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Channel

惠城~个人-青柠🍋‍🟩的频道

@qingning19988908

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

1,969subscribers

+135 since we began measuring on 24 August 2026

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

Register entry

Telegram ID-1003690804517
TypeChannel
Username@qingning19988908
CreatedBetween 1 December 2025 and 21 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live8 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/qingning19988908

Growth

1,8341,9691,901.524 August 2026 — 1,834 subscribers25 August 2026 — 1,839 subscribers27 August 2026 — 1,910 subscribers31 August 2026 — 1,938 subscribers3 September 2026 — 1,956 subscribers8 September 2026 — 1,969 subscribers24 August 20268 September 2026
6 measurements spanning 15 days, net +135. 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 1,814–1,989 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 11:571,969+13
3 Sept 2026, 06:231,956+18
31 Aug 2026, 03:131,938+28
27 Aug 2026, 23:591,910+71
25 Aug 2026, 05:371,839+5
24 Aug 2026, 22:001,834first reading

Engagement

20 posts held, back to 21 March 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
18.2%
avg views ÷ 1,969 subscribers
Avg views / post
359
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 August 2026
Posts held20 (21 March 202624 August 2026)
Views total718
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Aug 2026, 22:00 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
10s
Average length
5s

Measured directly from 2 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

28 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 82.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2382.1%
🔥310.7%
👍27.14%

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 11 of the 20 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 21 March 2026 to 24 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

24 Aug 2026, 10:51 UTC368 viewsread 24 August 2026
Photo

🎉 青柠的半价 🎁 奖品清单 • (@ning1999899)1p半价 × 1 🛡️ 参与条件 • 加入 惠州出击大队3.0群 • 加入 惠州出击大队2.0群 • 加入 惠州出击大队1.0群 • 加入 惠州公开榜1.0 • 加入 惠城~个人-青柠🍋‍🟩的频道 • 需消耗积分:5 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:100积分 • 祝福上限:无上限次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-08-28 17:30:00 📜 抽奖说明 刷屏、灌水、纯表情、复制粘贴、无意义对话、撤回内容等,一律视为无效发言,不计入统计! 再次重申:灌水无意义发言都不兑奖!请用心交流。 活动最终解释权归本群管理团队所有。 中奖的12小时内联系管理员领取 @Ajk1233 24小时内预约时间,72小时内出击,过时自动作废 炸号作废放回奖池重新抽奖 用了优惠劵要写报告

24 Aug 2026, 10:21 UTC350 viewsread 24 August 2026
Photo

今天开课了、宝宝们 可以预约了🫦🫦@ning1999899

29 Jul 2026, 14:48 UTC≈2,340 views7 reactionsread 24 August 2026
Photo

喜欢吗,特地拍给你看的🙄🙄

7

28 Jul 2026, 07:33 UTC≈2,380 viewsread 24 August 2026

~开课了、宝宝们 可以预约了🫦🫦@ning1999899

22 Jul 2026, 08:31 UTC≈3,020 views1 reactionsread 24 August 2026
Photo

~开课 开课 🤟🤟 @ning1999899

1

18 Jul 2026, 07:29 UTC≈3,390 views2 reactionsread 24 August 2026
Photo

~开课了、宝宝们 可以预约了🫦🫦@ning1999899

2

5 Jul 2026, 16:44 UTC≈4,160 views3 reactionsread 24 August 2026
Video

本人 认证视频哦❤️❤️

👍21

3 Jul 2026, 11:43 UTC≈4,090 views4 reactionsread 24 August 2026

#出击大队报告模板 📄【老师体验报告】 【老师花名】:青柠🍋‍🟩 【课室位置】:港汇附近 【上课费用】:pp 【出击时间】:7.4 【人照几分】:8.9 【身高身材】:164 【沟通态度】:优 【项目细节】:课表上有的都有 【是否超时】: 【卫生环境】:干净整洁 【自由评论】:跟老师联系好了就马上出发,进门看见老师身穿性感衣服,温柔地招呼换拖鞋。房间也干净整洁,交水费、一阵寒暄后就洗澡;来个水中萧,然后叫我趴在床上享受服务,背部漫游好舒服,那舌头也灵活,弄的我差点顶不住了,舔的痒痒的,感觉那对胸在背上软乎乎嫩嫩的好喜欢;柔软的舌头轻轻舔遍身体,然后换翻个面,独有的慢节奏让人心情放松,很舒服!进入后很紧,稍稍抽动几下后开始润滑了,有很多水,交换各种姿势,叫声很骚很撩人,不一会就交货了,休息聊天氛围也很好,休息足够后才继续服务第二次,服务一套下来戴帽先女上位后换后入,脑补画面不描述了,最终传统士缴械,太棒了。而后又休息了几分钟一起

4

Showing the 12 most recent of 20 posts we hold for @qingning19988908. 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 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.

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

“惠城~个人-青柠🍋‍🟩的频道” (@qingning19988908), 1,969 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/qingning19988908.

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.