【妹妹花名】:艺可 @Njyike 【报告署名】:哈哈 看看 【验证时间】:8月7日 【验证地点】:江宁同曦 【服务类别】:95 【修车水费】:500(工兵300p) 【妹妹类型】:御姐 【颜值身材】:8分 {年龄}:29 {颜值}:8 {皮肤}: 8 {罩杯}:B {身高}:166 {体重}:目测100斤 {赘肉}:没有 {颜值综合打分}:8 {身材综合打分}:8.5 【服务质量】:态度非常好 {服务内容}:课表里写的都有(胸滑调情吸皮情口做) {服务水平}:8.5 {服务态度}:8.5 {服务综合打分}:9 【是否疤痕】:无 【是否吸烟】:否 【课室卫生】:卫生干净 【周边环境】:干净 【综合打分】:9 【综合评述】:非常好 {优势}:身材高挑,服务好 {不足}:无 【过程概述】 抢到工兵以后立刻就联系老师,然后就出发了。到公寓,一进门交了水费,然后洗澡老师帮忙洗澡,然后就是上床做服务, 先是按摩了差不多10分钟,这是…

Channel
南京艺可的后花园
@Njyike1
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
172subscribers
+2 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003725566930 |
|---|---|
| Type | Channel |
| Username | @Njyike1 |
| Created | Between 1 February 2026 and 30 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/Njyike1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 15:59 | 172 | +2 |
| 12 Aug 2026, 23:15 | 170 | first reading |
Engagement
17 posts held, back to 30 March 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 160.1%
- avg views ÷ 172 subscribers
- Avg views / post
- 275
- 8 posts measured
- Reaction rate
- 0.526%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 17 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 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 17 (30 March 2026 – 10 August 2026) |
| Views total | 2,203 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 23:15 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.
Reaction mix
4 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 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 2 of the 17 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 30 March 2026 to 10 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
【妹妹花名】:艺可 @Njyike 【报告署名】:小小德鲁伊 【验证时间】:8月6 【验证地点】:江宁胜太路 【服务类别】:95(中项) 【修车水费】:5p(工兵300) 【妹妹类型】:服务型 【颜值身材】: {年龄}:28,29 {颜值}:人照一致,比照片好看 {皮肤}:黄白 {罩杯}:B {身高}:165 {体重}:100 {赘肉}:基本无赘肉 {颜值综合打分}:8.5分 {身材综合打分}:9分 【服务质量】: {服务内容}:服务系 {服务水平}:iso {服务态度}:非常好的态度非常有耐心 {服务综合打分}:9分 【纹身疤痕】:没仔细看应该是没有 【是否吸烟】:无烟味 【课室卫生】:干净 【周边环境】:公寓 【综合打分】:9分 【综合评述】:有耐心,颜值高身材好,皮肤白,三点粉, {优势}:身材好,服务棒 {不足}:不年轻了 【过程概述】:进门口先去洗洗,老师帮洗,洗到正面时候老师蹲下来口了起来,洗好后上床趴好,开…
【妹妹花名】:艺可 @Njyike 【报告署名】:匿名 【验证时间】:8月6日 【验证地点】:江宁同曦 【服务类别】:95 【修车水费】:500kb( 工兵-200) 【妹妹类型】:少妇 【颜值身材】:8.5分 {年龄}:26-27 {皮肤}:黄皮 {罩杯}:C- {身高}:160左右 {体重}:95 {赘肉}: 无 {颜值综合打分}: 8分 {身材综合打分}:8分 【服务质量】: 非常好,莞式服务 {服务内容}:课表该有的都有 {服务水平}:非常细致 {服务态度}:态度很好 {服务综合打分}: 9分 【纹身疤痕】:无 【是否吸烟】:无 【课室卫生】:公寓,无门禁 【周边环境】:离地铁近 【综合打分】:8.5分 【综合评述】:课室就在地铁旁边,很方便就到了。进门聊了会就去洗澡了。老师问要不要帮忙,看浴室太小了,就没要。浴室虽然小但是卫生很干净。先是帮忙按摩放松,然后是b面指划,胸推,过皮吸水。非常细致,吸的很有劲…
❤1
开课宝贝们
#南京 #南京95 太考虑别人感受注定对不起自己
#南京 闭上眼睛尽情享受 想我来约哥哥们😘
南京艺可的后花园 pinned a photo
😇哥哥好啊、我是 艺可 😇年龄:25 身高166体重:100🐻:c➕ 😇开课地址:江宁区新贵之都 😇身材苗条,皮肤白皙,乖巧懂事,温柔体贴,服务内容(助🛀、指滑、胸滑、鼻滑、猴子偷🍑、臀滑、口活、毒龙💋臀推、蛇纹 胸推、丝足、口💥配合度高、不矫情、)有特殊爱好者可以提前沟通,不过分的要求都可以满足哈。 🥰中项💰:500KB 一次,50 分钟 🩷中项💰:600KB一次➕手推一次60 分钟 😍中项💰:700KB两次 70分钟 800可大全套 微信、支付宝、现金、都行、最好是现金哈 请尽量提前备好现金 谢谢❌❌❌❌🈲酒🈲💊拒接㊙️ ㊙️电报号: @Njyike ㊙️双向机器人: @Njyike3bot ㊙️交流群:https://t.me/Njyike2 ㊙️频道 :https://t.me/Njyike1
❤3
开课中
开课啦
开课宝贝们
Photo, posted without a caption
Showing the 12 most recent of 17 posts we hold for @Njyike1. 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 — 1,241,796 of 1,480,688entries 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“南京艺可的后花园” (@Njyike1), 172 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Njyike1.
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.