Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7148586107
❤1👍1

Channel
@tjxczyb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
62,111subscribers
+7,493 since we began measuring on 14 September 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002155257235 |
|---|---|
| Type | Channel |
| Username | @tjxczyb |
| Description | 群组: @tjxcyjs 报告: @njxcbg 管理: @klqian |
| Created | Between 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 September 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/tjxczyb |
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 4 October 2026 and assigned it the closest of 31 fixed categories, at 88% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 16:47 | 62,111 | -100 |
| 7 Nov 2026, 11:07 | 62,211 | -56 |
| 6 Nov 2026, 14:19 | 62,267 | +96 |
| 5 Nov 2026, 13:00 | 62,171 | +143 |
| 4 Nov 2026, 10:31 | 62,028 | -167 |
| 3 Nov 2026, 12:59 | 62,195 | +125 |
| 2 Nov 2026, 11:36 | 62,070 | +96 |
| 1 Nov 2026, 10:07 | 61,974 | +7 |
| 31 Oct 2026, 08:18 | 61,967 | +119 |
| 30 Oct 2026, 09:45 | 61,848 | +64 |
| 29 Oct 2026, 12:59 | 61,784 | +83 |
| 28 Oct 2026, 08:46 | 61,701 | +147 |
| 27 Oct 2026, 11:14 | 61,554 | +87 |
| 26 Oct 2026, 07:46 | 61,467 | +175 |
| 25 Oct 2026, 10:06 | 61,292 | +161 |
| 24 Oct 2026, 07:31 | 61,131 | +430 |
| 23 Oct 2026, 04:37 | 60,701 | +175 |
| 22 Oct 2026, 03:27 | 60,526 | +322 |
| 20 Oct 2026, 21:36 | 60,204 | +194 |
| 19 Oct 2026, 19:47 | 60,010 | first reading |
22 posts held, back to 4 April 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 115 pages of Telegram’s post history, 20 posts per page.
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 4 November 2026 |
|---|---|
| Posts held | 22 (4 April 2026 – 4 November 2026) |
| Views total | 16,293 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Nov 2026, 01:32 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.
Lifetime counters from Telegram’s own channel header, read 10 November 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.
Measured directly from 8 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.
21 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 66.7% | |
| ❤🔥 | 2 | 9.52% | |
| 💔 | 2 | 9.52% | |
| 🍌 | 1 | 4.76% | |
| 👍 | 1 | 4.76% | |
| 👏 | 1 | 4.76% |
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 18 of the 22 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 4 April 2026 to 4 November 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.
Telegram’s own ‘edited’ marker: 1 of 7 posts held from the last 30 days (14.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7148586107
❤1👍1
🙁⚡⚡⚡⚡⚡⚡ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 🫥🫥🫥🫥🫥🫥🫥🫥 🫥🫥🫥🫥🫥🫥🫥🫥 🫥🫥🫥🫥🫥🫥🫥🫥 😀😀🔤🔤🔤🔤🔤🔤🔤🔤🔤 🫥新人注册赠送18.88U 🫥首存重磅迎新豪礼来袭! 🫥首次充值最高可领取16666U 🫥二存三存豪礼加赠,狂送福利不断 🫥层层加码福利不断,热门优惠应有尽有,让您的资金翻倍起飞 😏😍😀😊😅😏 🙈😏😝😄😃😃 充值即送、投注即返、天天有礼、日日狂欢! 😕🫥🫥🫥@YZGJKF 😕🫥🫥🫥@YZGJCJ 😕🫥🫥🫥@YZGJZS 😕🫥🫥🫥 YZ1111.VIP ⚡⚡⚡⚡⚡⚡⚡⚡⚡
❤🔥1
南京全区 #建业 #😎😎后 高端😁🔤全裸SPA会所🛀 营业时间:11:30➖06:00 电报价格¥😉🤩8️⃣➖😇😁🤩 丝袜制服+❤❤后+全裸真空😉🔤SPA 🐻胸推🐬臀推👋手推🦶足推 大学生兼职+女友体验+姐妹花服务 1️⃣主打😎😎后高颜值,全场出勤6-10位 2️⃣主打海选➕真人真空 3️⃣服务内容:不划水不偷时间 开背+指划➕鼻吸➕过水➕胸划 漫游➕毒龙➕捞月➕腿漫➕🐻推出水➕足交出水➕降落+躺抱出水➕怀抱出水。等等十八项 可亲可 摸可柔不穿内裤可摸女孩嫩逼不玩套路 出勤🤩😎+颜值为主 服务为辅 优于市场精选只做精品 免费提供各种丝袜,任撕。还可换各种服饰满足您一切需求!联系客服安排、无推销无隐形消费 以下联系备注电报 电话:17361970111(同微) 📱QQ: 3850086215 📱电报: @njdoudou94 频道https://t.me/minuoquannanjispa 双向:
❤1
#扫街 #城中村 #探店 #嫖娼 南京小巷子扫街,按摩店高颜值大奶性感技师200的快餐爱情
❤1
南京丝足 足控 恋足 SM 基地 艺术学院兼职 大长腿美女 创新创意丝足养身之道, 网红 高颜值MM阵容,服务于颜值并存 有颜有料,玩的就是激情与刺激,玩的就是与众不同,告别传统玩法,释放解压。 详细介绍: A 【众享SPA套餐】 原价550预约价450 (40分钟) 丝袜可约定-丝袜可选,丝袜高跟鞋 诱惑+可精油SPA+美腿踩背+嗅丝-M腿丝wa跳逗-品丝恋足-足戏蛇胶-可摸可撕袜+柔式按摩 (40分钟) 。 B 【君享SPA套餐】 原价700预约价600(60分钟) 包含A项目+升级多种服装丝袜可选.高跟可选,视觉触觉嗅觉盛宴+柔情助浴+站立式带领互动+足指都带美甲哦+柔情相伴+花式互动足J-背部丝足松体 (60分钟) C 【独家创意】 原价900 预约价800(80分钟) 可选:女私教蜜桃臀瑜伽裤里丝丝…
❤2
http://t.me/jisou?start=a_6544690283
🍌1
#南京全区 #鼓楼区 #栖霞区,仙林大学城仙鹤门新天地广场 spa高端真🈳半裸丝足会所 电报价格¥499 丝袜制服+00后+免费过夜+大型停车场+角色扮演+手足🐻🐻+大学生兼职+女友体验+姐妹花服务 活动:双飞价格799 到店报预约报销40车费 1️⃣主打00后高颜值,全场出勤7-10位 2️⃣主打海选+真人真空+ 3️⃣服务内容:不划水不偷时间 开背+指划+鼻吸+过水+胸划 漫游+毒龙+捞月+腿漫+🐻推出水+足交出水+降落+躺抱出水+怀抱出水。等等十八项 🥰📱 🈺🈺:11:30-03:00 电话:18106693221 电报: @gg25011 QQ:3899025589 微信:18106693221 每日更新✈️群:https://t.me/yunshangspa 群内每日更新新人相册
💔1
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7148586107
❤🔥1
📱南京 #浦口 📱老师 #哆哆 95 98 💸学费 500 700PP 💸学费 800 1500PP 年龄:26 身高:159 体重:90 胸围: 38D 内容⬇️ #陪浴 #背部按摩 #指划 #无套口 #丝袜 #制服 #舌吻 🚀私信 @HHA1122338
❤1💔1
🚨💎西西里私影女仆恋爱馆💎🚨 √安全私密 √服务第一 √卫生健康 √尺度拉满 √私人定制 √情绪价值 💕南京栖霞区高端私密恋爱女仆体验馆,豪华独立观影大包,干净整洁。店内都是18-21岁花季女大MM,可以伸进去摸🐻亲🐻,🐍吻,探索黑森林,极致销魂的体验,重温触电恋爱般的感觉~💃💃 💕【热恋体验】 价格:698/h(💗券后498)--SSS级💖💖💖 服务内容:妹妹热情奔放,法式🐍吻,真空亲摸🐻,互吻🐻的小红豆,隔着内裤轻抚MM黑森林,私处奶头喂食,骑乘式磨豆腐,解锁轻微字母圈,感受小M配合带来的惊险刺激~ 💗【花园秘境】💖💖💖💖 价格:798/h(💗卷后598)~SSSS级 服务内容:涵盖之前项目内容,解锁可不隔内内轻抚黑森林,肌肤奶油喂食,MM隔着👖轻抚🐉筋,然后用丝足轻触🐉筋,隔着👖体验丝足轻触摩擦🐉筋带来的丝滑感受~ ⭐️【惊险跳🥚出街】💖💖💖💖💖 价格:1098/h(💗卷后898)--SSSSS级 服务内容:…
❤1
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7148586107
👏1
大量收购极搜收录群,想换点钱花的联系大圣: @fjhzdas
❤1
Showing the 12 most recent of 22 posts we hold for @tjxczyb. 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.
@tjxczyb edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
We recorded 1 post on @tjxczyb as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“南京老友汇推荐官” (@tjxczyb), 62,111 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/tjxczyb.
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.