https://tgjp8699.gorillawiki.jp/entry/1#commentstart

Channel
七海・日本大阪出張店|外送茶・泡泡浴・上門服務・女優
@F73ok
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
1,851subscribers
-36 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001965423931 |
|---|---|
| Type | Channel |
| Username | @F73ok |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/F73ok |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 06:44 | 1,851 | +5 |
| 26 Aug 2026, 21:25 | 1,846 | +2 |
| 24 Aug 2026, 08:02 | 1,844 | -2 |
| 20 Aug 2026, 19:33 | 1,846 | -1 |
| 14 Aug 2026, 13:54 | 1,847 | -25 |
| 11 Aug 2026, 11:33 | 1,872 | -15 |
| 8 Aug 2026, 00:57 | 1,887 | no change |
| 7 Aug 2026, 17:33 | 1,887 | first reading |
Engagement
8 posts held, back to 7 August 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
- 0.331%
- avg views ÷ 1,851 subscribers
- Avg views / post
- 6.1
- 8 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 8
- of 8 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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 8 (7 August 2026 – 7 August 2026) |
| Views total | 49 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:33 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
- 17s
- Average length
- 17s
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.
Recent posts
http://gcslash.actbbs.com/thread-186953-1-1.html
好茶需要慢慢搖 📱@3737miya 📱Telegram:@jp869 ⭐A777
優奈 165cm 22歲 D 天秤座 編號:5509 出勤🤩🤩:13:30-20:30 🤩🤩🤩🤩🤩 氣質高雅且帶著一絲神秘感的美麗佳人,高挑纖細的身材與勻稱迷人的胸型格外吸睛。溫和有禮的談吐與溫柔細膩的照顧,能帶給你最舒服自在的沉浸式放鬆體驗 🤩🤩🤩🤩 📱@3737miya 📱Telegram:@jp869 ⭐A777 ⬇️ 新手指南 🤩 大阪專属 :@F73ok 東京分部 :@HKJP5🤩 #新宿酒店 #池袋酒店 #上野酒店 #新宿格拉斯麗酒店 #APA酒店 #新宿王子大飯店
奈 160cm 20歲 B 雙魚座 編號:8820 出勤🤩🤩:15:00-23:00 🤩🤩🤩🤩🤩 穿著學生制服的清純系萌妹,散發著滿滿的青春活力與稚嫩氣息。修長勻稱的美腿搭配白膝襪,害羞又乖巧的個性,讓人忍不住想好好呵護,帶給你最純粹甜美的戀愛感覺 🤩🤩🤩🤩 📱@3737miya 📱Telegram:@jp869 ⭐A777 ⬇️ 新手指南 🤩 大阪專属 :@F73ok 東京分部 :@HKJP5🤩 #新宿酒店 #池袋酒店 #上野酒店 #新宿格拉斯麗酒店 #APA酒店 #新宿王子大飯店
月 161cm 23歲 E 水瓶座 編號:7731 出勤🤩🤩:12:00-19:00 🤩🤩🤩🤩🤩 短髮可愛系美少女,擁有讓人羨慕的E罩杯好身材。個性像貓咪一樣有點小調皮,卻非常細心懂事。每一次見面都能為你帶來滿滿的驚喜與心跳,陪伴你度過一段難忘的放鬆時光 🤩🤩🤩🤩 📱@3737miya 📱Telegram:@jp869 ⭐A777 ⬇️ 新手指南 🤩 大阪專属 :@F73ok 東京分部 :@HKJP5🤩 #新宿酒店 #池袋酒店 #上野酒店 #新宿格拉斯麗酒店 #APA酒店 #新宿王子大飯店
莉奈 163cm 21歲 F 巨蟹座 編號:3381 出勤🤩🤩:14:00-22:00 🤩🤩🤩🤩🤩 精緻精靈般的面容搭配飽滿傲人的F罩杯,精緻的鎖骨與完美腰臀比令人目不轉睛。溫柔親切的笑容伴隨著貼心無微不至的陪伴,能帶給你最治癒又迷人的奢華體驗 🤩🤩🤩🤩 📱@3737miya 📱Telegram:@jp869 ⭐A777 ⬇️ 新手指南 🤩 大阪專属 :@F73ok 東京分部 :@HKJP5🤩 #新宿酒店 #池袋酒店 #上野酒店 #新宿格拉斯麗酒店 #APA酒店 #新宿王子大飯店
彩乃 158cm 19歲 C 處女座 編號:4612 出勤🤩🤩:12:00-19:00 🤩🤩🤩🤩🤩 清純可愛的19歲鄰家女孩,擁有清澈動人的大眼睛與白皙柔嫩的肌膚。有點小靦腆卻非常貼心,無微不至的輕柔陪伴,能瞬間融化你一整天的疲憊 🤩🤩🤩🤩 📱@3737miya 📱Telegram:@jp869 ⭐A777 ⬇️ 新手指南 🤩 大阪專属 :@F73ok 東京分部 :@HKJP5🤩 #新宿酒店 #池袋酒店 #上野酒店 #新宿格拉斯麗酒店 #APA酒店 #新宿王子大飯店
Showing the 8 most recent of 8 posts we hold for @F73ok. 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 — 16,225 of 1,627,445entries 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
Names
Channels on the register whose handles appear in this channel's posts.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“七海・日本大阪出張店|外送茶・泡泡浴・上門服務・女優” (@F73ok), 1,851 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/F73ok.
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.