Telegram RegisterThe public register of Telegram
Telegram profile photo for TG吃瓜黑料八卦

Channel

TG吃瓜黑料八卦

@baguabox

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

33,146subscribers

-320 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001228673671
TypeChannel
Username@baguabox
Description吃瓜 八卦 黑幕 黑料 广告联系 @haobangdada 小火箭chatgpt gv gmail tg独享 app兑换码 @yangwangshop 羊毛频道 @yangwangpindao
Created1 November 2019 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/baguabox

Topic

Gambling & betting — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 forms a group of 2 channels linked by matching posts. 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
@baguabox/55929 · this entry26 Aug 2026, 15:53 UTC@neihanduanzi1/7384526 Aug 2026, 15:54 UTC1.0072 seconds
@baguabox/57251 · this entry26 Sept 2026, 01:02 UTC@neihanduanzi1/7853926 Sept 2026, 05:50 UTC1.004.8 hours
@baguabox/57879 · this entry9 Oct 2026, 03:35 UTC@neihanduanzi1/800699 Oct 2026, 05:56 UTC1.002.4 hours
@neihanduanzi1/800759 Oct 2026, 05:57 UTC@baguabox/57883 · this entry9 Oct 2026, 06:10 UTC1.0013 minutes
@baguabox/58003 · this entry11 Oct 2026, 11:15 UTC@neihanduanzi1/8047911 Oct 2026, 14:17 UTC1.003.0 hours
@neihanduanzi1/7395627 Aug 2026, 13:32 UTC@baguabox/55977 · this entry27 Aug 2026, 15:00 UTC0.9488 minutes
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
@neihanduanzi113 (6/8 hand-verifiable sample passed)0.991.9 hoursthis entry (8–5)
@chigua_e12 (7/8 hand-verifiable sample passed)1.008.6 hoursthis entry (12–0)
@kanxi811 (5/8 hand-verifiable sample passed)1.003.6 hoursthis entry (6–5)
@freechinese11 (7/8 hand-verifiable sample passed)0.9989 minutes@freechinese (11–0)
@wd80910 (7/8 hand-verifiable sample passed)1.002.7 hours@wd809 (6–4)
@tuigsc10 (6/8 hand-verifiable sample passed)1.0028 hoursthis entry (10–0)
@chigua202210 (7/8 hand-verifiable sample passed)1.0028 hoursthis entry (10–0)
@CG8879 (8/8 hand-verifiable sample passed)1.0074 minutesthis entry (5–4)
@qiqubk9 (8/8 hand-verifiable sample passed)0.991.9 hoursthis entry (6–3)
@dypldd7 (6/7 hand-verifiable sample passed)1.00under a minutethis entry (7–0)
@JPZDY27 (6/7 hand-verifiable sample passed)0.992.6 hoursthis entry (4–3)
@cg66697 (5/7 hand-verifiable sample passed)1.003 daysthis entry (7–0)

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. 41 of the 41 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 400 comparable posts for this entry, running 5 August 2026 to 11 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 2 channels, the one whose matching posts we hold earliest is @baguabox — which is this entry. 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 12 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 2 registered channels linked by matching posts. 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

33,14133,57633,358.533,1466 August 202612 November 2026
63 measurements spanning 99 days, net -320. 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 33,076–33,641 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
12 Nov 2026, 22:0133,146-4
10 Nov 2026, 14:4933,150+9
8 Nov 2026, 23:1633,141-13
7 Nov 2026, 15:4833,154-15
6 Nov 2026, 12:2433,169-7
5 Nov 2026, 10:0933,176+2
4 Nov 2026, 06:5633,174-7
2 Nov 2026, 07:1933,181+8
1 Nov 2026, 08:1733,173-17
31 Oct 2026, 06:0833,190-5
30 Oct 2026, 02:2933,195-5
29 Oct 2026, 02:4833,200-15
28 Oct 2026, 00:0533,215-4
27 Oct 2026, 00:4633,219-5
25 Oct 2026, 21:1633,224-4
24 Oct 2026, 20:5633,228+2
23 Oct 2026, 21:4033,226-4
22 Oct 2026, 23:1633,230-14
21 Oct 2026, 21:4833,244+3
20 Oct 2026, 19:0733,241first reading

Engagement

2,477 posts held, back to 5 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 179 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.06%
avg views ÷ 33,146 subscribers
Avg views / post
350
840 posts measured
Reaction rate
0.366%
reactions ÷ views · ER floor
Posts in window
840
of 2,477 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 344 of 840 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 held2,477 (5 August 2026 – 13 November 2026)
Views total294,396
Reactions total487
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 07:25 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
≈22,900
Videos
≈30,300
Links
≈6,970

Lifetime counters from Telegram’s own channel header, read 13 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
18h 45m
Average length
1m 20s

Measured directly from 840 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

556 reactions across 366 posts, in 19 distinct kinds. The most used accounts for 79.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍44079.1%
❤437.73%
😁162.88%
🤣152.70%
💩91.62%
🤮61.08%
👏40.719%
🌚30.54%
💊30.54%
🤡30.54%
🥴30.54%
💅20.36%
🤔20.36%
🤪20.36%
🎉10.18%
😢10.18%
😨10.18%
🤬10.18%
🥰10.18%

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 391 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 556 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 8 October 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: 6 of 840 posts held from the last 30 days (0.714%) 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, 06:27 UTC159 viewsread 13 November 2026
Photo

黄仁勋必须在美国东部时间13日晚上8点之前接受三个委员会的面谈,否则他将被传唤。

13 Nov 2026, 03:15 UTC414 viewsread 13 November 2026
Video

这是黄仁勋一个月前的视频,回应“为什么女创始人那么少”的问题时说的,强调他身边有很多优秀女性、自己妻子也是工程师,以及“谁有最好的脑子、谁把事做成”才是关键,与性别无关。

13 Nov 2026, 03:15 UTC375 viewsread 13 November 2026
Video

一个不观察,一个超速行驶!行人还好吗?

13 Nov 2026, 03:05 UTC364 viewsread 13 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_667918518

13 Nov 2026, 00:48 UTC357 viewsread 13 November 2026
Video

职场上受气就可以朝外卖员发泄了吗? 骑手连续拨打五六个电话,始终联系不上女顾客。 顾客下楼之后,没有一句抱歉,反而气势汹汹地各种指责骑手

13 Nov 2026, 00:47 UTC353 viewsread 13 November 2026
Video

年轻的可能会笑他,三十岁以上的会觉得自己还不如他!

Showing the 12 most recent of 2,477 posts we hold for @baguabox. 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.

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

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.

在花🎗️科技圈
@zaihuapd · 290,142
#1
风向旗参考快讯
@xhqcankao · 200,273
#2
竹新社
@tnews365 · 167,192
#3
每日消费电子观察
@CE_Observe · 77,679
#4
平壤卫视
@pingrangTV · 29,366
#5
煎蛋无聊图
@jandan_pic · 25,561
#6
简中互联网废物大赏
@fucku_idiot · 41,850
#7
Foolish TraceWind
@FoolishTraceWind · 16,723
#8
Solidot
@solidot · 48,811
#9
LoopDNS资讯播报
@DNSPODT · 73,288
#10
Newlearnerの自留地
@NewlearnerChannel · 68,297
#11
拳殖猎人🐺
@colonized_people · 2,180
#12
Surge & Loon & QX 脚本收集
@NobyDa · 64,555
#13
蛋挞观察室
@ijustseesee · 2,969
#14
瞎玩菌 #SFW
@blindgamer · 10,785
#15
LiFePO4:沙雕吐槽
@lifepofour · 2,209
#16
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,396
#17
VPS信号旗播报
@vps_xhq · 50,835
#18
2.5次元日常 🍉
@acgdaily · 17,329
#19
即刻精选
@jike_collection · 35,913
#20
蓝点网订阅频道
@landiansub · 47,142
#21
折腾啥
@zhetengsha · 54,121
#22
小声逼逼
@me888888888888 · 53,287
#23
灵车漂移
@Hearse_Drifting · 10,901
#24
今日份的豆酱
@today_bean · 2,948
#25
NodeSeek官方频道
@nodeseekc · 40,583
#26
每日无数猫
@miaowu · 19,925
#27
电报时报
@times001 · 84,547
#28
某科学的一个频道
@titan_pain · 20,849
#29
上班划水之无聊图
@goworkbitch · 25,325
#30
Yummy 😋
@GodlyNews1 · 71,235
#31
〄FW
@JISFW · 12,885
#32
贪玩电动(停售实体版)
@oojbk · 2,212
#33
 Apple Nuts
@AppleNuts · 37,701
#34
沙雕微博收集
@funnyweibo · 4,847
#35
moke 的 日常分享、吐槽和动态
@mokeyjay_channel · 2,750
#36
Loon News
@LoonNews · 48,288
#37
少数派sspai
@sspai · 39,123
#38

Read from Telegram’s recommendation API, most recently 4 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.

文明观球理性吃瓜
@aimeinv88 · 23,989
Telegram ranks this channel #5 of 20 here — alongside 19 others — read 18 September 2026
煎蛋无聊图
@jandan_pic · 25,561
Telegram ranks this channel #6 of 51 here — alongside 50 others — read 14 September 2026
平壤卫视
@pingrangTV · 29,366
Telegram ranks this channel #6 of 45 here — alongside 44 others — read 8 September 2026
如何与沙雕相处
@ruheyushadiaoxiangchu · 28,376
Telegram ranks this channel #12 of 44 here — alongside 43 others — read 9 September 2026
每日沙雕墙
@woshadiao · 114,505
Telegram ranks this channel #16 of 52 here — alongside 51 others — read 14 August 2026
上班划水之无聊图
@goworkbitch · 25,325
Telegram ranks this channel #18 of 52 here — alongside 51 others — read 15 September 2026
吃瓜视频
@pdsss · 52,548
Telegram ranks this channel #20 of 51 here — alongside 50 others — read 23 August 2026
吃瓜🍉群众
@achiguao · 81,158
Telegram ranks this channel #24 of 45 here — alongside 44 others — read 18 August 2026
轻口味时间
@lightrekt · 47,997
Telegram ranks this channel #32 of 35 here — alongside 34 others — read 25 August 2026
电报时报
@times001 · 84,547
Telegram ranks this channel #40 of 66 here — alongside 65 others — read 18 August 2026

This channel appears in 10 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.

“TG吃瓜黑料八卦” (@baguabox), 33,146 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/baguabox.

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.