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Channel

吃瓜中心🪅龙行知天下🌏

@ZTX95

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

64,249subscribers

+13,340 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-1001660182894
TypeChannel
Username@ZTX95
Description阅头条,知天下。 🔻收录新鲜事🔻 每日精选推送//网络趣味收藏夹⭐️ 新闻 |吃瓜 |沙雕 |实拍 |娱乐 |搞笑 | 发布内容不做权威考究,娱乐为主。 投稿/商务合作👉 @YJGJ56
CreatedBetween 1 December 2021 and 31 May 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/ZTX95

Topic

Memes & entertainment — 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 82% 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 why it has no browse page of its own yet.

Growth

49,77165,12657,448.57 August 2026 — 50,909 subscribers7 August 2026 — 50,909 subscribers8 August 2026 — 50,792 subscribers9 August 2026 — 50,708 subscribers10 August 2026 — 50,521 subscribers11 August 2026 — 50,117 subscribers12 August 2026 — 50,079 subscribers13 August 2026 — 49,844 subscribers14 August 2026 — 50,545 subscribers16 August 2026 — 50,393 subscribers17 August 2026 — 49,958 subscribers18 August 2026 — 49,771 subscribers19 August 2026 — 50,224 subscribers20 August 2026 — 50,120 subscribers21 August 2026 — 50,513 subscribers23 August 2026 — 50,390 subscribers24 August 2026 — 50,721 subscribers25 August 2026 — 50,622 subscribers26 August 2026 — 50,542 subscribers28 August 2026 — 50,699 subscribers28 August 2026 — 50,957 subscribers29 August 2026 — 51,064 subscribers30 August 2026 — 51,277 subscribers1 September 2026 — 51,591 subscribers1 September 2026 — 52,243 subscribers2 September 2026 — 52,671 subscribers4 September 2026 — 53,597 subscribers6 September 2026 — 55,277 subscribers9 September 2026 — 56,964 subscribers12 September 2026 — 61,085 subscribers14 September 2026 — 62,585 subscribers15 September 2026 — 63,538 subscribers17 September 2026 — 62,253 subscribers26 September 2026 — 58,407 subscribers4 October 2026 — 56,355 subscribers9 October 2026 — 55,915 subscribers13 October 2026 — 58,670 subscribers14 October 2026 — 59,697 subscribers15 October 2026 — 60,976 subscribers16 October 2026 — 62,143 subscribers17 October 2026 — 63,992 subscribers18 October 2026 — 64,321 subscribers19 October 2026 — 64,676 subscribers20 October 2026 — 64,632 subscribers21 October 2026 — 65,126 subscribers22 October 2026 — 64,914 subscribers23 October 2026 — 64,608 subscribers24 October 2026 — 64,249 subscribers64,2497 August 202624 October 2026
48 measurements spanning 78 days, net +13,340. 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 47,468–67,429 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
24 Oct 2026, 22:3964,249-359
23 Oct 2026, 20:5464,608-306
22 Oct 2026, 19:4964,914-212
21 Oct 2026, 17:1665,126+494
20 Oct 2026, 16:2864,632-44
19 Oct 2026, 12:4864,676+355
18 Oct 2026, 10:3864,321+329
17 Oct 2026, 13:5663,992+1,849
16 Oct 2026, 14:2762,143+1,167
15 Oct 2026, 16:4560,976+1,279
14 Oct 2026, 19:1959,697+1,027
13 Oct 2026, 08:2658,670+2,755
9 Oct 2026, 00:5655,915-440
4 Oct 2026, 16:0256,355-2,052
26 Sept 2026, 17:2158,407-3,846
17 Sept 2026, 15:5862,253-1,285
15 Sept 2026, 13:5663,538+953
14 Sept 2026, 00:1962,585+1,500
12 Sept 2026, 06:1561,085+4,121
9 Sept 2026, 21:1656,964first reading

Engagement

1,509 posts held, back to 7 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
2.16%
avg views ÷ 64,249 subscribers
Avg views / post
1,390
614 posts measured
Reaction rate
0.082%
reactions ÷ views · ER floor
Posts in window
614
of 1,509 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 149 of 614 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 25 October 2026
Posts held1,509 (7 August 2026 – 25 October 2026)
Views total850,773
Reactions total179
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 08:06 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
≈21,000
Videos
≈26,700
Links
≈6,750

Lifetime counters from Telegram’s own channel header, read 25 October 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
10h 52m
Average length
50s

Measured directly from 777 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

237 reactions across 201 posts, in 7 distinct kinds. The most used accounts for 91.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍21691.1%
❤83.38%
🥰41.69%
⚡31.27%
🔥31.27%
👏20.844%
😍10.422%

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 208 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 237 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 5 September 2026 to 25 October 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

25 Oct 2026, 04:29 UTC17 viewsread 25 October 2026
Photo

#反差 #女大 #酒吧 #母狗 #清纯 在学校里还是一副青春学生模样,一进酒吧就彻底放飞成骚母狗,清纯女大人设瞬间崩塌,浪得不行。

25 Oct 2026, 03:23 UTC22 viewsread 25 October 2026
Photo

苹果宣布向西藏地震灾区捐款,网友反讽:“脊梁骨没听说捐钱,警惕海外势力” 10月23日,苹果CEO约翰·特努斯宣布,将捐款支持西藏那曲地震灾区的救援组织。库克随后转发,表示牵挂受灾民众,并感谢一线搜救人员。 网友调侃: “脊梁骨没听说捐钱,警惕海外势力” “恶意慈善这个词好不好” 还有网友问:“遥遥领先呢”,有人接话:“正在研究刹车踏板呢”。 10月22日,西藏那曲市巴青县发生7级地震。据中国官方通报,截至23上午7时,地震已造成16人死亡、54人受伤,其中11人重伤。以下为我们从网络搜集的现场图片和视频:

25 Oct 2026, 03:19 UTC≈2,300 viewsread 25 October 2026
Video

男子抢了5万个餐厅排队号 “最多的一天有900多个空号,我们一个空号叫过去,需要有3秒时间……”热门餐厅刚开门,线上取号系统就显示数百人排队,叫号不断却没人进店用餐。这不是系统故障,而是新型技术黄牛在作祟。上海警方侦查发现,雷某利用技术手段破解取号系统,批量抢占号源,累计非法获取号源5万余个,在网络平台加价倒卖,非法获利1万余元。目前,雷某因涉嫌非法控制计算机信息系统罪,已被刑事拘留。

25 Oct 2026, 03:16 UTC≈3,020 viewsread 25 October 2026
Video

日剧把日军罪行嫁接给中国人 日本TBS电视台的电视剧《Vivant》(《别班》),剧情有多离谱?剧中设计了中方人员对日本情报人员实施切指、刺穿腹部的情节,这些手段和侵华日军对中国抗日志士使用过的酷刑高度重合,而剧中则颠倒黑白,将其嫁接到现代中国人的形象之上;整部剧悄悄美化日本海外越界行动,模糊自卫队的职能边界,变相输出扩张式叙事,更可笑的是,剧中一个自卫队情报人员坐着飞机逃离时,还对中方人员说,“要是这架飞机被攻击,就等着西方大举出动把你们碾碎……”更值得警惕的是:日本外务省斥巨资搞对华舆论抹黑和歪曲历史、用AI视频篡改历史、用AI大模型“投毒”、持续篡改教科书——从屏幕到课本,这是一套系统性叙事工程,与右翼政客参拜“战犯神社”背后是同样的历史观。娱乐化包装的敌意,比赤裸裸的宣传更危险。

Showing the 12 most recent of 1,509 posts we hold for @ZTX95. 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

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.

吃瓜中心
@chigua181 · 9,693
#1
头像 文案 壁纸 鸡汤 分享
@wasc001 · 1,750
#2
今日吃瓜🍉
@Chi_GuaNB · 493
#3
东南亚大事件 东南亚新闻 东南亚爆料
@jpzvo · 200,189
#4
SOSO头条新闻
@sosonews · 4,670
#5
柬埔寨大事件
@AQzx_1 · 165,257
#6
曝光/吃瓜/搞笑/大事件【南派】🔴
@chigua_08 · 81,588
#7
文明观球理性吃瓜
@aimeinv88 · 23,698
#8
你本該知道
@nbgzd · 10,307
#9
Free•News
@NFSCHimalayaNews · 9,347
#10
INFO RASMI IBU BAPA TSJ2
@ibubapatsj2 · 687
#11

Read from Telegram’s recommendation API, most recently 18 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 · 23,698
Telegram ranks this channel #8 of 20 here — alongside 19 others — read 18 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 24 October 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜中心🪅龙行知天下🌏” (@ZTX95), 64,249 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/ZTX95.

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.