Channel
@Japan8e
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,569subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002350444992 |
|---|---|
| Type | Channel |
| Username | @Japan8e |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/Japan8e |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 18:03 | 1,569 | +1 |
| 17 Aug 2026, 17:46 | 1,568 | +5 |
| 14 Aug 2026, 16:25 | 1,563 | -3 |
| 11 Aug 2026, 07:07 | 1,566 | -4 |
| 8 Aug 2026, 06:44 | 1,570 | -1 |
| 7 Aug 2026, 21:18 | 1,571 | no change |
| 7 Aug 2026, 15:55 | 1,571 | first reading |
7 posts held, back to 5 June 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 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 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 August 2026 |
|---|---|
| Posts held | 7 (5 June 2026 – 2 August 2026) |
| Views total | 1,514 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 21:18 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.
14 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 78.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 78.6% | |
| 🤣 | 3 | 21.4% |
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 5 of the 7 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 5 June 2026 to 2 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.
🏃♂️【 豪乳包裹的野性 】🏃♂️ ━━━━━━ 🤪━━━━━━ 🥰 名前： 花宮 (24) 🥛 スペック： 168cm / Eカップ 🥊 福利： 預約現折 6000 🥊 職業： 不動產仲介 ━━━━━━ 🤪 ━━━━━━ 🗝「這對沉重的巨乳正叫囂著空虛，快用你的熱情將它們徹底填滿。」 👉 私信預約 📱 TG: @Japan8n 🫶🫶 👉 私信預約 ⭐️Gleezy: Japan8n 💌 中文版出勤班表 💌日語版出勤班表 ✍️ 客評分享區 🇯🇵 日本动漫里番🔞 ⭐️: 完整版出勤表 / 出勤表の完全版 🍀 #日本外約 #東京大阪上門服務 #東京泡泡浴 #大阪外送茶 #東京外約 #日本歌舞伎町 #日本旅遊 #大阪デリヘル #出張サービス #日本叫小姐 #大阪东京旅
Signed 奈奈東京大阪出張外約
🏃♂️【 溫潤如玉的墮落 】🏃♂️ ━━━━━━ 💎 ━━━━━━ 🥰 名前： 牧野 (24) 🥰 スペック： 164cm / Fカップ 🥰 福利： 預約現折 6000 🐶 職業： 牙科顧問 ━━━━━━ 💎 ━━━━━━ ✨「在優雅的甜笑背後，藏著只為你綻放、最放蕩不羈的靈魂。」 👉 私信預約 📱 TG: @Japan8n 🫶🫶 👉 私信預約 ⭐️Gleezy: Japan8n 💌 中文版出勤班表 💌日語版出勤班表 ✍️ 客評分享區 🇯🇵 日本动漫里番🔞 ⭐️: 完整版出勤表 / 出勤表の完全版 🍀 #日本外約 #東京大阪上門服務 #東京泡泡浴 #大阪外送茶 #東京外約 #日本歌舞伎町 #日本旅遊 #大阪デリヘル #出張サービス #日本叫小姐 #大阪东京旅
Signed 奈奈東京大阪出張外約
✨【 純白下的豐盈慾望 】✨ ━━━━━━ 💕 ━━━━━━ 💕 名前： 姫川 (24) 💖 スペック： 163cm / Eカップ 🤪 福利： 預約現折 6000 🥰 職業： 醫美顧問 ━━━━━━ 💕 ━━━━━━ 🗝「看似高冷的精緻外表下，藏著只想為你濕透的火熱靈魂。」 👉 私信預約 📱 TG: @Japan8n 🫶🫶 👉 私信預約 ⭐️Gleezy: Japan8n 💌 中文版出勤班表 💌日語版出勤班表 ✍️ 客評分享區 🇯🇵 日本动漫里番🔞 ⭐️: 完整版出勤表 / 出勤表の完全版 🍀 #日本外約 #東京大阪上門服務 #東京泡泡浴 #大阪外送茶 #東京外約 #日本歌舞伎町 #日本旅遊 #大阪デリヘル #出張サービス #日本叫小姐 #大阪东京旅
Signed 奈奈東京大阪出張外約
來啦 來啦 奈奈一直都在
🤣3
Signed 奈奈東京大阪出張外約
真的很漂亮 可惜錢不夠加節了 😭😭 不過沒關係 下次再來約 ❤️ 👉 私信預約 📱 TG: @Japan8n 🫶🫶 👉 私信預約 ⭐️Gleezy: Japan8n
❤6
Signed 奈奈東京大阪出張外約
一直在 一直在 需要密我 TG： @Japan8n 🫶🫶
❤4
Signed 奈奈東京大阪出張外約 💖 Gleezy：Japan8n
🧩🧩奈奈日本東京大阪出張🇯🇵🧩🧩 👍 國籍：#日本大阪 🇯🇵 👅 名字：菜穗 なお 🕯 資訊：162m / 48kg /E杯 / 23歲 💰 價位：40000 ❤️ 介紹：氣質與性感兼具，懂得慢慢引導床上節奏。貼近時低語誘惑，眼神挑逗每個感官，前戲細膩、互動黏人，沉浸在專屬日系美女的親密空間。 約會方式：（外送住家🏠、酒店🏨） 👉 私信預約 📱 TG: @Japan8n 🫶🫶 👉 私信預約 ⭐️Gleezy: Japan8n 💌 中文版出勤班表 💌日語版出勤班表 ✍️ 客評分享區 🇯🇵 日本动漫里番🔞 ⭐️: 完整版出勤表 / 出勤表の完全版 🍀 #日本外約 #東京大阪上門服務 #東京泡泡浴 #大阪外送茶 #東京外約 #日本歌舞伎町 #日本旅遊 #大阪デリヘル #出張サービス #日本叫小姐 #大阪东京旅游
❤1
Signed 奈奈~~~~+頼 wet58
Showing the 7 most recent of 7 posts we hold for @Japan8e. 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 — 103,153 of 1,584,733entries 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.
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.
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.
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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“🇯🇵東京大阪風俗店カスタムショップ派遣” (@Japan8e), 1,569 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/Japan8e.
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.