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Channel

天津故事会

@tianjingushi

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Cite this entry

22,918subscribers

-5,956 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002995840079
TypeChannel
Username@tianjingushi
Description聊天群 https://t.me/+YxaThtt1P804Mzg0 上榜合作私信 @tianjingushibot 神女集 https://t.me/tianjinshennvji001
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/tianjingushi

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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.

Growth

21,88532,52427,204.522,9187 August 20268 November 2026
63 measurements spanning 93 days, net -5,956. 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 20,289–34,120 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
8 Nov 2026, 10:5922,918+168
7 Nov 2026, 06:3522,750-4
6 Nov 2026, 07:1922,754+222
5 Nov 2026, 06:2022,532+230
4 Nov 2026, 04:3022,302+129
3 Nov 2026, 07:1522,173+70
2 Nov 2026, 10:3522,103+122
1 Nov 2026, 12:2921,981+33
31 Oct 2026, 15:1021,948+63
30 Oct 2026, 17:5921,885-5,572
29 Oct 2026, 21:0927,457-3,015
28 Oct 2026, 18:4830,472-1,246
27 Oct 2026, 17:2031,718+160
26 Oct 2026, 19:4131,558+1
25 Oct 2026, 23:0831,557+29
24 Oct 2026, 21:1531,528-642
23 Oct 2026, 17:5732,170-354
22 Oct 2026, 16:3132,524+99
21 Oct 2026, 13:0132,425+660
20 Oct 2026, 12:0931,765first reading

Engagement

77 posts held, back to 28 July 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 157 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.5%
avg views ÷ 22,918 subscribers
Avg views / post
6,540
21 posts measured
Reaction rate
0.331%
reactions ÷ views · ER floor
Posts in window
21
of 77 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held77 (28 July 2026 – 7 November 2026)
Views total137,250
Reactions total454
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 14:46 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
433
Videos
147
Links
191

Lifetime counters from Telegram’s own channel header, read 8 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.

Video runtime
6m 11s
Average length
12s

Measured directly from 30 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

1,403 reactions across 73 posts, in 17 distinct kinds. The most used accounts for 70.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤98270.0%
🤣18913.5%
👏745.27%
👍634.49%
👎433.06%
💩130.927%
😍130.927%
😱80.57%
😁50.356%
🎉30.214%
🤩30.214%
🙈20.143%
🔥10.071%
😭10.071%
🤡10.071%
🤮10.071%
🥰10.071%

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 76 of the 77 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 1,403 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 77 most recent posts we hold, published 28 July 2026 to 7 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 21 posts held from the last 30 days (9.52%) 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).

7 Nov 2026, 08:24 UTC≈2,730 views25 reactionsread 8 November 2026
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#拉完了 #卷发老大妈 #腐尸木乃伊 【艺名】#酥沫 【人照】4 【水费】800p 【联系方式】@sumo0015 【体验回忆】教室在南开聚集地,电梯需要刷卡,不按电梯只能爬楼。教室环境十分一般,屋子乱的很。 大妈河北人,人照脸还是能看出来是一个人的。但是一头自来卷的头发,非常非常非常的乱,像个鸡窝一样。见面第一眼我就想跑路,看着跟三十多的一样,但还是来都来了。身高大概170,体重120左右,胸C奈子不小很软。下面毛多蝴蝶逼,巨他妈几把黑。皮肤巨垃圾,大妈纹身就不少,皮肤还黄还划手。 逼逼完了去洗澡,倒是有陪浴,但是很敷衍,基本上就是糊弄。洗完上三点口,舔胸很垃圾,而且时间特别短,两边加一起大概30秒。口的倒是还行挺深的,但是时间巨短也就一分钟左右。口完带套传教腿一张一动不动,你以为我说她想腐尸是夸张是比喻吗?nonono这是形容,肚子一大片疤起码五六个,像烂肉缝起来的那种给我恶心完了,加上她一动不动真像个死尸一样…

🤣14❤9😱2

6 Nov 2026, 06:39 UTC≈3,490 views23 reactionsread 8 November 2026
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#涵涵 #机车逼 #狼友投稿 第一次出击涵涵,还是下雨去的,绝对是诚心的。进门先要水费,然后让我洗澡,一点多余的话都懒得说,出来帮我擦了下后背,还是我问的她一次性浴巾在哪,也不主动提供。 然后床上也不铺个一次性床单,我问她,说没有。上床开始口,口了20s,刚要硬,然后结束了亲我🐻,问她能🐍吗,不能只能亲(那你服务表里就别写)好吧,胸呢,也只能亲不能舔,本来正常的,瞬间没情绪了,软了,试着插入,插不进去(她也一点水没有),我就用手摸我自己舌头口水碰了下她b,想润一下,结果立刻说不行,脏,给我弄懵了,我赶紧说不好意思。 然后试着换了2个姿势,已经软了进不去了,让我自己撸试试,也不提再给我口口,我实在没感觉了,然后我去洗澡了,洗澡之后自己撸了撸也没兴致了,一看就别做了,问她能退一半钱吗,不能,人家说软是我的问题,不是老师的问题不退钱,还说别人pp,第二炮硬不起来也不退的,关键我是没p呢都。 全程啥服务没有,我要是真有…

👏12❤11

6 Nov 2026, 05:50 UTC≈3,320 views3 reactionsread 8 November 2026
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润和养生水磨拉丝会馆 🥰平台长期合作内容属实,留一份真诚将心比心,都是精品店,注重客户评价 😍客户实战报告点击可以查看 😎😎🥰🥰🥰🥰🥰🥰🥰🥰😎😎 🥰不是个人楼凤,区域安全有保证,培训之后验收上岗,定期安排检查身体 🥰无强制消费,透明无套路,不满意可中途换人重新起钟。 🀄️可双飞,有特色双人项目 😠🤯😆🤨🧐😱🫢😤😱🔥 📱📱📱可做项目点击文字查看导航 制服诱惑 丝足助浴 角色扮演 仙指丝滑 水乳胸推 性爱瑜伽 冰火之吻 全身漫游 后庭互动 阴阳小周天 等可选项目 培训特色十二项绝技请通过客服咨询。 (备注:项目可做水磨拉丝。有情趣制服,渔网丝袜面具,各类道具可选) 客服号 : @runhespa 双向限制:@runhespabot 频道: https://t.me/ronghespa 😎 支付方式:现金 支付宝 微信 花呗 信用卡 等可提供发票。

❤3

5 Nov 2026, 15:13 UTC≈3,920 views25 reactionsread 8 November 2026
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【艺名】#缌缌 【人照】9 【水费】800p 【联系方式】@qpshui 【体验回忆】 非聚集地,老师亲自到小区门口接,初见妹妹很萌很可爱,讲话萌妹音,无方言口音。圆圆的鹅蛋脸,妆容相当精致,直发齐腰,白色毛衣+牛仔裤勾勒玲珑身材,身高不到160比我矮了一头。跟着妹妹一起买饮料买水果,提着一起进小区上楼,就像和女友刚逛菜市场回家一样,生活感满满。 工作室是个现代极简的复式,收拾的干净利索,看的出妹妹很是讲究卫生。换鞋上楼,对坐畅谈。妹妹一课80分钟,时间很是充裕,而且妹妹非常喜欢聊天,属于慢热型选手,熟络起来更能进入状态,妹妹由内而外散发着可爱,让人心生怜惜;聊着聊着不自觉搂着妹妹,她也把头靠在肩上,很有女友感。随后开始陪浴,妹妹还是很害羞的,脱衣服去卫生间都挡着胸,洗澡时能看出妹妹身材玲珑有致,胸B一点不垂,乳头乳晕都小小一点,很是粉嫩。腰身纤细,小腹平坦无赘肉,屁股饱满有肉,腿不算长但也够笔直。皮肤光滑细腻…

❤25

4 Nov 2026, 17:14 UTC≈4,640 views50 reactionsread 8 November 2026
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#涨价逼 #派小星 #老师生图 武汉600p📤天津700p 武汉1000pp📤天津1400pp 最后再附上派小星生图❤️ 图片出处雷探长探雷日记 天津故事 🗣 第一咨询 ✅ 🔜 关注天津👁‍🗨 故事会 🔜 讲述老百姓自己的故事 🥃 闲聊扯蛋👁‍🗨 茶水间 故事会赞助商🏡商家贴 故事会车库神女集 投稿 📥 @tianjingushibot 杂谈篇返回导航

🤣35❤10👍4🤮1

4 Nov 2026, 06:29 UTC≈4,220 views21 reactionsread 7 November 2026
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#NPC #小矮个有点村 【艺名】#派小星 【人照】8 【水费】700p 【联系方式】@xx520b 【体验回忆】教室在南开的一个公寓,在商场里面,电梯需要刷卡,听她指挥上楼。教室环境一般,屋子有些乱,去的时候床上还有别人留下的精子,给我恶心完了。 妹子湖南的,说话辣条音有点粗,人照差不太多没有照片那么白,没有那么精致,脸没有那么尖那么瘦,长得有点村。个子大概155,体重80多,胸B+奶子不小很软,身材不错不看脸的话挺好看的,下面蝴蝶逼毛有点多黢黑黢黑的,屁眼子也黢黑黢黑的。纹身不少肚子上还有人名,可能是她男朋友,皮肤正常黄皮。 陪浴有点垃圾,基本就是洗下小🐔子,再洗洗胸就完了,水中萧也没有,这狗逼还给我漏项。洗完自己擦干,上床三点口,舔胸舔的不错,舌头上下舔,也会吸奶头。口活一般吃的不是很深,时间大概也就一分多钟很短,给人的感觉就是很圆滑,能偷懒就偷懒。 口完带套传教,逼还是挺紧的,床感还可以,反馈很足。边…

❤21

3 Nov 2026, 00:22 UTC≈4,320 views21 reactionsread 6 November 2026
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#杂谈 #教师美照 露姐你让我感到陌生,有这好东西不给兄弟们看是吧😀

😍13❤5🤩3

2 Nov 2026, 01:59 UTC≈5,440 views23 reactionsread 6 November 2026
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#NPC #微胖小黄毛 【艺名】#小秋秋 【人照】8 【水费】600p 【联系方式】小秋秋 【体验回忆】教室在河西聚集地,电梯需要刷卡,上楼有点麻烦。公寓环境一般,不过东西还是挺齐全的,一次浴巾和漱口水都有。 妹子湖南人,人照还行吧,黄毛小嫩妹,就是没有照片那么白,普通人颜值,笑起来挺可爱的,说话也很好听挺好玩。身高大概160,体重110,胸A,下面毛有点多蝴蝶逼也有点黑。身材有点难绷,奶子没有肚子大。 扯完犊子去洗澡,陪浴中规中矩洗三点,洗完会给你擦两下。上床三点口,舔胸像小狗喝水一样上下来回舔,舔胸是真的舒服。口的就一般了,比较浅时间也不是很长。69反馈一般,只有请哼,兴致全无。 带套开大,先是传教插,中途亲了两口,到了兴致不给舌是真的操蛋。累了换她女上,女上体力一般,动了一会就又累了。最后换我后入,操逼反馈还行吧,哼哼唧唧的小音也挺好听,但是没有骚话,具体看最后一个视频。 总结:微胖黄毛小嫩妹,普通人…

❤23

30 Oct 2026, 04:49 UTC≈7,290 views30 reactionsread 5 November 2026
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#NPC #雪宝宝 #中介逼 #水多小胃袋 【艺名】#雪宝宝 【人照】2 【水费】800p 【联系方式】雪宝宝 【体验回忆】人在河西老破小,电梯不用刷卡,听她指挥上楼。环境较为一般,而且没有一次性浴巾和漱口水,配套较为简陋。 妹子东北人口音略重,年龄25左右,人照不一致,第三张照片才像她,就普通人颜值。身高大概163,体重115左右,小肚子是真不小,往床上一趴比胸还突出。胸B软软的奶头小小的,下面人工白虎,粉粉的她频道有照片。皮肤挺白的,右臂是条花臂,别的地方好像没有纹身了。 陪浴洗的一般般,只洗小鸡鸡,也没有浴巾只能拿卫生纸擦了。上床三点口,舔的挺舒服的,口活也还可以就是吃的有点浅。69的话她在上面她不太会,只能你在她上面舔,舔逼过于敏感了,舔的直蹦高,而且都是水舔到嘴里有点恶心。 口完带套插入,传教边舌边操,舌吻管够就是舌头伸出来的不是很多,中规中矩吧。传教操的嗷嗷叫,反馈非常足,也会说骚话具体看最后一个…

❤21🤣6👏3

27 Oct 2026, 01:12 UTC≈8,810 views38 reactionsread 4 November 2026
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#NPC #萌兔 #小胃袋大象腿 #中介逼 【艺名】#萌兔 【人照】6 【水费】700p 【联系方式】萌兔 【体验回忆】教室在河西一个普通公寓,环境很一般,屋子乱的很。电梯要梯控,按电梯上楼。 妹子湖南人,看第一张照片被骗过去,进了房间大失所望。人照差的也太多了,小短腿小胃袋味真足。身高160,体重大概120,胸B,下面毛多黢黑黢黑的蝴蝶逼。纹身只有右边小臂有一处,皮肤还是挺白的,像个大白馒头。 聊了两句去洗澡,陪浴洗的很仔细,毕竟要入口,食品安全这一块。洗完先舌两口,舌头伸出来的不多,但是舌吻管够。上床三点口,舔的很不错,从胸慢慢往下面舔,口的也很用心,深喉算是个残次品吧,感觉不是很深就受不了了。舔到一半69,转过来一看这大粗腿是真粗,爬床上肚子比奶子还突出。看着这大黑逼,我实在不想舔,毛又多又黑,算了都要求了还是舔吧,舔逼的反馈还不错,挺敏感的。 舔完带套女上,逼是挺紧的,好像胖的逼都挺紧,女上很卖力,深…

❤30🤣8

23 Oct 2026, 06:48 UTC≈9,570 views15 reactionsread 4 November 2026
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📱📱📱📱📱📱 😀天津😶‍🌫️😡😡实体店会所 每天在岗😉🙃☺️😉😘 现场海选😂 原价:🥳😮😮 👉新店限时优惠:🤬🫢🫢 服务时间😀😀分钟不限出水次数 🤗🥵服务:😀手推 足推 🉑➕😀😀: 📱手推 胸推 丝推 足推 臀推 📱📱📱📱📱📱📱📱📱📱📱📱📱📱📱📱📱📱 正宗莞式海选·😀真实T台走秀 🤴主打高颜值·😀技师严格把关 质量高 服务好 😀新人不断 选择性多 🧭营业时间12:00——3:00 📱📱📱📱📱📱📱📱📱 😂主打高颜值⏺嫩妹多😂 服务内容:📱 玉指漫游⭐️窃窃私语⭐️制服诱惑 玉足诱感⭐️嫩足滑身⭐️玉足挑运 鼻息指滑❤️蜻蜓点冰❤️间香品足 胸滑全身❤️果冻毒龙❤️猴子偷桃 舌尖滑动❤️蚂蚁上树❤️过水漫游 臀部调情❤️丝袜腿交❤️波涛汹涌 鼻吸娇喘❤️双奶夹龙❤️高山流水 😎提供款式丝袜可手撕 😎独立独…

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Showing the 12 most recent of 77 posts we hold for @tianjingushi. 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.

Posts edited after publishing

@tianjingushi edited 2 posts 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.

First edit seen
24 August 2026
Most recent edit
10 October 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @tianjingushi 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.

First seen missing
21 August 2026
Most recent seen missing
23 October 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
4

Polls

The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

16 Oct 2026, 13:39 UTCAnonymous Poll399 voters

下期看谁

  1. 小野33%
  2. 沐甜21%
  3. 小粥25%
  4. 韩月10%
  5. 小星12%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

26 Sept 2026, 06:31 UTCAnonymous Poll1,450 voters approx.

能无套的老师写不写进测评里

  1. 写88%
  2. 不写12%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

11 Aug 2026, 17:42 UTCAnonymous Poll715 voters

让楠茜把舌吻加回来再抽两张半价,帖子删除

  1. 同意我原谅她了25%
  2. 不同意涨价逼不能接受75%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 77 most recent posts we hold, published 28 July 2026 to 7 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 9 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.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“天津故事会” (@tianjingushi), 22,918 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/tianjingushi.

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.