👉🏻灰产吃瓜 @Sviprr 👉🏻吃瓜曝光 @Xocow 👉🏻东南亚大新闻 @Bc716 😮吃瓜群众 @Ton5c 😮色色吃瓜 @Eysiy 😮吃瓜搞笑 @cg776 😘欧美 @Uowey 😘欧美2 @xigot 😘欧美3 @Ofutt 😘日本无码 @Daacy 😘日本Fac @Rav266 😘日本中文字幕 @Eycco 😘 国产无码 @Vojoj 😳表情包 https://t.me/pu229/7 😚色频解除教程 https://t.me/pu229…

Channel
吃瓜群众美女合集
@eysiy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,163subscribers
+448 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002715486411 |
|---|---|
| Type | Channel |
| Username | @eysiy |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/eysiy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 09:40 | 11,163 | +32 |
| 3 Sept 2026, 12:00 | 11,131 | +1 |
| 2 Sept 2026, 04:25 | 11,130 | +4 |
| 1 Sept 2026, 05:44 | 11,126 | +14 |
| 31 Aug 2026, 06:26 | 11,112 | +29 |
| 30 Aug 2026, 04:28 | 11,083 | +5 |
| 29 Aug 2026, 01:17 | 11,078 | +29 |
| 28 Aug 2026, 01:34 | 11,049 | +17 |
| 26 Aug 2026, 22:43 | 11,032 | +23 |
| 25 Aug 2026, 22:52 | 11,009 | +10 |
| 24 Aug 2026, 23:15 | 10,999 | +29 |
| 23 Aug 2026, 09:54 | 10,970 | +21 |
| 21 Aug 2026, 21:28 | 10,949 | +12 |
| 20 Aug 2026, 17:03 | 10,937 | +13 |
| 19 Aug 2026, 15:47 | 10,924 | +16 |
| 18 Aug 2026, 18:42 | 10,908 | -10 |
| 17 Aug 2026, 18:16 | 10,918 | +35 |
| 16 Aug 2026, 14:24 | 10,883 | +36 |
| 14 Aug 2026, 23:04 | 10,847 | +14 |
| 13 Aug 2026, 11:48 | 10,833 | first reading |
Engagement
331 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.39%
- avg views ÷ 11,163 subscribers
- Avg views / post
- 155
- 331 posts measured
- Reaction rate
- 0.562%
- reactions ÷ views · ER floor
- Posts in window
- 331
- of 331 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 14 of 331 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 331 (7 August 2026 – 3 September 2026) |
| Views total | 51,197 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 01:57 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
- 2h 39m
- Average length
- 40s
Measured directly from 239 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
13 reactions across 12 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 100.0% |
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 14 of the 331 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 331 most recent posts we hold, published 7 August 2026 to 3 September 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_6630426559
😢爱猫协会强烈谴责虐待动物行为。💚 #虐待动物 #虐猫 动物虐待行为应受法律与道德谴责
#美女 #合集
河南省学校阳台均覆盖钢网,结构类似监狱或特定园区。
发生了什么情况?
9月1日,湖北襄阳公安官方账号发布视频,显示警方在襄阳高新外国语学校开学当天开展突击检查,对学生私人物品进行翻检。 该视频评论区引发大量网友嘲讽,相关评论包括: “监狱就该这么管理” “请找出和监狱不同的地方” “这么多不到18岁就进监狱的孩子啊”
新手上路
即使是违法犯罪行为,又有何妨?
宇树科技股价跌破550元,较开盘价1100元下跌50.3%。
罗伯特·清崎(Robert Kiyosaki),畅销书《富爸爸穷爸爸》作者,承认已负债12亿。他以房产作抵押借贷,将资金投入投资并持续滚动杠杆。 清崎称此为富人策略:用债务撬动能产生收益的资产,而非依赖现金储蓄逐步购置。目前,他与朋友已持有1500套出租房产,并引以为傲。
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_6630426559
Showing the 12 most recent of 331 posts we hold for @eysiy. 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 4 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.
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,652,95621 posts东南亚大事件(吃瓜曝光版)
@Ag722 · 21,0108 posts东南亚大事件(吃瓜曝光)
@Ag811 · 22,2658 posts捷克欧美无码Av黑人白人国产口交
@Av635 · 90,8918 posts中文字幕日本Av
@Av751 · 7,1118 posts国产日本无码破解Av少妇反差调教
@av924 · 19,1438 postsAv关键词搜索
@av938 · 12,1968 posts东南亚大事件吃瓜
@Bc716 · 30,5068 posts吃瓜搞笑
@cg776 · 9,3958 posts日本无码破解av母狗按摩调教
@daacy · 311,6048 posts频道合集.防封中专
@pu229 · 4,3418 posts东南亚吃瓜爆料
@pu599 · 9,7538 posts日本无码破解av巨乳口交自慰
@Rav266 · 4,5648 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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜群众美女合集” (@eysiy), 11,163 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/eysiy.
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.