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Telegram profile photo for 哈尔滨春香阁

Channel

哈尔滨春香阁

@hebcxg

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

44,362subscribers

-7,830 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002374400314
TypeChannel
Username@hebcxg
Description春香阁 让妹妹用自身的体温给你带来冰火两重天的快乐 老师上榜: @WNM1277 交流群: @yjjkys
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 October 2026
Measurements held36
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/hebcxg

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 why it has no browse page of its own yet.

Growth

42,96452,19247,5787 August 2026 — 52,192 subscribers7 August 2026 — 52,192 subscribers8 August 2026 — 51,368 subscribers9 August 2026 — 51,063 subscribers11 August 2026 — 50,544 subscribers11 August 2026 — 50,141 subscribers12 August 2026 — 49,808 subscribers14 August 2026 — 48,895 subscribers15 August 2026 — 48,693 subscribers16 August 2026 — 48,105 subscribers17 August 2026 — 47,636 subscribers19 August 2026 — 47,139 subscribers19 August 2026 — 46,352 subscribers21 August 2026 — 45,445 subscribers22 August 2026 — 44,791 subscribers24 August 2026 — 49,280 subscribers25 August 2026 — 48,737 subscribers26 August 2026 — 48,324 subscribers27 August 2026 — 48,147 subscribers28 August 2026 — 47,712 subscribers29 August 2026 — 47,195 subscribers30 August 2026 — 46,802 subscribers31 August 2026 — 46,443 subscribers1 September 2026 — 46,184 subscribers2 September 2026 — 45,789 subscribers3 September 2026 — 45,386 subscribers4 September 2026 — 45,063 subscribers7 September 2026 — 44,182 subscribers10 September 2026 — 43,478 subscribers12 September 2026 — 42,964 subscribers14 September 2026 — 48,095 subscribers16 September 2026 — 46,541 subscribers18 September 2026 — 46,333 subscribers1 October 2026 — 45,080 subscribers6 October 2026 — 44,677 subscribers11 October 2026 — 44,362 subscribers44,3627 August 202611 October 2026
36 measurements spanning 64 days, net -7,830. 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 41,580–53,576 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
11 Oct 2026, 02:2044,362-315
6 Oct 2026, 19:1544,677-403
1 Oct 2026, 20:5945,080-1,253
18 Sept 2026, 09:5746,333-208
16 Sept 2026, 03:5746,541-1,554
14 Sept 2026, 09:1748,095+5,131
12 Sept 2026, 18:1942,964-514
10 Sept 2026, 16:3643,478-704
7 Sept 2026, 13:2144,182-881
4 Sept 2026, 15:5945,063-323
3 Sept 2026, 01:0845,386-403
2 Sept 2026, 01:5345,789-395
1 Sept 2026, 04:4446,184-259
31 Aug 2026, 06:0346,443-359
30 Aug 2026, 03:4546,802-393
29 Aug 2026, 03:1647,195-517
28 Aug 2026, 03:1347,712-435
27 Aug 2026, 06:4648,147-177
26 Aug 2026, 08:0248,324-413
25 Aug 2026, 05:4348,737first reading

Engagement

49 posts held, back to 1 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 147 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.319%
avg views ÷ 44,362 subscribers
Avg views / post
142
19 posts measured
Reaction rate
0.752%
reactions ÷ views · ER floor
Posts in window
19
of 49 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 1 of 19 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 10 October 2026
Posts held49 (1 August 2026 – 10 October 2026)
Views total2,691
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Oct 2026, 01:22 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
≈1,160
Videos
≈134
Links
≈169

Lifetime counters from Telegram’s own channel header, read 13 October 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
3m 31s
Average length
8s

Measured directly from 26 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 5 of the 49 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 1 August 2026 to 10 October 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

10 Oct 2026, 11:36 UTC109 viewsread 13 October 2026
Photo

老师艺名:#小九儿 老师地址:#道里区 老师三围:#身高158 胸围C 人照对比:8分 服务内容:#鸳鸯🚿,🐍吻,无套吹 联系方式:@vvntrj6 老师频道:@jiuerCOS 消费价格:900p 1700pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

9 Oct 2026, 09:21 UTC128 viewsread 13 October 2026
Photo

老师艺名:#玲玲 老师地址:#道里区 老师三围:#身高170 胸围C 人照对比:9分 服务内容:#无套吹箫 丝袜制服 鸳鸯浴 联系方式:@LING170 老师频道:@linglingC170 消费价格:600p 100pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

8 Oct 2026, 06:55 UTC134 viewsread 13 October 2026
Photo

老师艺名:#九儿 老师地址:#道里区 老师三围:#身高166 胸围B 人照对比:9分 服务内容:#69🐍吻 毒🐉 鸳鸯浴 联系方式:@tidldpuxphjbrhr 老师频道:@jiuer66889 消费价格:1000p 1800pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

6 Oct 2026, 12:52 UTC169 viewsread 13 October 2026
Photo

老师艺名:#糯米 老师地址:#道外区 老师三围:#身高160 胸围 C 人照对比:9分 服务内容:#🐍吻 制服丝袜 蚂蚁上树 联系方式:@hggy899 老师频道:@RMBB22522 消费价格:800p 1500pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

5 Oct 2026, 07:33 UTC133 views1 reactionsread 10 October 2026
Photo

老师艺名:#敏敏 老师地址:#南岗区 老师三围:#身高160 胸围 C 人照对比:8分 服务内容:#舌吻 69 鸳鸯浴 联系方式:@minxiaomei1 老师频道:@minxiaomei11 消费价格:600p / 1100pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

❤1

3 Oct 2026, 13:47 UTC144 viewsread 9 October 2026
Photo

老师艺名:#子希 老师地址:#南岗区 老师三围:#身高172 胸围C 人照对比:9分 服务内容:#🐍吻 陪🛀,胸推 , 指划 联系方式:@ZIXI2231 老师频道:@xiaoyue0577 消费价格:900p / 1800pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

2 Oct 2026, 06:32 UTC153 viewsread 7 October 2026
Photo

老师艺名:#温宁 老师地址:#松北区 老师三围:#身高166 胸围D 人照对比:9分 服务内容:#吞蛋 臀推 阴推 漫游 联系方式:@tyiyto6terer5 双向联系:@wennin1bot 老师频道:@wenbaobao1 消费价格:800p 1300pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

30 Sept 2026, 06:20 UTC170 viewsread 6 October 2026
Photo

老师艺名:#芝芝 老师地址:#南岗区 老师三围:#身高163 胸围 C 人照对比:9分 服务内容:#69舌吻 毒龙,可SM 联系方式:@xyz002215 老师频道:@XYZ225578 消费价格:700p 1400pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

28 Sept 2026, 16:25 UTC166 viewsread 4 October 2026
Photo

老师艺名:#小颖 老师地址:#松北区 老师三围:身高160 胸围 B 人照对比: 9分 服务内容:#舌吻69 鸳鸯水中萧 联系方式:@yingyinglucky 老师频道:@hardworklucky 消费价格:800p 1500pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

27 Sept 2026, 09:50 UTC161 viewsread 3 October 2026
Photo

老师艺名:#小汁汁 老师地址:#南岗区 老师三围:#身高163 胸围 C 人照对比:9分 服务内容:#舌吻 69 观音坐莲 联系方式:@ZZ222zz2 老师频道:@ZZ222212zz 消费价格:600/P 1200/pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

26 Sept 2026, 07:21 UTC123 viewsread 1 October 2026
Photo

老师艺名:#嘟嘟 老师地址:#南岗区 老师三围:身高165 胸围 C 人照对比: 9分 服务内容:# 无套吹箫 69乳推 深候 联系方式:@dduutvt 老师频道:@duduyyed 消费价格:800p 1300pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

24 Sept 2026, 09:14 UTC137 viewsread 29 September 2026
Photo

老师艺名:#依悦 老师地址:#南岗区 老师三围:身高169 胸围 B+ 人照对比: 9.5分 服务内容:#敏感体质 🐍吻69互动 联系方式:@yiyuehennuli 老师频道:@yiyuede 消费价格:1000p 1800pp ⭐️⭐️ ⭐️ ⭐️ ⭐️ ⭐️ 🙃🙂‍↕️😋🚀🛸✈️🚀

Showing the 12 most recent of 49 posts we hold for @hebcxg. 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.

Mentions

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

“哈尔滨春香阁” (@hebcxg), 44,362 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/hebcxg.

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.