艺名:#小熊 联系:@xiaoxiongnew 价格:#800p 1500pp 地址:#栖霞 标签:#御姐 #颜值系 #艳舞 #腿玩年 #早课老师 群聊: @Quartetchat 大长腿东北御姐,6号开课,可提前预约 🔣点击查询 开课老师🔣 报告: 报告1 报告2 报告3 报告4 测评5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13 报告14 报告15 报告16 报告17 报告18 报告19 报告20

Channel
南京四方茶话会认证频道
@QuartetSelect
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
26,853subscribers
+7,833 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003462308701 |
|---|---|
| Type | Channel |
| Username | @QuartetSelect |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/QuartetSelect |
Topic
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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 |
|---|---|---|
| 19 Sept 2026, 12:57 | 26,853 | +581 |
| 17 Sept 2026, 03:55 | 26,272 | +254 |
| 15 Sept 2026, 05:56 | 26,018 | +73 |
| 13 Sept 2026, 17:41 | 25,945 | +387 |
| 11 Sept 2026, 23:38 | 25,558 | +1,186 |
| 9 Sept 2026, 16:58 | 24,372 | +520 |
| 6 Sept 2026, 07:41 | 23,852 | +162 |
| 3 Sept 2026, 22:18 | 23,690 | +168 |
| 2 Sept 2026, 12:17 | 23,522 | -77 |
| 1 Sept 2026, 11:26 | 23,599 | +139 |
| 31 Aug 2026, 11:57 | 23,460 | +417 |
| 30 Aug 2026, 09:05 | 23,043 | +613 |
| 29 Aug 2026, 10:37 | 22,430 | +212 |
| 28 Aug 2026, 11:35 | 22,218 | +263 |
| 27 Aug 2026, 14:05 | 21,955 | +409 |
| 26 Aug 2026, 11:38 | 21,546 | +497 |
| 25 Aug 2026, 09:56 | 21,049 | +236 |
| 24 Aug 2026, 11:58 | 20,813 | +538 |
| 22 Aug 2026, 16:23 | 20,275 | +412 |
| 21 Aug 2026, 09:57 | 19,863 | first reading |
Engagement
15 posts held, back to 8 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 10 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.53%
- avg views ÷ 26,853 subscribers
- Avg views / post
- 1,220
- 4 posts measured
- Reaction rate
- 0.092%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 15 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 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 15 (8 August 2026 – 3 September 2026) |
| Views total | 4,867 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 08:44 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
- 1m 16s
- Average length
- 11s
Measured directly from 7 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.
Reaction mix
19 reactions across 11 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 100.0% |
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 12 of the 15 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 8 August 2026 to 3 September 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
艺名:#书禾 联系:@shuhe99 价格:#800p 1300pp 地址:#江宁 标签:#嫩M #舌吻 #学生妹 群聊:@Quartetchat 🔣点击查询 开课老师🔣 报告:
❤1
艺名:#宋亚兰 联系:@songyalan 价格:#800p 1500pp 地址:#江宁 标签:#嫩M #少御 #舌吻 #六九 群聊:@Quartetchat 🔣点击查询 开课老师🔣 报告: 报告1
❤2
艺名:#星糯 联系:@xingnuo00 价格:#800p 1300pp 地址:#鼓楼 标签:#御姐 #六九 群聊:@Quartetchat 颜值系御姐 🔣点击查询 开课老师🔣 报告: 报告1
❤1
🎰 四方茶话会七夕抽奖 📮 参与条件 🎫 加入-南京四方茶话会 🎫 加入-南京四方茶话会认证频道 🎫 加入-南京四方茶话会商家频道 🎫 加入-胡桃ovo 🎫 加入-婉婉专属小窝 🎫 加入-江宁 盈儿小屋 🎫 加入-小六通知群📢 🎫 加入-粥粥个人频道 🎁 奖品名单 💰️ 胡桃的七夕心意:400元优惠券 × 1 💰️ 宁婉婉的七夕馈赠:500元优惠券 × 1 💰️ 盈儿 × 小六的双倍心动:600元双飞优惠券 × 1 💰️ 粥粥的爱心限定:七夕包时券 · 仅需 1314元 × 1 💰️ 星巴克的星意相赠:52元星点卡 × 2 💰️ 好利来的甜蜜礼遇:200元礼品卡 × 2 💰️ 四方茶话会的心动彩蛋:520元现金红包 × 1 📜 抽奖说明 优惠券自开奖之日起 7天内有效。 如遇老师暂未开课,则自老师恢复开课之日起计算,一周内均可使用。 包时券、双飞券请以老师现有课表及课程安排为准,请尊重老师的课程规则,中奖福利不支持临时更改…
❤1
艺名:#小小羊 联系:@XiaoxiaoYnj 价格:#1200p 2400pp 地址:#江宁 标签:#嫩M #甜妹 #大蟒蛇 #共浴 群聊:@Quartetchat 颜值嫩M 🔣点击查询 开课老师🔣 报告: 报告1 报告2
❤4
艺名:#小宝 联系:@xb5206677 价格:#700p 1400pp 地址:#雨花台 标签:#嫩M #甜妹 群聊:@Quartetchat 回归开课 🔣点击查询 开课老师🔣 报告:报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12
艺名:#麦芽糖 联系:@maiyatangya 价格:#600p 1200pp 地址:#建邺 标签:#嫩M #舌吻 群聊: @Quartetchat 🔣点击查询 开课老师🔣 报告: 报告1 报告2 报告3 报告4 报告5
❤1
艺名:#盐盐 联系:@yanyannj 价格:#1200p 2400pp 地址:#江宁 标签:#御姐 #舌吻 #六九 #水中萧 #支教老师 #短开老师 群聊:@Quartetchat 颜值御姐,doi感满分 🔣点击查询 开课老师🔣 报告:报告1 报告2 测评3 报告4 报告5 报告6 报告7 报告8
艺名:#倩倩 联系:@qianqian02023 价格:#2000P 3500pp 地址:#建邺 标签::#御姐 #舌吻 #六九 #情绪价值 群聊:@Quartetchat 🔣点击查询 开课老师🔣 报告: 8.12开课、可提前预约
❤2
艺名:#苏念 联系:@sunian888fffj 价格:#1200P 2000pp 地址:#江宁 标签::#御姐 #欲骚 #情绪价值 #舌吻 #六九 群聊:@Quartetchat 性感冷艳御姐,情绪价值拉满 🔣点击查询 开课老师🔣 报告: 测评1 报告2 报告3 报告4 报告5 报告6
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❤1
Showing the 12 most recent of 15 posts we hold for @QuartetSelect. 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
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.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“南京四方茶话会认证频道” (@QuartetSelect), 26,853 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/QuartetSelect.
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.