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Telegram profile photo for 露娜

Channel

露娜

@luna95223

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,238subscribers

+769 since we began measuring on 26 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004305003434
TypeChannel
Username@luna95223
CreatedBetween 1 June 2026 and 8 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 August 2026
Last confirmed live2 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/luna95223

Growth

1,4692,2381,853.526 August 2026 — 1,469 subscribers26 August 2026 — 1,591 subscribers29 August 2026 — 2,228 subscribers2 September 2026 — 2,238 subscribers26 August 20262 September 2026
4 measurements spanning 7 days, net +769. 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 1,354–2,353 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 00:542,238+10
29 Aug 2026, 16:252,228+637
26 Aug 2026, 17:121,591+122
26 Aug 2026, 10:151,469first reading

Engagement

15 posts held, back to 8 July 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.68%
avg views ÷ 2,238 subscribers
Avg views / post
59.9
10 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
11
of 15 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 2 of 10 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 26 August 2026
Posts held15 (8 July 202626 August 2026)
Views total599
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Aug 2026, 10:15 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
6s
Average length
6s

Measured directly from 1 video 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 4 of the 15 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 8 July 2026 to 26 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

26 Aug 2026, 10:00 UTC26 views0 reactionsread 26 August 2026
Photo

🎉 白云 露娜的福利优惠 📝 抽奖说明:半价免定,中奖者主动联系老师 @lunana223 ,不得转手转卖,兑奖必须写报告,五天内有效,逾期回收至兑换区。 ✅ 参与条件: 1. 加入 广州凤吟修车茶馆 2. 加入 广州凤吟修车娱乐资源 3. 加入 广州凤吟修车茶馆备用群 4. 加入 广州凤吟修车娱乐资源私密1 5. 加入 露娜 6. 加入 免费抽奖导航 🎁 奖品内容: • 1p半价券 × 1 • 奶茶补贴9.9元红包 × 5 ⏰ 开奖时间:2026-08-30 20:00 👇 点击下方按钮参与抽奖

26 Aug 2026, 09:57 UTC30 viewsread 26 August 2026
Photo

🎰 【骑士团☆露娜 半价活动】 🎫 加入的前置频道: 🎫 加入 —— 广州少女御姐榜 🎫 加入 —— 广州少女御姐骑士团 🎫 加入 —— 广州少女御姐预备榜 🎫 加入 —— 广州少女御姐甄选😘 🎫 加入 —— 骑士团预备群 🎫 加入 —— 露娜 🎟️ 要求活动期间群内发言数 20 🎁 奖品内容: 半价p × 1 12.8🧧红包 × 3 💡 活动说明: 👉🏻① 开奖时间起(7天内兑奖,过期作废) 👉🏻② 炸号中奖作废 (老师可以拒绝兑奖) 👉🏻③ 出击完7日内提供详细的报告提交: 「严莉莉」 @yanlili_bot 否则拉黑并通报。 👉🏻④ 禁止转让或买卖,否则拉黑名单挂榜。 📢为保证老师的利益,请老师兑奖严格按照机器人🤖推送的 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年08月28日 16时00分00秒 ⚡️ 加成说明: ⚡️ 加成消耗:6个少女币🎖 ⚡️ 加成次数:8 ⚡

26 Aug 2026, 09:50 UTC43 viewsread 26 August 2026
Photo

🎉 广州茶馆-露娜半价券 🎁 奖品清单 • p半价券(必须写 报告) × 1 🛡️ 参与条件 • 加入 广州茶馆 • 加入 广州茶馆-在榜老师(新榜) • 加入 广州茶馆甄选轮播群 • 加入 广州茶馆老师榜【备胎】 • 加入 露娜 • 必须设置用户名 ⌛ 抽选时刻 • 2026-08-30 22:48:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金和巨量圣晶石!!! 兑奖 @lunana223 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

26 Aug 2026, 09:31 UTC41 viewsread 26 August 2026
Photo

本群独家合作伙伴 【糖心app】台湾知名视频网站(麻豆传媒同级) 【51品茶(51茶馆)】国内最大修车平台 全广州活动最多,真人最多,查找老师功能最全,狼友最活跃的群! https://telegram.me/gzcg9

26 Aug 2026, 09:27 UTC33 viewsread 26 August 2026
Forwarded from @GZFYLBPhoto

艺名:露娜 地区:#白云 标签:御 蛇 毒龙 指滑 漫游 深厚 波推 69 口报 丝袜制服 视频已验证 消费: 500p 800pp 联系:@lunana223 频道:https://t.me/luna95223

Showing the 12 most recent of 15 posts we hold for @luna95223. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 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.

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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“露娜” (@luna95223), 2,238 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/luna95223.

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.