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Channel

涵涵的后花园

@fhjhjjcmm

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,945subscribers

+0 since we began measuring on 4 October 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003416716922
TypeChannel
Username@fhjhjjcmm
First recorded4 October 2026
Last confirmed live4 October 2026
Measurements held2
On Telegramt.me/fhjhjjcmm

Growth

1,9454 Oct 2026, 15:47 — 1,945 subscribers4 Oct 2026, 16:22 — 1,945 subscribers4 Oct 2026, 15:474 Oct 2026, 16:22
2 measurements taken within a single day. 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 1,943–1,947 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Oct 2026, 16:221,945no change
4 Oct 2026, 15:471,945first reading

Engagement

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

ERR · 30 days
52.5%
avg views ÷ 1,945 subscribers
Avg views / post
1,020
5 posts measured
Reaction rate
0.168%
reactions ÷ views · ER floor
Posts in window
5
of 13 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 4 of 5 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 2 October 2026
Posts held13 (20 July 2026 – 2 October 2026)
Views total5,105
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 2026, 16:22 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
30
Videos
13
Links
28

Lifetime counters from Telegram’s own channel header, read 4 October 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
18s
Average length
6s

Measured directly from 3 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

33 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 60.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2060.6%
💩618.2%
🤮515.2%
👎13.03%
🤡13.03%

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 12 of the 13 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 20 July 2026 to 2 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

2 Oct 2026, 06:16 UTC403 views0 reactionsread 4 October 2026
Video

快来例假啦,开课最后3天哦。要约课的宝子们赶快来

Signed 宝山新人涵涵

19 Sept 2026, 16:42 UTC≈1,260 views5 reactionsread 4 October 2026
Photo

💃艺名:涵涵 ✈️资料:https://t.me/shxyls/31361 ⛳️位置: #宝山区 🙍‍♂️学生:Oliver ———————————————— 终于熬到了周末,果断约了涵涵老师,当牛马每天蠢蠢欲动的我,此等老师一定不能错过。来到老师门口,随着门把手的转动,一个可爱的脑袋探了出来,我匆忙进入。还没来得及喘口气便被眼前的老师迷住了,真的嫩,属实是大饱眼福了。结实圆润的翘臀,紧接而来的是温柔可爱的颜值。身材曲线的胴体,太喜欢了。重点夸赞一下老师的口活,实在是太舒服了,要是涉世未深的小兄弟在这一关就要被秒。紧接着是女上,看着老师卖力的样子我实在不忍心,直接让老师趴在胸口,双手捏住翘臀疯狂输出。换了很多姿势后终于找到了最喜欢的姿势,后入这种翘臀该死太刺激了,随着每一次的撞击都能激起一层臀浪,美观。下次还来找涵涵老师,值得推荐

❤4🤮1

Signed 宝山新人涵涵

19 Sept 2026, 16:42 UTC≈1,050 views1 reactionsread 4 October 2026
Photo

💃艺名:涵涵 ✈️资料:https://t.me/shxyls/31361 ⛳️位置: #宝山区 🙍‍♂️学生:Carter ———————————————— 老师在一个很大的小区里不过很好找,进出很方便,房间布置得比较整洁。 老师,皮肤很白,身材9分, 态度很好进门帮忙拿拖鞋拿冰水 老师情商很高很会聊天,情绪价值拉满,接着脱衣服洗澡,老师帮忙洗得很认真。洗的过程还时不时的挑逗我,洗着洗着忍不住了,接着直接让老师含住,老师口活超爽没有齿感几分钟不到直接喷射而出被老师的口技轻松了拿捏,接着休息了一会和老师聊了会穿衣服撤退。本人比较喜欢口爆,老师口活没得说。喜欢口活的闭眼冲。老师下面很粉嫩下次一定要好好的桩她🤣

💩1

Signed 宝山新人涵涵

19 Sept 2026, 16:42 UTC942 viewsread 4 October 2026
Photo

💃艺名:涵涵 ✈️资料:https://t.me/shxyls/31361 ⛳️位置: #宝山区 🙍‍♂️学生:Noah Thompson ———————————————— 昨晚上吃完饭翻来覆去睡不着刚好看到涵涵ls有空,约好时间,工作室好找,停车方便,小区环境高档,安全。进门后第一眼看到老师惊艳到我了人照一至9.5分,老师属于耐看型,越看越好看那种,交了水费,自己脱了衣服上楼洗澡,进浴室后全程不用动手,老师帮你洗,szx也十分舒服,擦干上床后,老师先简单按摩b面,指滑非常舒服,随后a面,舔奶头,口活很奈斯差点被老师口爆出来我赶紧叫停,接着69了一会儿老师喘的很投入,遂带t女上,换传教士123,老师叫的太骚了,听得受不了,本该还想换后入的但是忍不住了。总结,老师服务态度满分,说话温声细语,本人比照片好看多了,耐看型。还会二次回购 打9.5分

Signed 宝山新人涵涵

15 Sept 2026, 07:19 UTC≈1,450 views1 reactionsread 4 October 2026

https://t.me/yishuzanlanhui/36734

👎1

Signed 宝山新人涵涵

25 Aug 2026, 05:33 UTC≈2,990 views3 reactionsread 4 October 2026
Photo

‼️ 上海通告群系列 ‼️ 总导航: @tg381 上海通告群:https://t.me/+J9UatvkvaXozZWEx 老师榜单:https://t.me/+cQRdz6QTjsBiNDZh 推荐榜单:https://t.me/+AmYaV2UsH5EwOTQx 狼友交流:https://t.me/+x_7mdatj6QE2YzMx 福利频道:https://t.me/shdaoyou 联系管理: @shqiaobz 双向联系: @shqiaobz_bot

❤2🤮1

Signed 宝山新人涵涵

23 Aug 2026, 05:32 UTC≈3,040 views2 reactionsread 4 October 2026

12.30开课哦

🤮2

Signed 宝山新人涵涵

23 Aug 2026, 05:32 UTC≈2,970 views3 reactionsread 4 October 2026
Video

Video, posted without a caption

❤2🤡1

Signed 宝山新人涵涵

23 Aug 2026, 05:32 UTC≈3,010 views2 reactionsread 4 October 2026

https://t.me/tgxbdd/73364

💩2

Signed 宝山新人涵涵

23 Aug 2026, 05:32 UTC≈2,730 views3 reactionsread 4 October 2026

https://t.me/shjiaodian/25910

❤2🤮1

Signed 宝山新人涵涵

23 Aug 2026, 05:32 UTC≈2,490 views3 reactionsread 4 October 2026

https://t.me/shxyls/31369?single

❤2💩1

Signed 宝山新人涵涵

20 Jul 2026, 05:33 UTC≈4,370 views3 reactionsread 4 October 2026
Photo

今天开课哦宝子们

❤2💩1

Signed 宝山新人涵涵

Showing the 12 most recent of 13 posts we hold for @fhjhjjcmm. 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.

Forward network

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 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.

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

“涵涵的后花园” (@fhjhjjcmm), 1,945 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/fhjhjjcmm.

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.