Telegram RegisterThe public register of Telegram

Channel

吃瓜热门视频

@chigua278

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

41,214subscribers

+9,851 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001890801645
TypeChannel
Username@chigua278
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/chigua278

Growth

31,29641,28636,2917 August 2026 — 31,363 subscribers8 August 2026 — 31,349 subscribers9 August 2026 — 31,323 subscribers10 August 2026 — 31,296 subscribers11 August 2026 — 41,286 subscribers12 August 2026 — 41,271 subscribers13 August 2026 — 41,252 subscribers14 August 2026 — 41,214 subscribers41,2147 August 202614 August 2026
8 measurements spanning 7 days, net +9,851. 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 29,798–42,785 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:4841,214-38
13 Aug 2026, 07:3441,252-19
12 Aug 2026, 07:3241,271-15
11 Aug 2026, 04:3141,286+9,990
10 Aug 2026, 03:2131,296-27
9 Aug 2026, 01:5031,323-26
8 Aug 2026, 02:3731,349-14
7 Aug 2026, 12:4531,363first reading

Engagement

119 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.485%
avg views ÷ 41,214 subscribers
Avg views / post
200
119 posts measured
Reaction rate
0.304%
reactions ÷ views · ER floor
Posts in window
119
of 119 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 17 of 119 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 14 August 2026
Posts held119 (6 August 202614 August 2026)
Views total23,782
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 00:53 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
75,000
Videos
122,000
Links
2,210

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.

Video runtime
1h 07m
Average length
48s

Measured directly from 84 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

12 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
650.0%
👍650.0%

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 17 of the 119 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 119 most recent posts we hold, published 6 August 2026 to 14 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.

Recent posts

14 Aug 2026, 17:07 UTC159 viewsread 15 August 2026
Video

结婚8年育3孩,丈夫发现均非亲生! 结婚证的作用,就是离婚用的! 目前来看它既不能保证你合法的性生活的权利,也不能保证孩子就是你的!

14 Aug 2026, 17:07 UTC153 viewsread 15 August 2026
Video

一位中国女子在巴厘岛炫耀被两个意大利男子亲吻的经历!评论区姐妹们馋坏了

14 Aug 2026, 17:07 UTC134 viewsread 15 August 2026
Video

的士司机说,我们这些香港的士司机,最讨厌你们这些人(外地人)坐车头了,风景很好看吗,这么喜欢开车我租给你,让你开个够啊,你坐不起的巴拉巴拉,还说你们这些外地人,坐个短途的士还要怀疑司机绕路。乘客就说,上车之前你怎么不说,不喜欢别人坐前面可以提前说,我自己查个导航怎么了,之类的。 大家怎么看?

14 Aug 2026, 17:07 UTC124 viewsread 15 August 2026
Video

在百花奖后台,网友近距离拍摄到,演员张子枫瘦到脱相,甚至胸前肋骨都清晰可见 #平胸

14 Aug 2026, 17:07 UTC113 viewsread 15 August 2026
Video

狗头萝莉今天发视频说,你可以质疑我的人品,但不能质疑我的健康,我没有性病。

14 Aug 2026, 17:06 UTC106 viewsread 15 August 2026
Photo

民政部公布上半年民政统计数据,结婚对数同比下降7.5%。 8月12日,民政部发布《2026年2季度民政统计数据》,其中多项数据呈现薛微的、那么一丢丢的异常。 一、结婚对数下降7.5% 2025年上半年:结婚353.9万对,离婚133.1万对。 2026年上半年:结婚327.5万对,离婚138.3万对。 半年时间内,结婚少了26.4万对,下降7.5%;离婚多了5.2万对,上升3.9%。 二、养老机构减少1000多家 养老机构从2025年的40002家变为2026年的38489家,一年少了1513家。 老龄化持续加速的背景下,养老机构为何减少? 三、福利彩票销售同比下降6.6%

14 Aug 2026, 17:06 UTC100 viewsread 15 August 2026

【特朗普:美国对霍尔木兹海峡拥有完全控制权】 美国总统特朗普最新发文:“美国已经完全控制了霍尔木兹海峡。我认为我们将继续保持控制权!我们的海上封锁被所有人称为“钢铁之墙”,伊朗对此无能为力。他们没有海军,没有空军,剩余士兵也没有领到薪酬,革命卫队已遭到重创并正在溃逃,而他们的“领导层”充其量只能说是不确定!他们没有资金——这个国家已经“千疮百孔”。他们拥有的只有假新闻和300%的通胀,而且情况还在恶化!伊朗如今只是光说不练,不再是中东的霸凌者!”

12 Aug 2026, 16:54 UTC661 viewsread 14 August 2026
Video

海边浴场风浪太大已拉警戒线,游客不听劝冲出!保安:这帮游客太难管了

Showing the 12 most recent of 119 posts we hold for @chigua278. 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.

Citation-graph rank

Citation-graph rank — 781,846 of 1,350,102entries 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.

Forward network

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.

Mentions

Named by 1 registered channel — 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.

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.

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🍉
@aichiguaba · 260,514
Telegram ranks this channel #32 of 51 here — alongside 50 others — read 14 August 2026
(吃瓜)搞笑😐视频
@cgbg8 · 104,983
Telegram ranks this channel #33 of 59 here — alongside 58 others — read 15 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 197,978
Telegram ranks this channel #35 of 48 here — alongside 47 others — read 14 August 2026

This channel appears in 3 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜热门视频” (@chigua278), 41,214 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/chigua278.

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.