Telegram RegisterThe public register of Telegram

Channel

轮回娱乐『网红曝光爆料』

@LunHuiYuLe

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

849subscribers

+2 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004308649684
TypeChannel
Username@LunHuiYuLe
CreatedBetween 1 June 2026 and 5 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/LunHuiYuLe

Growth

8478498488 Aug 2026, 07:19 — 847 subscribers8 Aug 2026, 09:51 — 849 subscribers8 Aug 2026, 07:198 Aug 2026, 09:51
2 measurements taken within a single day, net +2. 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 847–849 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 09:51849+2
8 Aug 2026, 07:19847first reading

Engagement

16 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.5%
avg views ÷ 849 subscribers
Avg views / post
268
16 posts measured
Reaction rate
0.344%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 6 of 16 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 8 August 2026
Posts held16 (5 August 20268 August 2026)
Views total4,283
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:19 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

5 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5100.0%

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 6 of the 16 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 5 August 2026 to 8 August 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

8 Aug 2026, 04:03 UTC58 viewsread 8 August 2026

7k 查档 免费社工机器人 x同款数据 完全公益 @sevenk666bot 对接联系人:@ylyt5 业务频道:@sevenk6666 春江1111已上押1600u 全网押金4600u 查档有保障!

8 Aug 2026, 04:03 UTC59 viewsread 8 August 2026

老牌专业查档3年 源头医疗记录3个版本的医疗供你挑选 出单率不是外面的野鸡可以比较的 源头地区房产 高达29个地区可以出 出名下所有!!! 查档客服 @xujjj

8 Aug 2026, 04:02 UTC59 views1 reactionsread 8 August 2026

综合机器人用 @sha520bot 内含功能: 核验类(全部企业接口) 1. 人脸核验 0.1分/次 2. 名字 身份证 核验 0.01分/次 3. 名字 手机号 核验 0.05/次 4. 名字 手机号 身份证 核验 0.05/次 5. 银行卡二三四要素核验 0.06/次 综合功能类 1. 联通机主查询 1分/个(24小时秒)❗️❗️ 2. 抖音号反手机号 1分/个(凌晨12发车 隔天早12回车) 3. 三网名下手机号 1分/个(一天两批 包不遗漏) 4. 全国真大头 1分/个 (07:00-19:30) 1u=1分 欢迎使用! 支持Okpay USDT 充值双通道 秒到账! 持续更新,后续会加入更多功能…… 【查档看下面👇频道置顶】 杀神本人 @shashen 业务频道 @SSCD66 模板频道 @SSCD68

1

7 Aug 2026, 15:22 UTC262 views2 reactionsread 8 August 2026
Photo

网红曝光 全网🆔无畏契约小羊崽 #小羊崽 姓名: 杨琳雅 抖音:「91081943425」 👉👉👉点击查看详细资料👈👈👈 【抽奖】评论区抽取一名积极观众,送投稿机会 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。

2

7 Aug 2026, 14:04 UTC272 views0 reactionsread 8 August 2026
Photo

投稿人:@webshell777 (蛤蟆) 感谢这位作者煞费苦心,非要在这份“赛博史册”上给我硬塞一个席位,不过遗憾的是,你们小圈子里口口相传的“惊天大案”,在我这儿还真排不上号,你们这么执着地要把我塑造成某种恶俗大魔头,我也只能勉为其难地笑纳,当茶余饭后的消遣了 至于说我嫉妒赚钱、忙着“洗白”?我倒是好奇,一个连现实生活都需要靠脑补我“落魄”来获得精神愉悦的人,究竟要有多么清贫的内心,才能把别人凭本事换来的安稳日子,硬生生臆想成“苟且偷生”?或许对你们来说,每天在网络上嘴炮输出“正义感”,就能抵得上我日常的零头吧 你们在码字宣泄,我依然在闷声发大财。目前你们这群傻逼网蛆的爹不仅过得好,还过得十分滋润,吃得好睡得香,没空理会你们那些脑补出来的“江湖恩怨”,人生在世,酸别人的现状改变不了自己的窘迫 话就放在这,你们这群网蛆尽管编排、尽管造谣,我当看个乐子 祝福各位“正义使者”在现实生活中,也能拥有和你们键盘上一样丰富的收获,好好

7 Aug 2026, 03:17 UTC298 views0 reactionsread 8 August 2026
Photo

网红曝光 全网🆔唯一缺点就是帅 姓名:朱诺儿 抖音:「ZNE090212 O」 「77224620836」 「aiyun64635」 👉👉👉点击查看详细资料👈👈👈 【抽奖】评论区抽取一名积极观众,送投稿机会 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。 #唯一缺点是帅 #诺米饭 #诺 #甜妹 #网红

5 Aug 2026, 14:56 UTC411 viewsread 8 August 2026
Photo

网红曝光 全网🆔原来是圣帝 姓名: 李圣帝 抖音:「diana_sd」 👉👉点击查看详细资料👈👈 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。

5 Aug 2026, 02:05 UTC412 viewsread 8 August 2026

网红曝光 全网🆔zyanz #全网首发 姓名: 封卓妍 抖音:「yy_fish0」 👉👉👉点击查看详细资料👈👈👈 【抽奖】评论区抽取一名积极观众,送投稿机会 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。

5 Aug 2026, 02:05 UTC385 viewsread 8 August 2026
Photo

网红曝光 全网🆔星野新一 姓名: 李蒙 抖音:「617824368」 👉👉点击查看详细资料👈👈 评价:神级换头术,不擦边挺好的 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。

5 Aug 2026, 02:05 UTC327 viewsread 8 August 2026
Photo

网红曝光 推特门槛女 姓名: 文思媛 推特号:@YuLin34431 👉👉👉点击查看详细资料👈👈👈 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。 学精了,知道用赞赏码了

5 Aug 2026, 02:05 UTC350 viewsread 8 August 2026
Photo

网红曝光 全网🆔小兰花 姓名:黄礼兴 抖音:「小兰花」 👉👉👉点击查看详细资料👈👈👈 【抽奖】评论区抽取一名积极观众,送一次投稿机会,只针对会员群的兄弟 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。 小编碎碎念:半夜整理到这个玩意儿给我恶心到了,头一次见这种男不男女不女的,证件照都看不出来是男的

5 Aug 2026, 02:05 UTC308 viewsread 8 August 2026
Photo

网红曝光 全网🆔香菇终结者 🤩 gjygjy1027 姓名:苟静语 职业:cos主播 👉👉👉点击查看详细资料👈👈👈 【抽奖】感谢中奖的群友,评论区抽取一名积极观众,送投稿机会 【官方声明】本信息由名人堂 网络采集生成,仅供内部参考。

Showing the 12 most recent of 16 posts we hold for @LunHuiYuLe. 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 — 1,086,319 of 1,340,412entries 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 1 registered channel — 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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“轮回娱乐『网红曝光爆料』” (@LunHuiYuLe), 849 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/LunHuiYuLe.

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.