Telegram RegisterThe public register of Telegram

Channel

南京四方测评1.0

@Quartet_Reviews

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

11,755subscribers

-6 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-1003152715154
TypeChannel
Username@Quartet_Reviews
Description【四方测评】 @Quartet_Reviews 【认证榜单】 @QuartetSelect 【茶话会群聊】 @Quartetchat 【狼友报告】 @QuartetfriendReview
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live14 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Quartet_Reviews

Growth

11,75411,76411,75910 August 2026 — 11,761 subscribers10 August 2026 — 11,761 subscribers11 August 2026 — 11,764 subscribers12 August 2026 — 11,761 subscribers13 August 2026 — 11,754 subscribers14 August 2026 — 11,755 subscribers11,75510 August 202614 August 2026
6 measurements spanning 4 days, net -6. 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 11,753–11,766 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 11:1811,755+1
13 Aug 2026, 02:4511,754-7
12 Aug 2026, 00:0211,761-3
11 Aug 2026, 03:1611,764+3
10 Aug 2026, 06:3111,761no change
10 Aug 2026, 05:4611,761first reading

Engagement

14 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
35.7%
avg views ÷ 11,755 subscribers
Avg views / post
4,190
14 posts measured
Reaction rate
0.105%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 13 of 14 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 14 August 2026
Posts held14 (3 August 202614 August 2026)
Views total58,700
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 15:17 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

Photos
262
Videos
77
Links
116

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
5m 12s
Average length
1m 18s

Measured directly from 4 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

56 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 80.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4580.4%
🤡610.7%
👍58.93%

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 13 of the 14 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 56reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 3 August 2026 to 14 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

14 Aug 2026, 01:02 UTC≈1,250 views1 reactionsread 15 August 2026
Forwarded from @QuartetSelectPhoto

🎰 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

13 Aug 2026, 04:29 UTC≈2,450 views3 reactionsread 15 August 2026
Photo

其实阿紧是我的小号。 我一直在玩弄狼友的感情。

3

12 Aug 2026, 13:03 UTC≈3,040 views8 reactionsread 15 August 2026
Photo

N135 【妹子花名】:#盐盐 @yanyannj 【标签归类】:#1200p #颜值系 #身材系 #甜妹 #御姐 #网红脸 #大胸 #校花级 #水蛇腰 #蜜桃臀 #腿玩年 #大蟒蛇 #小穴美味 #极致紧润 #性技高超 #女桩机 #能说会道 #女友感 #深喉 【体验细节】:人照九成、166身高,D罩杯,小腿有个小海马纹身。抽电子烟无烟味、科室干净,进门一个颜值身材不错的御姐笑脸相迎,基本上主播水平,笑着迎接,很快就聊起来,情商很高,聊起刚来南京的客人和一些见闻,聊了一会双双脱衣洗澡,腿长腰细胸大。脂肪胸有点像米雪,很大很软很好rua。洗的时候会很耐心的帮你调整水温。自然而然的水中销,然后帮忙擦干以后,我直接大刺刺躺床上 ,妹子很自然的贴贴趴我身上,开始舔胸,然后问我要kiss kiss吗 我说好,本来以为很温柔;可没想到直接一个大蟒蛇塞进来,妹子舌吻的时候眉目含情,眼角弯弯。很有感觉,看着精致的脸直接更硬,吻了很久,一路开始口

8

12 Aug 2026, 06:28 UTC≈2,870 views0 reactionsread 15 August 2026
Photo

繁花渐盛,品质如故。 之前群里不少狼友跨省出击,杭州这边,我一直比较推荐繁花。不追求数量,更看重质量。 群里老师整体水准很高,筛选也一直比较克制。 这次繁花做了福利放送—— 600元代金券,每月发放6场以上。 在榜老师、商家、外围均可使用,并可与原有优惠券叠加。 规则简单,福利直接。 https://t.me/huolongguoBot?start=i-GfdvrO46haVkYTFl

11 Aug 2026, 00:46 UTC≈3,480 views12 reactionsread 15 August 2026

今年不会买任何情趣用品了,不会再买丝袜、眼罩、夹子、低温蜡烛、止咬器、口球、后塞、项圈、皮鞭、藤条、手脚束缚器什么乱七八糟的东西了。我要买五常大米、买花生油、买柴米油盐酱醋茶,我要转型做家庭主夫,我要做个笨男人,我要让我未来的爱人爱我,不仅是我会做饭知道她喜欢什么想要什么,我要让我成无人代替的有趣灵魂🥹🥹🥹

🤡6👍51

10 Aug 2026, 01:38 UTC≈4,010 views2 reactionsread 15 August 2026
Video

记得带耳机 我个人最喜欢粤语和四川话🤪

2

9 Aug 2026, 01:02 UTC≈4,820 views5 reactionsread 15 August 2026
Video

N134 【妹子花名】:#瑶瑶吃不饱 @yaoyaobb07 【标签归类】:#1000p #颜值系 #身材系 #甜妹 #嫩妹 #班花级 #巨乳 #大蟒蛇 #小穴美味 #极致紧润 #能说会道 #女友感 #豪华课室 【体验细节】:人照八五成、168身高,C罩杯,背部、锁骨处少量纹身。抽烟无烟味、科室干净豪华,无一次性床单,进门看到一个穿卡通短袖的小姑娘,感觉很青春,看我进来递上水,开始叽叽喳喳的聊天,充满青春活力,聊了一下她姐妹婉婉。然后给我拿水的时候,发现好多牛奶,和我说自己超喜欢喝牛奶balabalaba,总之是一个话痨,聊了一会,我说一起洗吧,然后看他短袖一脱大胸duang弹出来,陪洗的时候很认真,前后都搓到,帮我洗完,自己开始洗,我就用着沐浴乳狠狠揉捏大胸,牛牛在屁股上蹭啊蹭,闻着少女的体香,笑着和我说你好坏,然后洗完,我说会水中吗,指导了一下,很卖力,不喊停不停,蹲的都累了。然后一起去房间,起手先狠狠舌吻,没有婉婉那么侵

5

6 Aug 2026, 06:50 UTC≈5,480 views1 reactionsread 15 August 2026
Photo

都说床上功夫好的女人让人流连忘返,少女的青涩,御姐的风情,少妇的魅惑,跟着花哥品尝少妇御姐,这里有✈️平台的好评御姐少妇,也有打野的盲盒体验👍 👍人到中年就爱这一口 👍如果你是同好者 👍这个频道要关注 👍跟吃踩坑会赔付 👍下菜投诉必处理 👍点击进入频道⬅️一起沾花惹草👍

1

5 Aug 2026, 17:01 UTC≈5,240 viewsread 15 August 2026
Video

要知道男人系天生嘅小朋友 小朋友弱点会忽略另一半感受 要改正好简单我只系欠调教 经历得多反而可以令到爱意浓厚 送给w和🍮

5 Aug 2026, 02:01 UTC≈5,700 views4 reactionsread 15 August 2026
Photo

推荐一个值得关注的成都频道——「浦浦一刻」 经历了一次重建后,「浦浦一刻」 已正式回归。 此前因恶意举报导致频道受影响,如今已完成全面重建,目录导航与内容架构全部优化,检索更加方便,整体体验也比之前更完善。 同时,频道已对内容进行了调整,删除了部分敏感内容,以更加稳定、长期的方式持续更新优质内容。 如果你关注成都地区的信息,或者想找一个整理清晰、更新稳定的频道,不妨关注一下。 📍频道:https://t.me/cdcpupupupu 📍导航:https://t.me/cdcpupupupu/329 也祝 「浦浦一刻」 越办越好,欢迎大家前去支持。

4

5 Aug 2026, 02:01 UTC≈4,770 views0 reactionsread 15 August 2026
Photo

补充几个外地频道主,喜欢的可以自己查询下。也是之前发过的。再度做个整理。 成都 Doctor的诊断记录 上海 午夜熊の集合室 深圳 TT的嫩妹档案

4 Aug 2026, 01:06 UTC≈5,220 views8 reactionsread 15 August 2026
Photo

N133 【妹子花名】:#媛媛 (南京)@yuan0922y 【标签归类】:#1400p #身材系 #服务系 #御姐 #水蛇腰 #蜜桃臀 #舌吻 #口交达人 #女桩机 #能说会道 #深喉 #打野 #毒龙 【体验细节】:人照八五成、169身高,c罩杯(硬底座),裸露部位未见纹身。抽烟无烟味,科室干净。 进门简单寒暄了一下,得知老师是巡回老师,不知道能呆多久。先交水费,然后简单帮洗,帮擦,看着大屁股忍不住抽了一巴掌感觉有点小m的,先是北面,指滑全身,然后含水一口一口的舌滑,舔的很细致。然后开始毒龙。毒龙比较猛,连我这种不太喜欢做的都觉得舒适,舌头往里面使劲顶了应该有7次,然后跪着海底捞月,边口边用魅惑的眼神看着你,舌尖会一直来回的勾你的冠状沟,深喉以后继续口,差点口射,然后换正面,吸奶舔奶,舌吻要就有,同时亲胸的时候会一直用手抚摸牛牛,最后脸贴着牛牛开始一顿猛吃,不喊停不停。硬的不行了开凿,换上黑丝,传教起步,骚话不断,脚一直踩你

8

Showing the 12 most recent of 14 posts we hold for @Quartet_Reviews. 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

Citation-graph rank — 137,080 of 1,478,351entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 1 registered channel — 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“南京四方测评1.0” (@Quartet_Reviews), 11,755 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Quartet_Reviews.

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.