📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#阿茶 🌐#河西区 📞:点击获取阿茶联系方式 🤖:双向联系老师 🏷:#御姐 #7p #13pp #六九 #浅吻 #水中萧 #胸推 #臀推 #制服丝袜 #陪浴 工兵报告:报告1 报告2 🐺狼友印象: 📑查看报告 | 🐺添加印象

Channel
天津认证老师榜
@tianjinbang
On this record: Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
12,912subscribers
+1,498 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001449342431 |
|---|---|
| Type | Channel |
| Username | @tianjinbang |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/tianjinbang |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 02:03 | 12,912 | +57 |
| 2 Sept 2026, 01:53 | 12,855 | +20 |
| 1 Sept 2026, 03:58 | 12,835 | +41 |
| 31 Aug 2026, 05:25 | 12,794 | +27 |
| 30 Aug 2026, 08:34 | 12,767 | +52 |
| 29 Aug 2026, 11:08 | 12,715 | +60 |
| 28 Aug 2026, 13:33 | 12,655 | +157 |
| 27 Aug 2026, 15:45 | 12,498 | +64 |
| 26 Aug 2026, 17:15 | 12,434 | +66 |
| 25 Aug 2026, 16:43 | 12,368 | +57 |
| 24 Aug 2026, 14:06 | 12,311 | +374 |
| 23 Aug 2026, 00:03 | 11,937 | +45 |
| 21 Aug 2026, 11:28 | 11,892 | +61 |
| 20 Aug 2026, 10:05 | 11,831 | +61 |
| 19 Aug 2026, 13:15 | 11,770 | +91 |
| 18 Aug 2026, 11:34 | 11,679 | +101 |
| 17 Aug 2026, 10:06 | 11,578 | +85 |
| 15 Aug 2026, 18:15 | 11,493 | +39 |
| 14 Aug 2026, 04:07 | 11,454 | +40 |
| 12 Aug 2026, 23:00 | 11,414 | first reading |
Engagement
44 posts held, back to 11 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.52%
- avg views ÷ 12,912 subscribers
- Avg views / post
- 971
- 44 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 44
- of 44 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 2 September 2026 |
|---|---|
| Posts held | 44 (11 August 2026 – 2 September 2026) |
| Views total | 42,705 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:53 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 31s
- Average length
- 8s
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
📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#航航 🌐#河东区 📞:点击获取航航联系方式 🤖:双向联系老师 🏷:#嫩妹 #8p #15pp #水中萧 #舌吻 #指划 #制服丝袜 #陪浴 工兵报告:报告1 报告2 🐺狼友印象: 📑查看报告 | 🐺添加印象
🌏 华北地区/东北地区 天津 太原 石家庄 哈尔滨 大连 🌏 华中地区 郑州 南阳 新乡 武汉 武汉2 襄阳 长沙 衡阳 常德 🌏 华东地区 济南 济南2 临沂 枣庄泰安济宁 聊城 南京 苏州 淮安 南通 盐城 宿迁 扬州泰州镇江 徐州 连云港 无锡 常州 合肥 皖南 阜阳亳州 宿州淮北 蚌埠淮南 上海 杭州 宁波 湖州 嘉兴 绍兴 南昌 赣州 景德镇 福建 🌏 华南地区 广州 佛山 东莞 珠海 惠州 江门 中山 韶关 河源 南宁 柳州 海口 三亚 琼海 儋州 潮州揭阳 🌏 西南地区/西北地区 西安 兰州 重庆 成都 贵阳 遵义 昆明
📊 11份报告,综合评分9.04 好评 100% |人照8.82 |气质8.82 中评 0% |舒适9.23 |态度9.23 差评 0% |身材8.91 |服务9.2 👧#饼饼 🌐#南开区 📞:点击获取饼饼联系方式 🤖:双向联系老师 🏷:#御姐 #9p #16pp #舌吻 #六九 #按摩 #鸳鸯浴 #制服诱惑 【工兵报告】 https://t.me/tianjinguinanbaogao/457 https://t.me/tianjinguinanbaogao/476 🐺狼友印象: 📑查看报告 | 🐺添加印象
📝点击下方按钮快速跳转
📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#尚馨 🌐#河东区 📞:点击获取尚馨联系方式 🤖:双向联系老师 🏷:#嫩妹 #6p #11pp #六九 #舌吻 #制服丝袜 #陪浴 【工兵报告】 工兵报告1 工兵报告2 🐺狼友印象: 📑查看报告 | 🐺添加印象
📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#白兰花 🌐#南开区 📞:点击获取白兰花联系方式 🤖:双向联系老师 🏷:#少妇 #8p #15pp #六九 #毒龙 #水中萧 #制服丝袜 #陪浴 【工兵报告】 工兵报告1 🐺狼友印象: 📑查看报告 | 🐺添加印象
📊 1份报告,综合评分9.08 好评 100% |人照8 |气质9 中评 0% |舒适9.5 |态度9.5 差评 0% |身材9 |服务9.5 👧#车厘子 🌐#河东区 📞:点击获取车厘子联系方式 🤖:双向联系老师 🏷:#少妇 #6p #12pp #六九 #毒龙 #胸推 #指划 #漫游 #深喉 #制服丝袜 #陪浴 【工兵报告】 工兵报告1 工兵报告2 🐺狼友印象: 📑查看报告 | 🐺添加印象
📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#小情人 🌐#河西区 📞:点击获取小情人联系方式 🤖:双向联系老师 🏷:#嫩妹 #8p #15pp #六九 #无套口 #制服丝袜 #陪浴 【工兵报告】 https://t.me/tianjinguinanbaogao/916 🐺狼友印象: 📑查看报告 | 🐺添加印象
📝点击下方按钮快速跳转
📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#蔻儿 🌐#河西区 📞:点击获取蔻儿联系方式 🤖:双向联系老师 🏷:#少妇 #6p #12pp #六九 #胸推 #指划 #水中萧 #制服丝袜 #陪浴 【工兵报告】 https://t.me/tianjinguinanbaogao/905 🐺狼友印象: 📑查看报告 | 🐺添加印象
📊 0份报告,综合评分 好评 0% |人照 |气质 中评 0% |舒适 |态度 差评 0% |身材 |服务 👧#小迪 🌐#南开区 📞:点击获取小迪联系方式 🤖:双向联系老师 🏷:#嫩妹 #8p #15pp #六九 #舌吻 #胸推 #指划 #制服丝袜 #陪浴 【工兵报告】 https://t.me/tianjinguinanbaogao/903 https://t.me/tianjinguinanbaogao/915 🐺狼友印象: 📑查看报告 | 🐺添加印象
Showing the 12 most recent of 44 posts we hold for @tianjinbang. 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
@tianjinbang 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
- 19 August 2026
- Most recent edit
- 27 August 2026
Citation-graph rank
Citation-graph rank — 453,895 of 1,629,808 entries 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.
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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“天津认证老师榜” (@tianjinbang), 12,912 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/tianjinbang.
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.