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Channel

🗌Tokyo & Osaka出匵店酒店䞊門|デリヘル·倖送|成人暗黑旅遊泡泡济

@chichi669

On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

4,355subscribers

+13 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002307476671
TypeChannel
Username@chichi669
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/chichi669

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

4,3424,3554,348.57 August 2026 — 4,342 subscribers7 August 2026 — 4,342 subscribers8 August 2026 — 4,345 subscribers11 August 2026 — 4,355 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net +13. 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 4,340–4,357 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 12:224,355+10
8 Aug 2026, 10:534,345+3
7 Aug 2026, 20:454,342no change
7 Aug 2026, 20:354,342first reading

Engagement

20 posts held, back to 5 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 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.96%
avg views ÷ 4,355 subscribers
Avg views / post
85.2
20 posts measured
Reaction rate
0.654%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 20 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 held20 (5 August 2026 – 8 August 2026)
Views total1,703
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:19 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 20 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 20 most recent posts we hold, published 5 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, 11:52 UTC46 viewsread 8 August 2026
Forwarded from @high267Photo

静銙をしばらく芳察しおいたした。 静銙は信甚できるず思い、今回の䌑みに盎接予玄したした。 昚日プレむした埌、「たた䌚いたい」ず蚀っおくれたした😍 䞀回で垞連になる、たさにこのこずですね 笑 圓店では同じ女の子を再予玄する堎合、远加の本指名料はかかりたせんよ〜 【枩銚提醒】 連䌑䞭はホテルが満宀になりやすいです。 特にラブホテルは郚屋が取りにくいので、早めの出発をおすすめしたす。 満宀でも他のホテルを探す時間はありたす。

8 Aug 2026, 05:55 UTC66 viewsread 8 August 2026

初めおの方必芋よくあるご質問FAQ https://t.me/high267/4933

8 Aug 2026, 04:57 UTC61 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8084—ダむダモンド💎」 ● 169/H/24æ­³/50kg ● タグ#東京 /モデル スタヌ顔、䜓は眪深すぎる。Hカップのボリュヌム感は服でも隠しきれず、歩くだけで振り返られる。近くで芋るず息が止たるほど。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

8 Aug 2026, 04:57 UTC49 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8083—ダむダモンド💎」 ● 11侇/60分 2時間目半額 ● 169/F/24æ­³/49kg ● タグ#倧阪 /元CA 高い矎脚、豊満なバスト、気品満点。軜く抱きしめるだけで胞の重みを感じられ、顔を近づければ圌女の銙りが挂っおくる。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

8 Aug 2026, 04:57 UTC36 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8082—プラチナ💠」 ● 148/B/19æ­³/40kg ● タグ#東京 /珟圹女子倧生 顔も䜓も小さく、アむドルグルヌプから出おきた隠しメンバヌみたい。制服を着るず幌く芋え、若い目元にはただ少し照れがある。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

8 Aug 2026, 04:57 UTC31 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8081—クリスタル🔮」 ● 160/B/21æ­³/40kg ● タグ#倧阪 /OL新人 芋た目は隣の女の子そのもの。女の子を䞞ごず腕の䞭に包み蟌みたい人にぎったり。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

7 Aug 2026, 13:52 UTC103 viewsread 8 August 2026
Forwarded from @high267Photo

最近ちょっずした発芋があっお 私のお客様がだんだん 「お客様が友達を連れおきお、その友達がたた友達を連れおくる」 みたいな感じになっおきたんです😂 本圓に嬉しいのは人数が増えたこずじゃなくお、 「静銙に任せお倧䞈倫」っおいう信頌感なんです🥹 自分の倧切な友達を玹介しおくれるっおこずは、 やっぱり「安心」ず「品質」があるからこそ 静銙を応揎しおくれる皆さん、本圓にありがずうございたす❀ 皆さんの玹介が、私にずっお䞀番の励みです。 これからも粟䞀杯、毎回のサヌビスを倧切にしおいきたすね〜

7 Aug 2026, 09:17 UTC94 viewsread 8 August 2026
Forwarded from @high267Photo

🔑 ホテルの゚レベヌタヌがカヌドキヌ必芁な堎合の埅ち合わせ方法 ① ホテルにチェックむンしたら 郚屋番号ずあなたの服装を教えおください。 ② 女の子が到着したら、すぐに静銙から連絡したす ・女の子の服装䟋黒いミニスカヌトロングヘア たたは ・車のナンバヌ䟋ホテル1階に停たっおいる「12-34 黒い車」 ③ その情報をもずに埅ち合わせ ・服装の堎合 → ホテル1階ロビヌたたは入口で埅っおください。 女の子があなたを芋぀けたら、近づいおきたす。 ・車のナンバヌの堎合 → ホテル近くで車を確認しおください。 芋぀けたら軜く手を振っおください。 女の子があなたを確認したらすぐに降りお、䞀緒にホテルぞ向かいたす。 ④ 合流したら : そのたた郚屋に戻り、料金をお支払いください。 その埌はリラックスしお楜しい時間をお過ごしください🀭 ✔ 簡単にたずめるず あなた → 郚屋番号服装を教える ↓ 玄束の時間前 →


7 Aug 2026, 04:48 UTC84 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8074—プラチナ💠」 ● 9.4萬/120分鐘 ● 152/D/20æ­³/41kg ● タグ#倧阪 /ペットショップ店員 声も衚情も柔らかく、觊れ合うず自然ず守っおあげたくなる雰囲気。でも党然䜕も知らないわけではなく、合わせるべき時はちゃんず玠盎に応じおくれたす。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

7 Aug 2026, 04:48 UTC52 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8072—プラチナ💠」 ● 165/E/27æ­³/48kg ● タグ#倧阪 /ペガ講垫 ペガで鍛えられた䜓のラむンがずおも矎しい。すっきりしたシル゚ット、綺麗なり゚ストずヒップのバランス、そしお柔らかい身䜓。芋た目に色気がありながら枅朔感もある、高身長で運動矎人な䜓が奜きな人は芋逃せたせん 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

7 Aug 2026, 04:48 UTC67 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8073—氎晶🔮」 ● 160/G/42æ­³/48kg ● タグ#東京 /寂しがり屋の人劻 熟女の䜓はもう䜿い方を知っおいる。ただ芋せるだけじゃなく、自ら跚がり、締め付け、脚が震えるたで玩んでくれる。巚乳テクニックで、衝撃もありながらずおも䞊手に合わせおくれたす。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

7 Aug 2026, 04:48 UTC56 viewsread 8 August 2026
Forwarded from @high267Photo

「番号 8071—プラチナ💠」 ● 168/H/26æ­³/56kg ● タグ#東京 /医療矎容アドバむザヌ 若い小柄な可愛い系ではなく、脚が長くお胞が倧きく、枅朔感のある倧人の色気を持った女性。タむトなスカヌトを着るず特に絵になるスタむルで、服を脱いだ埌は䜓の䜿い方を心埗おいお、沌らせるのが䞊手です。 🊋🖀🊋🖀🧞🖀🊋🖀🊋 🌐 @qin670 🌐 yy7442 🌟Gleezy亀通費0円chi669 🌟公匏サむトwww.av669jp.com 🌟犏利グルヌプ c.gleezy.top/FaLECocZ

Showing the 12 most recent of 20 posts we hold for @chichi669. 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

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

“🗌Tokyo & Osaka出匵店酒店䞊門|デリヘル·倖送|成人暗黑旅遊泡泡济” (@chichi669), 4,355 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/chichi669.

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.