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Channel

郑东新区抓龙筋

@zzkelly002

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

191subscribers

+0 since we began measuring on 18 September 2026

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

Register entry

Telegram ID-1003799631069
TypeChannel
Username@zzkelly002
DescriptionV: Kelly-spa ✈️: @zzkelly001 特色专业抓龙筋、前列腺高潮、脱敏延时、三起三落,疗愈身心,深度解压。个人工作室,环境干净,用品一客一换,泰国正宗抓龙筋,身体和心理的彻底放松与滋养。 位置:郑州高铁东站附近
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 September 2026
Last confirmed live18 September 2026
Measurements held2
On Telegramt.me/zzkelly002

Growth

19118 Sept 2026, 06:47 — 191 subscribers18 Sept 2026, 07:22 — 191 subscribers18 Sept 2026, 06:4718 Sept 2026, 07:22
2 measurements taken within a single day. 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 190–192 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 07:22191no change
18 Sept 2026, 06:47191first reading

Engagement

19 posts held, back to 28 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
72.4%
avg views ÷ 191 subscribers
Avg views / post
138
19 posts measured
Reaction rate
0.546%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 1 of 19 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 17 September 2026
Posts held19 (28 August 202617 September 2026)
Views total2,627
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Sept 2026, 07:22 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

Photos
159
Videos
132
Links
140

Lifetime counters from Telegram’s own channel header, read 18 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
30s
Average length
10s

Measured directly from 3 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1100.0%

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 1 of the 19 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 28 August 2026 to 17 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

17 Sept 2026, 23:23 UTC26 viewsread 18 September 2026
Video

2. 会阴与根部理筋:以指腹按揉、点压会阴、耻骨下方、大腿内侧根部筋膜,轻柔拨按周边软组织,侧重筋膜松解。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

17 Sept 2026, 16:51 UTC36 viewsread 18 September 2026
Photo

1. 前置放松:先做腹部、腰骶、腹股沟大面积推揉,放松盆底筋膜、疏通腹股沟淋巴,打开骨盆区域,不会直接触碰私密部位。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

16 Sept 2026, 17:39 UTC62 viewsread 18 September 2026
Video

• 力度:追求深层酸胀渗透感,不是越痛越好,暴力重按属于错误手法,易损伤精索、软组织。 • 部位:正宗古法以外围筋膜、腹股沟、小腹、盆底肌肉为主,并非直接揉搓生殖器。市面上很多旅游店的版本已经过度商业化、擦边化,和传统原版差别很大。 • 禁忌:精索静脉曲张、炎症、泌尿生殖系统急性病症人群不适合做此类按摩。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

15 Sept 2026, 16:56 UTC81 viewsread 18 September 2026
Photo

5. 震颤舒缓法:指端小幅度高频震颤,作用于下腹与会阴衔接处,放松神经末梢,减轻局部坠胀感。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

15 Sept 2026, 14:40 UTC75 viewsread 18 September 2026

泰式古法抓龙筋,治疗级! 有位,可约🌹🌹🌹

14 Sept 2026, 09:02 UTC100 viewsread 18 September 2026

泰式古法抓龙筋,治疗级! 有位,可约🌹🌹🌹

8 Sept 2026, 16:35 UTC190 viewsread 18 September 2026
Photo

1. 全身放松:先对腰骶、臀部、大腿后侧、下腹部做大面积推揉、掌压,松解盆腔周边肌肉,疏通浅层气血,避免直接操作深层筋络造成疼痛损伤。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

8 Sept 2026, 05:59 UTC175 viewsread 18 September 2026

男士的专属根浴养护 更大,更挺,更久,更强

7 Sept 2026, 18:10 UTC182 viewsread 18 September 2026
Photo

5. 震颤舒缓法:指端小幅度高频震颤,作用于下腹与会阴衔接处,放松神经末梢,减轻局部坠胀感。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

7 Sept 2026, 03:02 UTC179 viewsread 18 September 2026
Photo

4. 深层拨筋法:针对盆腔深部粘连的软组织,用指节缓慢横向拨动筋络,缓解久坐带来的盆底肌僵硬,该手法对操作精度要求极高。 🌍:ZzKELLY-spa ✈️:@zzkelly001 频道: https://t.me/zzkelly002 ✈️群:https://t.me/zzkelly003 双向机器人:@shanshanvipBot

Showing the 12 most recent of 19 posts we hold for @zzkelly002. 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.

Mentions

Named by 2 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.

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

“郑东新区抓龙筋” (@zzkelly002), 191 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/zzkelly002.

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.