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Channel

東京/大阪🇯🇵汐音閣-SHIONE KAKU🌸

@jp88y

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

970subscribers

-69 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-1001882956079
TypeChannel
Username@jp88y
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live28 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/jp88y

Growth

9671,0391,0037 August 2026 — 1,039 subscribers8 August 2026 — 1,039 subscribers8 August 2026 — 1,038 subscribers11 August 2026 — 1,035 subscribers14 August 2026 — 1,031 subscribers20 August 2026 — 967 subscribers28 August 2026 — 970 subscribers9707 August 202628 August 2026
7 measurements spanning 21 days, net -69. 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 956–1,050 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 09:36970+3
20 Aug 2026, 19:45967-64
14 Aug 2026, 18:361,031-4
11 Aug 2026, 06:581,035-3
8 Aug 2026, 16:271,038-1
8 Aug 2026, 00:201,039no change
7 Aug 2026, 21:311,039first reading

Engagement

10 posts held, back to 30 July 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
10.5%
avg views ÷ 970 subscribers
Avg views / post
102
3 posts measured
Reaction rate
1.90%
reactions ÷ views · ER floor
Posts in window
3
of 10 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 3 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 5 August 2026
Posts held10 (30 July 20265 August 2026)
Views total307
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:20 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
26s
Average length
26s

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.

Reaction mix

6 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 3 of the 10 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 30 July 2026 to 5 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

4 Aug 2026, 07:13 UTC107 views2 reactionsread 8 August 2026
Video

🌸本日まだご案内可能です🌸 急なご利用も大歓迎😊✨ ✨「どの子がおすすめ?」 ✨「今から行ける?」 ✨「予算に合わせて紹介してほしい!」 👏そんなご相談も大歓迎です♪ 初めてのお客様も安心してご利用いただけるよう、丁寧にご案内いたします。 まずはお気軽にメッセージください😊 皆様からのお問い合わせをお待ちしております✨ 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 JP88y 📎Telegram 📱 @JP88yy

2

4 Aug 2026, 05:19 UTC104 views2 reactionsread 8 August 2026
Photo

#新人AV女優 🇯🇵 岡田優愛 可愛らしく親しみやすい雰囲気で、まるで自分だけの彼女のような特別な時間をお楽しみいただけます。 サービスは積極的で、キスを中心に距離を一気に縮めてくれるタイプ💋甘く優しい対応で、全身を包み込むような心地よいひとときをご提供いたします。 いわゆる風俗的な接客ではなく、彼女感を大切にしたナチュラルでリアルな体験を重視しております✨ ご予約・お問い合わせはこちら: Gleezy 🆔JP1020 ➡️ https://gleezy.net/JP88y Telegram 🆔 @JP88yy ➡️https://t.me/JP88yy 🏯大阪 ➡️ @JP66K8

2

30 Jul 2026, 14:02 UTC188 views2 reactionsread 8 August 2026
Photo

22歳・甘い雰囲気の大きな瞳のナース🤍 隠された魅力を持つギャップ系女子 ☆ギャップ系ナース☆ ⚡ 𝑻𝒊𝒆𝒓 💜 ⭐⭐ 📍 #東京出勤 番號 💓 322 年齢 💓 22歳 3サイズ💓 157cm・Dカップ・43kg ▪️清楚で可愛らしい雰囲気と、自然体の親しみやすさが魅力 ▪️小柄でバランスの良いスタイル、柔らかな女性らしい雰囲気が印象的な女性です✨ 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 @𝟐𝟎𝟑𝐲𝐬𝐢𝐬𝐮 📎Telegram 📱 @JP88yy 🪦 大阪出勤 🌟デリヘル入門ゼミ 🌟 www.tea166.com

2

30 Jul 2026, 13:59 UTC153 viewsread 8 August 2026
Photo

六本木有名企業💻 高級UIデザイナー ☆六本木デザイナー☆ ⚡ 𝑻𝒊𝒆𝒓 💚 ⭐⭐ 📍 #東京出勤 番號 💓 321 年齢 💓 26歳 3サイズ💓 164cm・Eカップ・48kg ▪️スタイルの良さが際立つ美しいシルエットと、上品な雰囲気が魅力 ▪️洗練された都会的な印象と、柔らかな女性らしさを兼ね備えた素敵な女性です✨ 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 @𝟐𝟎𝟑𝐲𝐬𝐢𝐬𝐮 📎Telegram 📱 @JP88yy 🪦 大阪出勤 🌟デリヘル入門ゼミ 🌟 www.tea166.com

30 Jul 2026, 13:58 UTC117 viewsread 8 August 2026
Photo

💼 オフィス系・大人の魅力を感じるスタイル ☆上品なOL系☆ ⚡ 𝑻𝒊𝒆𝒓 💜 ⭐⭐ 📍 #東京出勤 番號 💓 320 年齢 💓 31歳 3サイズ💓 168cm・Eカップ・49kg ▪️30代ならではの落ち着いた魅力と、親しみやすく優しい性格が魅力 ▪️大人の余裕を感じさせる雰囲気と、上品で女性らしいスタイルが印象的な女性です✨ 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 @𝟐𝟎𝟑𝐲𝐬𝐢𝐬𝐮 📎Telegram 📱 @JP88yy 🪦 大阪出勤 🌟デリヘル入門ゼミ 🌟 www.tea166.com

30 Jul 2026, 13:56 UTC107 viewsread 8 August 2026
Photo

黒髪ロングの文系後輩系女子 🎨 ☆現役JD☆ ⚡ 𝑻𝒊𝒆𝒓 💙 ⭐⭐ 📍 #東京出勤 番號 💓 319 年齢 💓 20歳 3サイズ💓 157cm・Cカップ・43kg ▪️清楚で可愛らしい雰囲気と、自然体の明るさが魅力の女の子 ▪️優しく親しみやすい性格で、初対面でも心地よい時間を過ごせる存在です✨ 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 @𝟐𝟎𝟑𝐲𝐬𝐢𝐬𝐮 📎Telegram 📱 @JP88yy 🪦 大阪出勤 🌟デリヘル入門ゼミ 🌟 www.tea166.com

30 Jul 2026, 13:55 UTC103 viewsread 8 August 2026
Photo

精緻系🎀ネイルアシスタント ☆ネイルアシスタント☆ ⚡ 𝑻𝒊𝒆𝒓 💜 ⭐⭐ 📍 #東京出勤 番號 💓 318 年齢 💓 22歳 3サイズ💓 160cm・Dカップ・44kg ▪️物静かで落ち着いた雰囲気を持ちながら、親しくなると可愛らしい一面を見せてくれる魅力的な女性です。 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 @𝟐𝟎𝟑𝐲𝐬𝐢𝐬𝐮 📎Telegram 📱 @JP88yy 🪦 大阪出勤 🌟デリヘル入門ゼミ 🌟 www.tea166.com

30 Jul 2026, 13:54 UTC119 viewsread 8 August 2026
Photo

直行便ヘリコプタークラブ🎀高級感漂うクールビューティー ☆グランドスタッフ☆ ⚡ 𝑻𝒊𝒆𝒓 💚 ⭐⭐ 📍 #東京出勤 番號 💓 317 年齢 💓 22歳 3サイズ💓 165cm・Eカップ・45kg ▪️プライベートではとても親しみやすく、会話も楽しめる気さくな性格 ▪️清楚なルックスと魅力的な鎖骨、美しいスタイルバランスで思わず目を奪われる存在 🎀予約・問合せはこちら🎀 📎 Gleezy ⭐ JP1020 📎 LINE 🌐 @𝟐𝟎𝟑𝐲𝐬𝐢𝐬𝐮 📎Telegram 📱 @JP88yy 🪦 大阪出勤 🌟デリヘル入門ゼミ 🌟 www.tea166.com

Showing the 10 most recent of 10 posts we hold for @jp88y. 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 — 34,215 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

Named by 5 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.

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

“東京/大阪🇯🇵汐音閣-SHIONE KAKU🌸” (@jp88y), 970 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/jp88y.

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.