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Channel

👌Ok SPA好評頻道👌

@Jennie13809

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

145subscribers

+24 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1004497965253
TypeChannel
Username@Jennie13809
CreatedBetween 1 June 2026 and 7 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Jennie13809

Growth

1211451337 August 2026 — 121 subscribers7 August 2026 — 123 subscribers9 August 2026 — 123 subscribers14 August 2026 — 145 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +24. 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 117–149 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:14145+22
9 Aug 2026, 03:16123no change
7 Aug 2026, 14:24123+2
7 Aug 2026, 10:47121first reading

Engagement

13 posts held, back to 7 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
154.7%
avg views ÷ 145 subscribers
Avg views / post
224
13 posts measured
Reaction rate
0.262%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 13 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 held13 (7 August 20268 August 2026)
Views total2,917
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 03:16 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

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 13 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 7 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, 05:02 UTC60 viewsread 9 August 2026

#urbanreport Report By Yu Ka 7.0以上已經係合格線 1) 代號/tg名: OK 2) 地區: JD 3) 囡名/編號 : 梓宣 4) 家用: 700+DLC 5) 囡囡樣貌: 8.1/10 身材評價 : 8.3/ 10 目測年齡 (20-?/21-23/23+) :24+ 目測波路&係唔係真波 (係/唔係) :感覺自決,真,大B細C 6) 囡囡服務評價 : 8.9/ 10 (服務內容、技術 etc.) 車牌 (大中細碰碰車) : 大大大大大車 評語 : 本來約左甚佳可惜佢呀姨過左黎搵佢,仲諗住老朋友聚聚舊,咁約唔到老朋友都要識下啲新朋友,擴闊一下生活圈子,於是同客服講轉梓宣,準時到埗,囡囡開門,對到相7成多啲但一定入到閘,而且笑容好好,絕對係甜美兒,入房等佢報鐘囡囡已經主動攬攬,仲開大車了,女車手呢3個字真係當之無愧,車到叔叔都暈暈地,幫手解甲掛好衫拖

7 Aug 2026, 18:04 UTC78 viewsread 9 August 2026

#urbanreport 1) 代號/tg名:OK 2) 地區: JD 3) 囡名/編號 : 舒雅 4) 家用: 900+DLC 5) 囡囡樣貌:7.5/10 身材評價 : 7.25/ 10 目測年齡 : 25+ 目測波路&係唔係真波 : 堅挺大C 6) 囡囡服務評價 : 8.5 / 10 大概評分準則 <4 DM 5 麻麻地 6 勉強合格 7 算幾好 8 好難有 9 我不配 車牌 : 大車 評語 : 又一次寫膠想先寫總結: 呢條囡勁勁勁好玩,全程無冷場態度同服務交足貨,就係要呢D。新囡搞得掂我改60mins 再改75mins 慢慢玩,都算少有,有緣約到值得試試。 預知要OT到爆,見有新囡廣告順眼,一早約好時間,收工即飛車入閘。精氣神嚴重不足,囡囡打招呼面盲左陣,先去個廁所。 入房鎖門完全唔同哂,囡囡自來熟,熱情帶挑逗得嚟態度溫柔。未除衫已經坐大脾抱抱碰車,攬左陣先叫我幫佢解甲,0黑面氣氛舒適

7 Aug 2026, 14:36 UTC76 viewsread 9 August 2026

#urbanreport 1) 代號/tg 名:OK 2)地區:JD 3) 囡名/編號: 噴泉 4)家用:600+tips 5) 囡囡樣貌:8/10 又係真人靚過相 隻眼識放電 好淫 身材評價:8/10 C波 15幾 大pat 小小腩 目測年齡(20-?/21-23/23+):23+ 目測波路&係唔係真波(係/唔係) 6) 囡囡服務評價:9/10 車牌: 靈車 上完一個抖左陣,竟然見到噴泉,痕痕地又跟左佢入房,原來佢啱啱先到,整埋張床,襯我除緊衫就係背後攬埋吸抽我水,feel到佢好撚淫,簡單沖涼 skip水蕭,出去幫手抹身就一野含住我,啜左幾野上番床,考車一take pass,大大車,吹蕭一流,一離口成串口水滴左出嚟,好撚癲,食得夠深 又耐,快快趣上套,又嚟打樁機,一嚟就咁有挑戰性,揸實佢個大patpat幫佢,間中打左佢幾下,好彈手,騎完就搖,搖到七情上面,一開頭仲驚叫得好大聲,點知一屌就唔識停,拉佢落嚟邊車邊頂,好好屌,轉男上

7 Aug 2026, 12:06 UTC381 views1 reactionsread 9 August 2026
Photo

#urbanreport 1) 代號/tg 名:OK 2)地區:JD 3) 囡名/編號: 舒雅 4)家用:600+dlc 5) 囡囡樣貌:8/10 真人靚過相 身材評價:8/10 b波 157 皮膚滑 目測年齡(20-?/21-23/23+):23+ 目測波路&係唔係真波(係/唔係) 6) 囡囡服務評價:8/10 車牌: 大車 久休復出,搵新野試。開門坐一陣,見到舒雅真人,細細粒幾掂,入房就攬埋嚟,叫我幫手除衫,唔會冷場,沖涼仔細,搞掂就水蕭,估唔到佢食到咁深,即刻叫停,出去再車,車夠就攬下吹下,吹到成支野濕曬,仲笑淫淫問我夠未,抖一抖叫佢再吹,死頂爛頂,忍唔住要上套。一上嚟,入都入唔曬,慢慢嚟先得,勁緊,條野比佢吸實左咁,坐好就搖,搖完打莊機式騎,好撚勁,轉男上繼續,主動食佢手指,再車,叫聲好聽,轉後入最後衝刺,出撚左勁多比佢。揼一陣骨,沖涼走人 7)小插曲/特別之處: 8) 平日進食偏好:相頭,後生/姐幻,食feel 9)

1

7 Aug 2026, 11:53 UTC75 viewsread 9 August 2026

#urbanreport 1) 代號/tg名:ok 2) 地區: JD 3) 囡名/編號 :舒雅 4) 家用: 700(60mins)+dlc 5) 囡囡樣貌: 8.5/10 身材評價 : 8/10 目測年齡 (20-?/21-23/23+) :23+ 目測波路&係唔係真波 (係/唔係) :大B-C 6) 囡囡服務評價 : 8/10 車牌:大車 新店新環境新作風,終於得閒嚟留底個腳印,盲選直接揀,開門見到小隻馬,有d波路,好溫柔帶入房 床加埋沖涼房有d細,不過好好彩夠轉身,沖得好細緻,真係想捽老泥咁,淡淡定咁慢慢洗,又幾舒服,前後洗完,錫lin落去吹,有包裹感,爽,硬住乾身 拿拿臨快速抹完就趴低,有貓抓,波推幾下,會吹耳仔食耳珠,幾新鮮,好快就轉身, 望住靚靚樣係到周圍摸,進入調情環節,錫錫下lin拉佢上嚟考車,要加100哦,車咗先講,嘴仔細細幾好車,車咗陣放佢落去玩棍,

7 Aug 2026, 06:11 UTC92 viewsread 9 August 2026

#SpaReport Relax埸名:[佐敦Ok Spa] 幫你Relax嘅女仔:[甚佳〕 相頭:8.9-9.0/10 御姐,相頭宛若Kary家姐,堅靚 身材:9.3/10 細粒,瘦底天然軟軟細C波lin顏色較深,皮膚滑有少量紋身。 服務:9.9/10 服務態度同技術無可挑剔,非常非常好,主動俾水飲,事前事後侍浴加埋幫手乾身。服務做到足,含水吸背好專業玩晒全身好痕好舒服。淫底,主動同我玩角色扮演。口技高超,果招獅子擺頭堅有料,爭啲走火。入正場都係先女上,女上技術都好勁又爭啲走火,快快手轉返床角男上,期間角色扮演淫語不斷。火車便當配合出色,好似揸住✈️玩具。由於懷念囡囡騎術,再轉番女上玩一陣。女上妹妹時而成條進入,時而專榨龜頭,最終忍無可忍俾佢騎爆左。淫也爽也。 落樓價: 600 45min 預約安排: 安排非常好,reply超快 總結: 〔請簡單講下推介/翻食與否〕 淫底,有樣有波好服務,呢個價錢好少對手 =====

7 Aug 2026, 04:46 UTC86 viewsread 9 August 2026

#urbanreport 1) 代號/tg名: OK 2) 地區: JD 3) 囡名/編號 : 甚佳 4) 家用: 600+tips 5) 囡囡樣貌評價 : 8.5/ 10 囡囡身材評價 : 8.5/ 10 走肥,有波有腰 目測年齡: 23+ 目測波路&係唔係真波 : c,真 6) 囡囡服務評價 : 8.5 / 10 車牌 : 大車 評語: 大神話唔錯,去試下,開門見好靚女,入房擺仁野,倒水比我飲,飲完除衫沖涼,洗得好乾淨,洗完𡃶Lin 水蕭,好舒服好爽,出黎幫乾身,趴低美容骨貓抓波推漫游吸皮,爽,轉正,𡃶Lin 吹蕭,吹功超得,獅子搖頭加埋條脷發發下,差啲比佢吹爆,真係勁正,上套女上,周感超緊,好彩定力夠,差啲夾爆,轉男上,補下鈣,車插,抱起,掛鼓,轉男後,一樣咁緊,pf,轉男上,車下,揸波pf,收陰派彩,沖涼換衫交家用攬攬走人 記錄美好性生活 7) 小插曲/特別之處分享 : P

Showing the 12 most recent of 13 posts we hold for @Jennie13809. 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 — 352,744 of 1,550,220entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“👌Ok SPA好評頻道👌” (@Jennie13809), 145 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Jennie13809.

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.