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Channel

吃瓜视频

@pdsss

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

52,548subscribers

-7,576 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-1001806603157
TypeChannel
Username@pdsss
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 live11 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/pdsss

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 100% 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 6 other registered channels. This entry also sits inside a group of 6 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
@newszg_official/2336938 Aug 2026, 06:36 UTC@pdsss/161993 · this entry8 Aug 2026, 06:50 UTC1.0015 minutes
@newszg_official/2336998 Aug 2026, 06:45 UTC@pdsss/161999 · this entry8 Aug 2026, 06:51 UTC1.006 minutes
@newszg_official/2336958 Aug 2026, 06:45 UTC@pdsss/162000 · this entry8 Aug 2026, 06:51 UTC1.007 minutes
@newszg_official/23465213 Aug 2026, 14:59 UTC@pdsss/163307 · this entry13 Aug 2026, 15:06 UTC1.006 minutes
@newszg_official/23585121 Aug 2026, 14:01 UTC@pdsss/165038 · this entry21 Aug 2026, 14:02 UTC1.00under a minute
@newszg_official/23598722 Aug 2026, 13:36 UTC@pdsss/165237 · this entry22 Aug 2026, 13:37 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
@newszg_official33 (8/8 hand-verifiable sample passed)1.00under a minute@newszg_official (33–0)
@aimeinv8825 (6/8 hand-verifiable sample passed)1.0011 hoursthis entry (25–0)
@abcbm22 (8/8 hand-verifiable sample passed)1.006 days@abcbm (13–9)
@tv55520 (8/8 hand-verifiable sample passed)1.002 daysthis entry (12–8)
@sssku18 (8/8 hand-verifiable sample passed)1.004 daysthis entry (13–5)
@freechinese7 (6/7 hand-verifiable sample passed)0.9956 minutes@freechinese (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. 66 of the 66 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 525 comparable posts for this entry, running 6 August 2026 to 10 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 6 channels, the one whose matching posts we hold earliest is @pdsss — 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 11 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 6 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

48,73460,12454,42952,5487 August 202611 November 2026
62 measurements spanning 96 days, net -7,576. 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 47,026–61,833 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
11 Nov 2026, 16:0652,548-142
9 Nov 2026, 17:3152,690-235
8 Nov 2026, 09:0652,925-254
7 Nov 2026, 01:4853,179-144
6 Nov 2026, 00:4853,323-164
4 Nov 2026, 22:4953,487-95
3 Nov 2026, 19:2953,582-185
2 Nov 2026, 22:3953,767-183
1 Nov 2026, 19:5053,950-233
31 Oct 2026, 16:3654,183-233
30 Oct 2026, 14:0554,416-275
29 Oct 2026, 10:2954,691-180
28 Oct 2026, 11:1654,871-156
27 Oct 2026, 12:1855,027-136
26 Oct 2026, 13:0455,163-182
25 Oct 2026, 10:2655,345-241
24 Oct 2026, 07:4955,586-141
23 Oct 2026, 09:2655,727-195
22 Oct 2026, 07:5655,922-227
20 Oct 2026, 18:1756,149first reading

Engagement

2,019 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 195 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.56%
avg views ÷ 52,548 subscribers
Avg views / post
820
691 posts measured
Reaction rate
0.121%
reactions ÷ views · ER floor
Posts in window
691
of 2,019 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 19 of 691 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 11 November 2026
Posts held2,019 (6 August 2026 – 11 November 2026)
Views total566,429
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 12:25 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

Video runtime
9h 23m
Average length
44s

Measured directly from 772 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

44 reactions across 41 posts, in 8 distinct kinds. The most used accounts for 65.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2965.9%
⚡36.82%
👏36.82%
🔥36.82%
🤩24.55%
🥰24.55%
🎉12.27%
👍12.27%

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 45 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 44 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 26 September 2026 to 11 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 691 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).

11 Nov 2026, 12:01 UTC156 viewsread 11 November 2026
Video

🌈🌈🌈🌈8K国际 信誉至上·财富相伴 🌈🌈🌈🌈🌈 8k235.com #东南亚盘总首选最权威综合😃台 集团耗资2亿美金 打造全网最牛逼的线上娱乐平台。😄😄😄😄 #大户首选 免实名 免手机号 电子可3000U一拉 😀😀😀😀😀😀😀😀⚡️😀😀😀 😂😂😂😂 1821839.com TG玩家首选人民币台不限ip 无需手机号无需绑卡 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀 1、极速糖果 30U爆25000倍满倍75万U 2、百家乐战神 大哥一天时间狂砍100万U 3、PP电子极速糖果 单注500爆得500万U 4、神秘大哥 连续稳定输出一天净赚59万U 😀😀😀😀😀😀😀😀😀😀 #全网福利天花板 1、单笔提款50万U+ ,赠送5888U-88888U额外奖励 2、支持任意平台vip等级平移 3、每日存款彩金每日送,每笔存款加增1% 存100送28 存500送58 存1000送108 存3000送31…

11 Nov 2026, 11:01 UTC598 viewsread 11 November 2026
Photo

#居家上班 泰国远程工作 出国包吃住 菲 柬 迪 斯里兰卡 享受房补饭补 月休4 @hraaa 🔖 #超级索引 😉😛🥲😊 超级索引回归,TG最佳搜索神器!一键搜索频道、群组和机器人! #会员代开 全网价格最低 官方赠送 可自己开或帮别人开 只需提供用户名 联系 @chenergou 🌟 引流商务可联系 @chenergou 💠

11 Nov 2026, 10:39 UTC783 views1 reactionsread 11 November 2026

#短篇 #故事会 @gdan21 鸭子日记 妈的,真当鸭子的傻逼男的,脑子灌满精液了吧?以为张开腿躺着就能又爽又捞钱,结果十个女客人里八个是性瘾晚期的中年母猪,肚子一圈肥肉、阴毛都花白了、被老公操到子宫口松得能塞拳头还不够,更年期疯婆子一上来就发情,眼睛发红、奶子晃得像两袋死肉,开口就是“今晚把你鸡巴插到我子宫里,不给我干到喷水就别想走”。你以为跟找鸡一样,插进去抽几下射完走人?做梦。这些母狗找你就是把你当活鸡巴用,根本不让你射。一进门就把你按在床上,肥臀压下来,湿得能滴水的逼直接套上去,骑着你前后磨,一边喊“深点、再深点,捅穿我”,一边用手掐着你蛋,逼你别软。射一次?她当场把你鸡巴往外拔,对着马眼用指甲刮,或者直接塞两根手指进去抠,逼你立刻再硬。硬不起来就骂你废物、软蛋,拿皮带抽你大腿、抽你蛋,抽得青紫也不停,还要你边挨打边用舌头舔她那张又腥又松的逼,把里面的白浆全舔干净。 有的更狠,要求你一直插着不拔,鸡巴埋在她子宫颈口…

❤1

11 Nov 2026, 10:14 UTC23 viewsread 11 November 2026
Photo

果然面相不会骗人 白衣女子是新娘的闺蜜,本来结婚是个喜庆的日子,但这个闺蜜看见新郎给的“喜钱”比较少,当场就发飙了,还说自己是新娘多年的闺蜜,不能这么对待自己 新郎的脾气也比较好,没有当场发飙,如果给普通人的话,早就把这个闺蜜给轰出去了

Showing the 12 most recent of 2,019 posts we hold for @pdsss. 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

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.

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.

东南亚大事件 @svip
@bx666 · 462,405
#1
菲律宾华人事件
@svip40 · 129,751
#2
(吃瓜)搞笑😐视频
@cgbg8 · 106,850
#3
吃瓜搞笑
@guagua · 72,603
#4
中国悲剧档案官方频道
@newszg_official · 156,515
#5
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#6
马桶先生
@MrMaTong · 1,279
#7
中文吃瓜中心沙雕日常 🍉
@chigua_a · 219,394
#8
【吃瓜🍉&搞笑】
@GQSP9 · 57,264
#9
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 84,052
#10
吃瓜群众🍉
@chigua_e · 219,351
#11
东南亚挨打日记
@pyzcn · 211,778
#12
每日沙雕墙
@woshadiao · 114,495
#13
吃瓜🍉群众
@achiguao · 81,158
#14
内涵搞笑🫥
@chiguahs · 107,687
#15
快来吃瓜
@renrenchigua · 68,414
#16
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 205,268
#17
吃瓜丨素材丨内涵段子丨搞笑视频
@chiguasucai · 12,058
#18
车速过快🚦开车娱乐搞笑沙雕
@chesgk · 5,058
#19
TG吃瓜黑料八卦
@baguabox · 33,150
#20
吃瓜老祖
@chigualaozu · 19,777
#21
抖音吃瓜
@douyinchigua1 · 22,208
#22
热点新闻
@redian3 · 61,886
#23
东南亚曝光吧(吃瓜)
@SB919 · 120,228
#24
搞笑视频 吃瓜群众 内涵段子 沙雕日常
@lsd62 · 28,663
#25
沙雕日常图鉴
@moyu2023 · 8,895
#26
曝光新闻/全民曝光/独家曝光
@mianbeiy · 59,455
#27
吃瓜段子 @FLLCG
@FLLCG · 41,066
#28
全球大事件🌍 「TIKTOK官方」
@qqdsj · 166,859
#29
菲龙网新闻中文媒体【官方】
@feilongwang · 68,697
#30
搞笑视频/吃瓜群众/吃瓜中心
@gaoxiao88 · 21,360
#31
搞笑吃瓜🐶内涵段子/奇趣百科
@chigua_07 · 4,290
#32
博度东南亚大事件 @bdtime
@bodutt · 66,197
#33
搞笑段子《问题不大》😹
@GXduanzi1 · 53,634
#34
东南亚新闻吧|大事件|曝光|吃瓜|悬赏
@xinwenba · 3,599
#35
今日全网曝光频道
@bg855 · 345,469
#36
人间清醒【文案馆】
@wenanhs1 · 28,032
#37
觉醒攻略
@juexinggonglue · 15,815
#38
回眸一笑
@HuiMouYiXiao2023 · 1,416
#39
斯里兰卡头条新闻曝光
@baoguangee · 199,126
#40
🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 57,253
#41
🇵🇭菲行者:吃瓜中心
@feixingzhe_cgzx · 149,981
#42
每日趣闻🌀
@qqvae · 31,369
#43
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,969
#44
曝光骗局-大事件频道-吃瓜搞笑-东南亚新闻
@baoguang · 33,486
#45
皮皮虾🦐搞笑吃瓜
@pipixia · 12,143
#46
电影频道【SOTV】
@cctv1 · 307,314
#47
每天趣事
@meitian · 28,492
#48
Tik Tok有趣的靈魂👽
@DLGAT1 · 20,742
#49
🍓文案小商铺
@wenan422 · 12,352
#50
搞笑视频
@MoiFunVideo · 6,200
#51

Read from Telegram’s recommendation API, most recently 23 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.

🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 57,253
Telegram ranks this channel #24 of 48 here — alongside 47 others — read 21 August 2026
吃瓜🍉群众
@achiguao · 81,158
Telegram ranks this channel #30 of 45 here — alongside 44 others — read 18 August 2026
【吃瓜🍉&搞笑】
@GQSP9 · 57,264
Telegram ranks this channel #31 of 53 here — alongside 52 others — read 14 August 2026
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,508
Telegram ranks this channel #32 of 54 here — alongside 53 others — read 10 August 2026
吃瓜群众🍉
@chigua2022 · 190,073
Telegram ranks this channel #33 of 49 here — alongside 48 others — read 11 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 205,268
Telegram ranks this channel #43 of 48 here — alongside 47 others — read 14 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜视频” (@pdsss), 52,548 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/pdsss.

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.