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Telegram profile photo for 🇯🇵日本风俗情报|日本叫小姐|东京外送茶

Channel

🇯🇵日本风俗情报|日本叫小姐|东京外送茶

@Japan5656

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

595subscribers

+1 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-1002462626655
TypeChannel
Username@Japan5656
Created23 October 2024measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged2 times, most recently 21 August 2026
On Telegramt.me/Japan5656

Growth

5935955947 August 2026 — 594 subscribers8 August 2026 — 594 subscribers8 August 2026 — 593 subscribers15 August 2026 — 595 subscribers7 August 202615 August 2026
4 measurements spanning 7 days, net +1. 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 593–595 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 03:17595+2
8 Aug 2026, 18:04593-1
8 Aug 2026, 03:17594no change
7 Aug 2026, 21:30594first reading

Engagement

3 posts held, back to 23 October 2024the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 3 posts for this entry, the most recent from 4 June 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

70 reactions across 2 posts, in 3 distinct kinds. The most used accounts for 44.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3144.3%
2637.1%
🔥1318.6%

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 2 of the 3 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 70reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 3 most recent posts we hold, published 23 October 2024 to 4 June 2025, 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 Jun 2025, 08:38 UTC≈2,150 views7 reactionsread 8 August 2026
Forwarded from @Yukina60Photo

📣 Gleezy 群組專區開放囉! 歡迎加入 Yukina 的專屬群組 🌏 提供中文/日文/英文版本,方便你快速找到喜歡的服務! ✅ 下載 Gleezy App ✅ 搜尋 Yukina ID:yu1769 加好友 ✅ 或私訊 Yukina 直接拉你進入群組 也可以直接掃QR碼加入群組唷‼️

7

12 Dec 2024, 17:39 UTC≈4,160 views63 reactionsread 8 August 2026
Photo

【日本風俗業・本番デリバリーヘルス】流程如下 與Yukina溝通,預約您心儀的女生,確定時間和地點,可以是住家或旅館。告訴Yukina房號,在房間等待,女生就會如約而至。如果對女生感到滿意,請給現金(日圓),她們就會提供服務 僅限住家或旅館約會。 ⏰ 服務時間:全年無休,提供服務的時間為中午13點至凌晨2點。 ☎️ 服務地區:東京 🏠 約會地點:自宅、飯店 🌈 東京到府地區: 新宿區、大久保 、池袋區、千代田、港區、江東區、目黒區、品川區、台東區、墨田區、荒川區、中央區 🌈 大阪到府地區: 都島区、城東区、東成区、生野区、阿倍野区、西成区、大正区、港区、此花区、福島区、北区、西区、中央区、浪速区、天王寺区、東淀川区、淀川区、西淀川区、住之江区、住吉区、東住吉区、平野区、鶴見区、旭区 🚘 各地區交通費有所不同 (交通費2000~8000日圓) 😊費用說明: 外送茶的最低消費 普通妹妹30000起 中等妹妹50

👍3119🔥13

Showing the 3 most recent of 3 posts we hold for @Japan5656. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“🇯🇵日本风俗情报|日本叫小姐|东京外送茶” (@Japan5656), 595 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Japan5656.

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.