Channel
@tianjinpd
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,534subscribers
+64 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002175503010 |
|---|---|
| Type | Channel |
| Username | @tianjinpd |
| Description | 认证联系： @TShengdi_bot 天津交流群： @tianjinjlq 🎫个人/中介/会所/外围 认证中心 只做最真实的娱乐资源，真实即可认证 认证通过即可公示！ |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/tianjinpd |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 02:36 | 15,534 | +26 |
| 12 Aug 2026, 23:03 | 15,508 | +18 |
| 11 Aug 2026, 20:18 | 15,490 | +20 |
| 11 Aug 2026, 17:45 | 15,470 | no change |
| 11 Aug 2026, 17:31 | 15,470 | first reading |
4 posts held, back to 21 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 5 pagesof 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 6 August 2026 |
|---|---|
| Posts held | 4 (21 July 2026 – 6 August 2026) |
| Views total | 4,120 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 17:37 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 14 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.
Measured directly from 2 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.
12 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 41.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 41.7% | |
| 🔥 | 4 | 33.3% | |
| 🥰 | 2 | 16.7% | |
| 👍 | 1 | 8.33% |
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 4 of the 4 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 21 July 2026 to 6 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.
【验证时间】：8.2 【验证留名】：亚湖哥 【妹子花名】：#莉莉 【所在位置】：#天津 #河西 【修车水费】：600P 【照片相似】：9.5 【颜值身材】：清纯可爱型，身材好 【凶器罩杯】：B+ 【服务项目】：课表都有的 【服务详情】：周日闲来无事打开电报，刚好刷到了莉莉老师。看到照片就非常的喜欢了。约了一课。准时到达，进了房间，身体的香味扑面而来，见到了真人也没有让我失望，人照起码9-10分像，没有像那种照骗骗人，老师非常的活泼，莉莉老师看起来真是真的嫩。之后一起洗澡后躺好，开始服务，还不错，没有齿感，服务也细致，我就很冲动了，随后戴套，莉莉老师还是很细心，女上开局，包裹感还是有的，随后翻身给老师拉个枕头垫屁股下面，拉着老师小手持续输出，叫声好听不假，水多很滑，老师到没到高潮我不知道，出来玩我爽就行了，猛艹就行了，出货后，洗澡，不得不说，是真的嫩呀，老师颜值很不错。本人比照片好看。全程不冷场，情绪价值拉满，服务也算过关。声音…
🔥1
#天津 #包养 清纯款甜妹，月1.5w起 欣欣 客服：@Baoyxin 双向客服：@Baoyxin_bot 欣欣包养频道：@Xinyangai66
❤1🔥1🥰1
【老 师 艺 名】#莉莉 【所 在 位 置】#天津 #河西 【茶 位】#6P #12PP 【服 务 类 型】#胸推 #深喉 #舌吻 【联 系 方 式】@lili2593 【老 师 频 道】@lili9329 【双向机器人】@lili2839bot 备注: #个人老师 报告一
❤2🔥1🥰1
‹ 😃😃 😀😃 📱📱 📱📱 › 😎 爱之狐高端私密会所 😎 🫥高端会所 🫥私密会所 🫥情景定制 🀄服务项目 🀄 😂莞式十八式激情服务😂 🔴鸳鸯戏水🔴泡沫风情🔴风情按摩 🟢指尖漫游🟢波涛汹涌🟢臀臀欲动 🔴蜻蜓点水🔴过水漫游🔴舌尖漫游 🟢花式毒龙🟢海底捞月🟢跪式吹箫 ➡主题角色扮演道具服装 ➡翻云覆雨配合多种姿势 🔥依您的喜好和需求为您做专属的私人定制，满足男性所有不同需求! 🔥每个项目都有小剧情，有开头、高潮、结尾、余温。等专属场景！ 🔥环境私密舒适 ,绝对给您带来飞一般的体验! 💎不收定金 💎 靠谱预约 💎到店消费 ✔ 保护隐私—安全放心✔ 🥰🥰🥰🥰🥰🥰🥰🥰 ☹ 各个spa私密服务会所打造的高端特色服务项目不同。具体以会所前台获取的服务流程为准！ 位置：咨询客服发送 #天津 …
❤2👍1🔥1
Showing the 4 most recent of 4 posts we hold for @tianjinpd. 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 — 1,338,112 of 1,340,412entries 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“天津【认证榜】” (@tianjinpd), 15,534 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tianjinpd.
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.