淫娃女主播 baobaoli 宠粉大秀 为满足观众震穴产蛋卵 戴套揉花蒂汁液喷溅! #反差女主播baobaoli #baobaoli付费大秀 #baobaoli自慰视频 #baobaoli #下蛋 #自慰 #女主播 #喷水 #白虎 #美乳 #51吃瓜 #51吃瓜网 查看完整版👉 https://51cgo13.com/?path=/archives/273556/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app

Channel
51吃瓜官方频道
@chigua51_15
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
10,732subscribers
+1,497 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 | -1003739145235 |
|---|---|
| Type | Channel |
| Username | @chigua51_15 |
| Created | Between 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/chigua51_15 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 10:55 | 10,732 | +54 |
| 1 Sept 2026, 13:02 | 10,678 | +42 |
| 31 Aug 2026, 10:36 | 10,636 | +58 |
| 30 Aug 2026, 10:27 | 10,578 | +79 |
| 29 Aug 2026, 07:48 | 10,499 | +49 |
| 28 Aug 2026, 06:34 | 10,450 | +55 |
| 27 Aug 2026, 05:38 | 10,395 | +84 |
| 26 Aug 2026, 02:28 | 10,311 | +39 |
| 24 Aug 2026, 23:29 | 10,272 | +73 |
| 23 Aug 2026, 13:35 | 10,199 | +83 |
| 22 Aug 2026, 01:55 | 10,116 | +221 |
| 18 Aug 2026, 10:14 | 9,895 | +207 |
| 15 Aug 2026, 04:18 | 9,688 | +205 |
| 11 Aug 2026, 12:04 | 9,483 | +222 |
| 8 Aug 2026, 01:22 | 9,261 | +26 |
| 7 Aug 2026, 16:31 | 9,235 | first reading |
Engagement
137 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 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.75%
- avg views ÷ 10,732 subscribers
- Avg views / post
- 188
- 132 posts measured
- Reaction rate
- 0.396%
- reactions ÷ views · ER floor
- Posts in window
- 137
- of 137 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 27 of 132 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 137 (7 August 2026 – 1 September 2026) |
| Views total | 24,854 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 20:36 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.
Reaction mix
24 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 75.0% | |
| 👍 | 4 | 16.7% | |
| 🖕 | 2 | 8.33% |
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 27 of the 137 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 137 most recent posts we hold, published 7 August 2026 to 1 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
空悲切是什么梗?福利姬小鱼自慰 竟被瓜友玩原神救己不救她认出 结果竟是亲姐姐! #空悲切 #空悲切事件 #福利姬小鱼 #小鱼事件 #空悲切原神 #空悲切是什么梗 #空悲切怎么回事 #福利姬小鱼是谁 #空悲切事件始末 #原神救了自己是什么梗 #吃瓜吃到自己家 #小鱼 #原神 #姐弟 #福利姬 #51吃瓜 #51吃瓜网 #黑料 #吃瓜 查看完整版👉 https://51cgo13.com/?path=/archives/273630/ 最新吃瓜地址👉 https://t.me/i51chiguaguanfang 51吃瓜TG群👉 https://t.me/chigua51_13 51吃瓜官方App👉 https://51cg.app
虎牙极品主播 车老板 骚舞精选合集 巨乳摇摆肥臀摇晃 多套诱惑装扮一次看个够! #虎牙主播车老板骚舞精选合集 #车老板 #虎牙 #主播 #骚舞 #合集 #热舞 #丝袜 #黑丝 #巨乳 #肥臀 #51吃瓜 查看完整版👉 https://51cgo13.com/?path=/archives/273581/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
每日大赛之【深喉大赛】第六期 欢迎各大网友来评审投稿 #深喉 #深喉大赛 #口交 #露脸 #口爆 #每日大赛 #51吃瓜每日大赛网友投稿 #51吃瓜每日大赛独家投稿 #51吃瓜投稿赚钱 #51吃瓜 #51吃瓜网 #黑料 查看完整版👉 https://51cgo13.com/?path=/archives/273593/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
顶级网黄 Kiki小野猫 剧情演绎 老婆出轨房东大叔 假屌抽插白虎嫩穴高潮喷水太骚了 #Kiki小野猫剧情演绎出轨房东大叔 #Kiki #Kiki小野猫 #小野猫 #喷水 #nidekikibabe #巨乳 #肥臀 #白虎 #人妻 #出轨 #骚货 #骚话 #淫语 #51吃瓜 #51吃瓜网 #吃瓜 #黑料 #渔网袜 查看完整版👉 https://51cgf13.com/?path=/archives/273083/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
抖音博主 小鼠 与榜一大哥私密视频 3000解锁线下约炮 后期直接跟土豪跑路 #小鼠 #抖音 #东北女大学生 #足交 #口交 #足控 #线下 #跑路 #榜一大哥 #小鼠与榜一大哥私密视频 #51吃瓜 #51吃瓜网 #吃瓜 #黑料 查看完整版👉 https://51cgf13.com/?path=/archives/273057/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
👍1
微信视频号828崩盘 审核失守大量黄播流出 快手黄片事件再次重演 网友直呼又自由了! #微信视频号黄播事件 #微信视频号828崩盘 #微信视频号审核崩盘 #微信视频号怎么了 #微信视频号黄播入侵 #微信视频号 #微信 #微信异常 #微信故障 #视频号入侵 #视频号 #8月28号 #审核 #黄播 #擦边 #露骨 #审核崩盘 #51吃瓜 #51吃瓜网 #黑料 #吃瓜 查看完整版👉 https://51cgf13.com/?path=/archives/273075/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
👍1
推特淫妻 小KK 扮纯洁新娘公厕野战 半透薄纱玉体诱人 露脸跪舔后入猛干 #推特 #淫妻 #小KK呀 #野战 #公厕 #婚纱 #后入 #口交 #指奸 #露脸 #推特淫妻小KK呀 #小KK呀公厕调教 #51吃瓜 #51吃瓜网 #黑料 #吃瓜 查看完整版👉 https://51cgf13.com/?path=/archives/273041/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
邻家小妹 EnEnxiaobao 直播大秀 双马尾萝莉揉胸挑逗 跳蛋塞逼自慰 浪叫声摄人心魄 #EnEnxiaobao直播自慰大秀 #EnEnxiaobao #嗯嗯小宝 #萝莉 #自慰 #白丝 #双马尾 #跳蛋 #直播自慰 #直播大秀 #直播 #51吃瓜 查看完整版👉 https://51cge13.com/?path=/archives/272921/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
快手网红 Tt濭 定制福利合集 身着开档黑丝主动骑乘 败火大奶看得人鼻血横流! #快手网红Tt濭定制福利合集 #Tt濭 #快手 #网红 #巨乳 #骚货 #定制福利 #黑丝 #开档 #翘臀 #自慰 #约炮 查看完整版👉 https://51cge13.com/?path=/archives/272930/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
高颜值女神 SelenS 开票大秀 巨型假屌抽插白虎嫩穴 大奶摇晃自慰高潮喷水 #SelenS开票自慰大秀 #SelenS #自慰大秀 #自慰直播 #巨乳 #自慰 #丝袜 #白虎 #嫩穴 #喷水 #51吃瓜 #51吃瓜网 查看完整版👉 https://51cge13.com/?path=/archives/272905/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
51原创短剧 重生之系统让我当玩偶姐姐 摘下口罩化身骚鸡 为得百万奖励被贯穿宫腔! #重生之系统让我当玩偶姐姐 #玩偶姐姐 #口罩 #卖逼 #重生 #ai成人短剧 #成人ai短剧 #ai短剧成人 #ai成人剧 #成人短剧 #AI短剧 #AI 查看完整版👉 https://51cge13.com/?path=/archives/272978/ 最新吃瓜地址👉 https://t.me/i51chigua/3 51吃瓜TG群👉 https://t.me/i51chigua/5 51吃瓜官方App👉 https://51cg.app
Showing the 12 most recent of 137 posts we hold for @chigua51_15. 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 — 403,511 of 1,630,085 entries 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.
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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@chigua51_15 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 45 posts, 8 August 2026 – 2 September 2026
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“51吃瓜官方频道” (@chigua51_15), 10,732 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/chigua51_15.
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.