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Channel
Good Time睇圖谷😎
@GoodTimePhoto
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
9,480subscribers
+256 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 | -1001456263189 |
|---|---|
| Type | Channel |
| Username | @GoodTimePhoto |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/GoodTimePhoto |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 90% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 05:56 | 9,480 | +43 |
| 17 Sept 2026, 23:56 | 9,437 | +13 |
| 14 Sept 2026, 04:16 | 9,424 | +25 |
| 10 Sept 2026, 04:00 | 9,399 | +62 |
| 5 Sept 2026, 02:15 | 9,337 | +6 |
| 1 Sept 2026, 05:08 | 9,331 | +8 |
| 29 Aug 2026, 14:56 | 9,323 | +19 |
| 26 Aug 2026, 16:03 | 9,304 | +8 |
| 24 Aug 2026, 02:25 | 9,296 | +19 |
| 20 Aug 2026, 20:43 | 9,277 | +10 |
| 17 Aug 2026, 11:34 | 9,267 | +10 |
| 14 Aug 2026, 01:07 | 9,257 | +18 |
| 10 Aug 2026, 17:57 | 9,239 | +13 |
| 7 Aug 2026, 20:03 | 9,226 | +2 |
| 7 Aug 2026, 04:30 | 9,224 | no change |
| 7 Aug 2026, 04:28 | 9,224 | first reading |
Engagement
256 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 34 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.90%
- avg views ÷ 9,480 subscribers
- Avg views / post
- 275
- 11 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 11
- of 256 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 29 August 2026 |
|---|---|
| Posts held | 256 (7 August 2026 – 29 August 2026) |
| Views total | 3,021 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 07:51 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
- 2m 35s
- Average length
- 9s
Measured directly from 18 videos 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
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新人純陀地 20歲 #meow #天然美乳 #靚女😍 #走肥 #聽話 #長腿 今日休😘😘😘
靚女😍韓國美女feel #小魚 #靚幼細粒可愛 #天然面孔 #服務好 #靚女😍 #聽話任舞 #推薦超級女友feel #靈魂車🚗 #小魚 16:00後可以約😘😘😘
全新新人靚女 #克拉拉 #靚女 #女朋友feel #靈魂車 #走肥 #聽話任舞 #超好傾 #推薦必試 #真人相 #克拉拉 17:00後可以約😘😘😘
新人 #白雪 #天然美乳 #補鈣首選 #胸奴 #服務好 #回頭客多多 #真人相 #痴女 #GFF #推薦 #白雪 16:00後可以約 😘😘😘
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童顏巨乳18歲 #曼琳 #大乳 #補鈣首選 #胸奴首選 #高挑 #靚幼童顏巨乳 #推薦必試 #真人相 #曼琳 16:00🉑以約😘😘😘
🆕💖靚女😍韓國美女feel #小魚 #靚幼細粒可愛 #天然面孔 #服務好 #靚女😍 #聽話任舞 #推薦超級女友feel #靈魂車🚗 158cm 34B 44kg 性格開朗零破冰🫶 擁有S型身材👍 白滑嘅肌膚 超級滑任舞💋 配合度高🫵🏻 溫柔體貼 超級好評推薦必試 前後陪🛁 深喉✅ 水中蕭✅♻️👄✅ 波推✅💥👄✅ 💦🍌✅ 👅✅ 大🚌✅ 69✅ 絲襪制服✅ 家用:11魚 預約號: @GoodTime_Spa 睇圖號: @GoodTimePhoto
🆕💖靚幼 #小雨 #補鈣首選 #18歲幼幼 #鄰家女孩 #清靚白淨 #真人相 #堅挺靚波 #粉紅色鮑魚 #GFF #上下粉嫩 #推薦 164cm 34C真波 45kg 幼幼靚女皮膚滑 😍 性格開朗零破冰🫶 真人相頭有驚喜👍 pink pink無比粉嫩😊 嬌小玲瓏😋廟細燈籠大😉 M腿鵝脾配合高🦵🏻 精英騎師高技術 吹功強勁停不住 強勁嘅吹功配合超凡騎術,邊個受得住😝再嚟個深喉,一個唔留神,小心爆吖😱 前後陪🛁 波推✅ ♻️💋✅ 💥👄✅ 💦🍌✅ 大車🚗✅ 絲襪制服✅ 家用:12魚 預約號: @GoodTime_Spa 睇圖號: @GoodTimePhoto
🆕💖童顏巨乳18歲 #曼琳 #大乳 #補鈣首選 #胸奴首選 #高挑 #靚幼童顏巨乳 #推薦必試 #真人相 166cm 34D+😍真波 47kg 波洶胸湧情似水 翹臀巨乳好揸手 巨乳夾腸水乳溝溶 走肥大波皮膚白嫩 前後陪🛁 ♻️✅ 食🍌✅ 波推✅ 大🚌✅ 6⃣9⃣✅ 口爆✅ 絲襪制服✅ 雙乳夾腸✅ 吹功勁超級配合 家用:12魚 預約號: @GoodTime_Spa 睇圖號: @GoodTimePhoto
🆕💖靚女😍韓國美女feel #小魚 #靚幼細粒可愛 #天然面孔 #服務好 #靚女😍 #聽話任舞 #推薦超級女友feel #靈魂車🚗 158cm 34B 44kg 性格開朗零破冰🫶 擁有S型身材👍 白滑嘅肌膚 超級滑任舞💋 配合度高🫵🏻 溫柔體貼 超級好評推薦必試 前後陪🛁 深喉✅ 水中蕭✅♻️👄✅ 波推✅💥👄✅ 💦🍌✅ 👅✅ 大🚌✅ 69✅ 絲襪制服✅ 家用:11魚 預約號: @GoodTime_Spa 睇圖號: @GoodTimePhoto
Showing the 12 most recent of 256 posts we hold for @GoodTimePhoto. 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
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.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“Good Time睇圖谷😎” (@GoodTimePhoto), 9,480 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/GoodTimePhoto.
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.