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Channel

南京【认证榜】

@nanjingpd

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

53,604subscribers

+10,116 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002261577813
TypeChannel
Username@nanjingpd
Description认证联系: @TShengdi_bot 南京交流群: @nanjingjlq 🎫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!
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live3 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/nanjingpd

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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

42,88354,00948,4468 August 2026 — 43,488 subscribers8 August 2026 — 43,153 subscribers9 August 2026 — 42,883 subscribers10 August 2026 — 42,924 subscribers11 August 2026 — 42,980 subscribers12 August 2026 — 43,058 subscribers14 August 2026 — 43,167 subscribers15 August 2026 — 43,324 subscribers16 August 2026 — 43,383 subscribers17 August 2026 — 43,432 subscribers18 August 2026 — 43,452 subscribers19 August 2026 — 43,508 subscribers20 August 2026 — 43,578 subscribers21 August 2026 — 43,665 subscribers23 August 2026 — 43,963 subscribers24 August 2026 — 43,860 subscribers25 August 2026 — 43,846 subscribers26 August 2026 — 43,907 subscribers27 August 2026 — 44,066 subscribers28 August 2026 — 44,125 subscribers29 August 2026 — 44,059 subscribers30 August 2026 — 44,224 subscribers31 August 2026 — 44,343 subscribers1 September 2026 — 44,451 subscribers2 September 2026 — 44,555 subscribers3 September 2026 — 44,615 subscribers6 September 2026 — 44,803 subscribers9 September 2026 — 45,224 subscribers12 September 2026 — 45,323 subscribers13 September 2026 — 45,428 subscribers15 September 2026 — 45,610 subscribers17 September 2026 — 45,871 subscribers26 September 2026 — 47,217 subscribers4 October 2026 — 48,793 subscribers9 October 2026 — 49,220 subscribers13 October 2026 — 50,019 subscribers14 October 2026 — 50,306 subscribers15 October 2026 — 50,404 subscribers16 October 2026 — 50,547 subscribers17 October 2026 — 50,763 subscribers18 October 2026 — 51,003 subscribers19 October 2026 — 51,304 subscribers20 October 2026 — 51,910 subscribers22 October 2026 — 52,599 subscribers23 October 2026 — 53,070 subscribers24 October 2026 — 53,388 subscribers25 October 2026 — 53,850 subscribers26 October 2026 — 53,993 subscribers27 October 2026 — 54,009 subscribers28 October 2026 — 53,686 subscribers29 October 2026 — 53,443 subscribers30 October 2026 — 53,206 subscribers31 October 2026 — 53,244 subscribers1 November 2026 — 53,308 subscribers2 November 2026 — 53,439 subscribers3 November 2026 — 53,604 subscribers53,6048 August 20263 November 2026
56 measurements spanning 87 days, net +10,116. 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 41,214–55,678 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
3 Nov 2026, 07:3153,604+165
2 Nov 2026, 10:4553,439+131
1 Nov 2026, 10:1553,308+64
31 Oct 2026, 10:4453,244+38
30 Oct 2026, 13:1653,206-237
29 Oct 2026, 11:5753,443-243
28 Oct 2026, 08:4653,686-323
27 Oct 2026, 07:1954,009+16
26 Oct 2026, 06:4653,993+143
25 Oct 2026, 07:1653,850+462
24 Oct 2026, 06:2853,388+318
23 Oct 2026, 05:1753,070+471
22 Oct 2026, 06:1452,599+689
20 Oct 2026, 23:1051,910+606
19 Oct 2026, 20:0651,304+301
18 Oct 2026, 17:0651,003+240
17 Oct 2026, 15:1650,763+216
16 Oct 2026, 18:0650,547+143
15 Oct 2026, 18:2950,404+98
14 Oct 2026, 15:1750,306first reading

Engagement

237 posts held, back to 7 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 175 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.18%
avg views ÷ 53,604 subscribers
Avg views / post
1,710
102 posts measured
Reaction rate
0.211%
reactions ÷ views · ER floor
Posts in window
104
of 237 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 99 of 102 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 3 November 2026
Posts held237 (7 August 2026 – 3 November 2026)
Views total174,123
Reactions total358
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 15:53 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

Photos
≈3,620
Videos
≈684
Links
≈268

Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
16m 48s
Average length
10s

Measured directly from 104 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

796 reactions across 216 posts, in 13 distinct kinds. The most used accounts for 44.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤35444.5%
🔥21527.0%
👍17421.9%
🥰202.51%
😁60.754%
👌50.628%
👎50.628%
🤮50.628%
🤷‍♀40.503%
👏30.377%
🤔20.251%
🤬20.251%
👻10.126%

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 220 of the 237 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 796 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 237 most recent posts we hold, published 7 August 2026 to 3 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

3 Nov 2026, 13:25 UTC287 views1 reactionsread 3 November 2026

出击报告:https://t.me/nanjingpd/7117 验证留名:三呆 上课时间:11/1 老师花名:#小芳 联系方式:@xiaofang22122 位置坐标:#秦淮 上课花费:600p 颜值身材:胸大,巨乳控闭眼入,一手抓不完。 服务内容:洗吹做 69式 胸推 出击体验:一进门就被妹妹身材惊艳到我,巨胸,喊了好多声哥哥, 真甜,此时早就立起了帐篷,赶紧付了水费。一起去浴室共浴,妹妹蹲下来帮我涂沐浴露,好温馨,太有感觉。回到床上,每一个部位都吻的很仔细,然后由浅入深舔我的蛋蛋和肉棒,妹妹得屁股简直是我最喜欢的,抱着妹妹的翘臀,鸡吧更硬了,差点让我直接射妹妹嘴里,果断喊停,戴上雨伞直接插入,妹妹的呻吟声让人受不了,撕烂老师的黑丝袜,进入妹妹小穴,水多穴紧,开始活塞运动,不停更换姿势,妹妹很配合,最后和妹妹一起在互相的呻吟声中高潮。。。太值了,真是好舒服,下次继续返! 优点缺点:声音好听 年轻嫩 小穴很紧 水多 推荐程度:…

🔥1

3 Nov 2026, 10:05 UTC383 views3 reactionsread 3 November 2026
Photo

【老 师 艺 名】#小萌萌 【所 在 位 置】#南京 #建业 【茶 位】#10P 【服 务 类 型】#全裸 #臀推 #丝足 【联 系 方 式】@tss20288 【老 师 频 道】@nqiqi688 【双向机器人】 备注: #个人老师 #视频认证

❤1👍1🔥1

3 Nov 2026, 06:37 UTC531 views4 reactionsread 3 November 2026
Photo

【老 师 艺 名】#小七 【所 在 位 置】#南京 #栖霞 【茶 位】#6P #12PP 【服 务 类 型】#全套 【联 系 方 式】@tuttw20 【老 师 频 道】@xiaoq269 【双向机器人】@tuttw20bot 备注: #个人老师

👍2❤1🔥1

3 Nov 2026, 06:26 UTC524 views4 reactionsread 3 November 2026
Photo

【老 师 艺 名】#晶晶 【所 在 位 置】#南京 #鼓楼 【茶 位】#6P #12PP 【服 务 类 型】#全套 【联 系 方 式】@zhaohuak3 【老 师 频 道】@meimm5 【双向机器人】@jinjinkh3bot 备注: #个人老师

❤2🔥1🥰1

3 Nov 2026, 05:57 UTC513 views3 reactionsread 3 November 2026
Photo

【老 师 艺 名】#小瑶 【所 在 位 置】#南京 #江宁 【茶 位】 #6P #11PP 【服 务 类 型】#陪浴 #调情 #69式 【联 系 方 式】@Axiaoyao07 【老 师 频 道】@Axiaoyao123 【双向机器人】@Axiaoyao520bot 备注: #个人老师 #视频认证

❤1👍1🔥1

3 Nov 2026, 02:30 UTC109 views2 reactionsread 3 November 2026
Photo

【老 师 艺 名】#洛洛 【所 在 位 置】#南京 【茶 位】#8P #15PP 【服 务 类 型】#陪浴 #胸推 #调情 【联 系 方 式】@pc0288 【老 师 频 道】@zzwm008 【双 向 联 系】@ls0288_bot 备注: #个人老师

❤2

2 Nov 2026, 04:50 UTC≈1,680 views7 reactionsread 3 November 2026
Photo

省份:#江苏 城市:#南京 年龄:21 身高: 163 体重: 50 罩杯: C 职业:幼师茶艺师 是否chu: 否 能否口:能 能否SM:能 能否无套(体检/试纸后):否 能否内🐍(体检/试纸后):否 能否过夜:能 能否同居:能 有没有纹身:无 可否飞外省:能 雷点(不接受):暴力 不尊重人 大姨妈日期:月底 每月陪伴天数:3 期望零花钱:3天1.2w 分几次支付零花钱:3 找金主的原因:缺钱 最早出发时间:随时 自我加分项:本人比照片好看 💖无整容纯天然 💙颜值身材控 完美身材比例 💖可纯欲可甜妹可气质可清纯 💛高素质 谈吐优雅 兴趣爱好广泛 💞情绪价值满满 性格温柔恋爱模式相处💞 茶艺老师🍵懂事可爱 有正经工作 无不良爱好 不抽烟不喝酒 无纹身 很温柔💋 听话 声音甜 情绪价值高 嘴巴甜 乖巧 初次⬇️🌊 介绍费:7888 大怪兽YPHA279 #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为…

❤5👍1🔥1

2 Nov 2026, 04:36 UTC≈1,610 views3 reactionsread 3 November 2026
Photo

【老 师 艺 名】#月月 【所 在 位 置】#南京 #浦口 【茶 位】#6P #11PP 【服 务 类 型】#全套 【联 系 方 式】@yueliang12123 【老 师 频 道】@wrteqw1 【双向机器人】@awrt2bot 备注: #个人老师 #视频认证

❤1👍1🔥1

2 Nov 2026, 04:32 UTC≈1,580 views4 reactionsread 3 November 2026
Photo

昵称:毛毛 地区:#江苏 城市:#南京(新疆人) 年龄:22 身高:164 体重:51 罩杯:c 星座:处女座 雷点(不能接受):黑胖矮 是否chu女:否 能否接受SM:否 能否接受无套:体检🉑 能否接受口:体检🉑 可同居:尽量不 可过夜:🉑 可陪伴天数: 可否其他城市:🉑 可否飞往外省:🉑 可否chu国:(哪一些国家)否 姨妈期:月初 接受到手多少:三天8K 妹子费用支付方式:(几次付款)2次 自我加分项:主动,提供情绪价值,性格好,会跳舞,可以cos ,会开车 介绍费:6888 #包养 发财-jay L 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 唯一包养客服 @Baoyxin 双向私聊限制 @Baoyxin_bot

❤2🔥1🥰1

1 Nov 2026, 11:59 UTC≈1,660 views4 reactionsread 2 November 2026
Photo

【老 师 艺 名】#小柔 【所 在 位 置】#南京 #建邺 【茶 位】#11P #15PP 【服 务 类 型】#全套 【联 系 方 式】@xiaorou88168 【老 师 频 道】@xiaorou8889 【双向机器人】@Youyouyy_bot 备注: #个人老师 #视频认证

❤2👍1🔥1

1 Nov 2026, 08:40 UTC≈1,680 views2 reactionsread 2 November 2026

【妹子花名】:老板娘 【妹子车牌】:@cdfslbn 【验证留名】: 广州吴彦祖 【验证时间】:10.31 【所在位置】:#栖霞区 【修车水费】:1500pp 【是否代聊】:自聊 【身高身材】:172,身材凹凸紧致,皮肤嫩滑 【妹子年龄】: 22岁 【颜值相似】:人照10分 【凶器罩杯】:D 【服务内容】:课表都有 【优点缺点】: 已经推给好兄弟了 【机车行为】:无 【性价比】:10分/ /满分10.0分 【推荐程度】:10分/满分10.0分 【个人发挥】:第一次约老板娘老师,人比照片好看耐看,是我喜欢的样子,身材很好,一进门,温柔老师好热情。热聊绝对不冷场,宾至如归的感觉。老师胸胸非常好看,特别软滑舒服,皮肤很好。抱起来软糯主动贴上来蹭来蹭去。洗澡也很仔细。各种身体摩擦,到了床上,老师开始用她洗面奶各种蹭,然后结合灵活的舌头,上下摸索。口活好,服务到位,情绪价值满满。姿势配合,小穴紧,水多,最后愉快出水。

❤2

1 Nov 2026, 08:38 UTC≈1,340 views4 reactionsread 2 November 2026
Photo

【老 师 艺 名】#莹莹 【所 在 位 置】#南京 #秦淮 【茶 位】#10P #15PP 【服 务 类 型】#无套口 #共浴 #69式 【联 系 方 式】@yingying667788 【老 师 频 道】https://t.me/+bl8ueiPmBKcxYjUx 【双向机器人】@Yingying6688bot 备注: #个人老师

🔥2❤1👍1

Showing the 12 most recent of 237 posts we hold for @nanjingpd. 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

@nanjingpd 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.

First edit seen
20 August 2026
Most recent edit
20 August 2026

Posts recorded as deleted after publishing

We recorded 4 posts on @nanjingpd 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
25 August 2026
Most recent seen missing
22 September 2026
Median time before seen missing
19 hours
Seen missing in the last 30 days
0

Mentions

Named by 31 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. The 22 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“南京【认证榜】” (@nanjingpd), 53,604 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/nanjingpd.

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.