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13 Nov 2026, 15:28 UTC≈4,130 views16 reactionsread 15 November 2026
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13 Nov 2026, 15:26 UTC≈4,310 views16 reactionsread 15 November 2026
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13 Nov 2026, 15:23 UTC≈3,420 views12 reactionsread 15 November 2026
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13 Nov 2026, 15:21 UTC≈4,380 views15 reactionsread 15 November 2026
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13 Nov 2026, 15:18 UTC≈3,890 views11 reactionsread 15 November 2026
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Showing the 12 most recent of 1,822 posts we hold for @chigua6680. 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.

Mentions

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.

🧸心情文案吧|素材|壁纸|头像
@wenan888 · 61,131
#1
把故事写进晚风🫧
@hhdwag · 11,478
#2
文案馆向西走/头像/素材
@YTT786 · 103,132
#3
人间清醒【文案馆】
@wenanhs1 · 27,467
#4
🍓文案小商铺
@wenan422 · 11,987
#5
中文文案馆 头像/萝莉/反差/学生🫥
@wenan_c · 8,547
#6
桃桃频道🍑素材|文案|头像 🍑
@TTUFO · 19,036
#7
✨-也许是你的秘密(文案屋)
@qqneQJ · 32,858
#8
吴哥时报
@wgsb · 219,741 (as read 11 August 2026)
#9
东南亚大事件 @svip
@bx666 · 463,105
#10
☀️【佳佳】生活素材馆☀️
@sucai277 · 103,457
#11
简易文案馆♥️ ͒
@jywag999 · 50,341
#12
曝光东南亚事件新闻
@wqbysc98 · 25,509
#13
全球文案馆🌸壁纸,头像,交友,文案,心事,树洞,留言
@dianying005 · 2,336
#14
海外素材库
@sucai1 · 58,852
#15
精聊素材|高清素材|生活素材
@sucai_23 · 4,270
#16
【生活素材】文案/头像/壁纸/套图
@TG508 · 14,815
#17
动态文案馆🍂🍂
@hrjl123 · 2,217
#18
文案素材~时空🔥
@WASC0016 · 15,934
#19
💯【佳佳】美食素材圈💯
@sucai177 · 98,617
#20
头像(林深见鹿)壁纸
@touxiang11 · 4,088
#21
东南亚大事件-聚焦时事
@pp854 · 65,529
#22
灵魂🫦文案馆
@wenanle · 4,725
#23
【贝儿】💞文案素材背景图
@wenan6868 · 1,337
#24
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 234,829
#25
汉城海外素材(78.com 冠名 )
@sucai · 47,855
#26
💯【七娅】美食素材💯
@sucai213 · 20,332
#27
吃瓜群众🍉
@chigua2022 · 193,681
#28
东南亚文案馆
@wenan77 · 9,429
#29
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,694
#30
素材人设中心
@sucai6655 · 55,771
#31
时光冉冉文案馆🌈
@wenan7 · 1,536
#32
情感文案馆❤️
@aidudu48 · 971
#33
美食素材
@meishisc · 28,292
#34
文案/励志/情感
@RZ1788 · 2,630
#35
文案库(治愈、励志、情感)
@wenanku · 59,254
#36
文案 日记馆 ☽⋆⋆
@moonwenan · 1,338
#37
深情文案素材馆
@vip8id · 12,290
#38
日暮温柔馆
@dj17wenan · 1,322
#39
文案社头像素材馆
@Ruo333 · 29,401
#40
有故事的女同学
@WenAnGuan_botjihuo · 8,986
#41
🥬 素材 日常 ♻️
@TGSCRC · 12,716
#42
【每日精选】 文案/头像/壁纸/套图
@wenanqinggan · 12,379
#43
慕雨文案馆丨文案、生活、远方❄
@WannaRainsNote · 1,499
#44
情感文案馆🌙 交友| 表白
@wenan1122 · 5,941
#45
【贝儿】💞精选头像馆
@Touxiang589 · 737
#46
头像 文案 壁纸 鸡汤 分享
@wasc001 · 1,738
#47
东南亚挨打日记
@pyzcn · 222,544
#48
头像趣图【精品】
@av1066 · 1,256
#49
📢【BOSS直聘】求职|招聘
@qiuzhi008 · 231,891
#50
全球精品素材
@taiwansucai223 · 10,741
#51
王公子数码城
@dongnanya166 · 468
#52
东南亚华人大事件-柬埔寨曝光
@wenanjun · 156,084
#53
狗推素材中心
@YYD678 · 640
#54
生活素材🥬🥬
@sucai502 · 963
#55
七月风吹🫧文案/头像/素材
@qiyuewenan · 810
#56
🍭糖果社✨海外素材|专场
@sucai518 · 18,132
#57
海外素材
@biyou6666 · 10,827 (as read 11 August 2026)
#58
吃瓜群众🍉
@chigua_e · 211,628
#59

Read from Telegram’s recommendation API, most recently 11 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.

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.

✨-也许是你的秘密(文案屋)
@qqneQJ · 32,858
Telegram ranks this channel #5 of 26 here — alongside 25 others — read 31 August 2026
🧸心情文案吧|素材|壁纸|头像
@wenan888 · 61,131
Telegram ranks this channel #10 of 53 here — alongside 52 others — read 20 August 2026
文案馆向西走/头像/素材
@YTT786 · 103,132
Telegram ranks this channel #12 of 65 here — alongside 64 others — read 17 August 2026
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,694
Telegram ranks this channel #14 of 54 here — alongside 53 others — read 10 August 2026
文案库(治愈、励志、情感)
@wenanku · 59,254
Telegram ranks this channel #15 of 38 here — alongside 37 others — read 21 August 2026
📢【BOSS直聘】求职|招聘
@qiuzhi008 · 231,891
Telegram ranks this channel #50 of 72 here — alongside 71 others — read 11 August 2026

This channel appears in 6 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜中心|热点曝光” (@chigua6680), 233,194 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/chigua6680.

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.