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Channel

厦门泉州晋江🍀小树林🍀老师榜🌙

@Qmm5599D

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

40,377subscribers

+2 since we began measuring on 7 September 2026

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

Register entry

Telegram ID-1003262964012
TypeChannel
Username@Qmm5599D
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live10 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/Qmm5599D

Growth

40,37540,37740,3767 September 2026 — 40,375 subscribers7 September 2026 — 40,375 subscribers10 September 2026 — 40,377 subscribers7 September 202610 September 2026
3 measurements spanning 3 days, net +2. 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 40,375–40,377 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 07:1740,377+2
7 Sept 2026, 17:2240,375no change
7 Sept 2026, 16:4740,375first reading

Engagement

7 posts held, back to 6 September 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.23%
avg views ÷ 40,377 subscribers
Avg views / post
1,300
7 posts measured
Reaction rate
1.92%
reactions ÷ views · ER floor
Posts in window
7
of 7 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 September 2026
Posts held7 (6 September 202610 September 2026)
Views total9,124
Reactions total175
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 06:05 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
38s
Average length
10s

Measured directly from 4 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

175 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 26.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4626.3%
🔥3419.4%
🎉2816.0%
👍2715.4%
👏2413.7%
🤩95.14%
🥰74.00%

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 7 of the 7 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 175 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 6 September 2026 to 10 September 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 Sept 2026, 04:26 UTC475 views18 reactionsread 10 September 2026
Photo

泉州百捷 #400P# 水床➕莞试 熟茶 #服务系 #莞试服务 #苗条 #骚 老师《增加了水床服务》 老师电报 @FAfff88 个人频道 https://t.me/Dwess55

🔥43🎉3🥰3👍2🤩2👏1

9 Sept 2026, 18:06 UTC500 views30 reactionsread 10 September 2026
Photo

艺名 #小锦# 泉州丰泽区 #95💕98💓 年龄:00年身高:163体重:110胸围:C💞服务:会所服务系 陪浴 水中萧 指滑 舌间漫油 舌吻 吸皮 刮痧 水床 毒龙 调情深喉胸推69无套口爆热情服务姿势配合情趣制服丝袜诱惑💞详细看⬆️课表 老师联系 @fjxiaoyu 双向联系 @fjxiaoyubot 个人频道 @fjxiaoyu1

🤩7👍65🎉4🥰4👏2🔥2

8 Sept 2026, 14:16 UTC739 views104 reactionsread 10 September 2026
Photo

泉州百捷 #400P# 水床➕莞试 熟茶 #服务系 #莞试服务 #苗条 #骚 老师《增加了水床服务》 老师电报 @FAfff88 个人频道 https://t.me/Dwess55

26🔥25👏21🎉16👍16

7 Sept 2026, 09:25 UTC≈1,100 views11 reactionsread 10 September 2026
Photo

泉州丰泽区 #乐乐💞# 95#💕个人会所出道 胸围:36C,身高:163体重:103年龄:28 项目95:500pp(50分钟)服务 项目帮忙洗澡水中萧蚂蚁上树冰火两重天 调情口爆,毒🐲 深🐒 69漫游,情趣丝袜,制服诱惑 禁口嗨,鸽子,嗑药,偷拍 大数据时代约课尽量带现金 电报 @lingling131413 双向联系: @kele6699_bot 老师QQ:3231456395 频道: https://t.me/lingling1314888

5🎉4👍1🔥1

7 Sept 2026, 07:18 UTC≈1,260 views10 reactionsread 9 September 2026
Photo

#湖里区 #500p #雨欣 #大胸 #28 #168 #45kg # #纯天然D+ 服务: 🐻推 🍑臀推 无套口👅 毒龙 口爆 舔蛋蛋 调情 亲亲 戴套爱爱🫦 各种丝袜制服情趣内衣👙 各种姿势配合 诱惑无限 #更多项目自行解锁 ✈电报: @yx1618 双向联系 @youyouxm_bot 个人频道 https://t.me/xmyouy

5👍2🔥2🎉1

6 Sept 2026, 12:03 UTC≈2,840 views1 reactionsread 9 September 2026
Photo

#思明区 #800p #七七 #待验 #22 #165 #48kg # #纯天然C+ 服务: 🐻推 🍑臀推 无套口👅 舔蛋蛋 调情 亲亲 戴套爱爱🫦 各种丝袜制服情趣内衣👙 各种姿势配合 诱惑无限 #更多项目自行解锁 ✈电报: @hmyuyu 🏠订阅: https://t.me/ujtyjtyjy

1

6 Sept 2026, 12:03 UTC≈2,210 views1 reactionsread 8 September 2026
Photo

#已验 #6张 #泉州 #电报老师 #娇娇 #水多耐桩 #嫩嫩 已通过视频验证 电报客服: @xmt778 双向联系: @Xmt778_bot 嫩妹频道:https://t.me/fjqzjjnmg

1

Showing the 7 most recent of 7 posts we hold for @Qmm5599D. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“厦门泉州晋江🍀小树林🍀老师榜🌙” (@Qmm5599D), 40,377 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/Qmm5599D.

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.