圈界NO.1 🟡昵称:#秋妍 🕐地区:#福州晋安区 🤖联系电话13635220328 Q1840087418 薇 WER166186 🚀电报:@ws16998 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 月色洒落在你的身上,清辉勾勒柔和轮廓,褪去白日喧嚣,夜色之中的你,安静温婉,美得如梦似幻一般。 🔰#点击下方查看详情⬇️
❤1

Channel
@fll7896
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
21,836subscribers
-10,745 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002356371972 |
|---|---|
| Type | Channel |
| Username | @fll7896 |
| Description | 上榜管家 @sb88863bot 总群链接:https://t.me/fll78997 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/fll7896 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 22:39 | 21,836 | -27 |
| 5 Nov 2026, 23:31 | 21,863 | +14 |
| 4 Nov 2026, 23:41 | 21,849 | +33 |
| 3 Nov 2026, 22:29 | 21,816 | +15 |
| 3 Nov 2026, 01:19 | 21,801 | +65 |
| 2 Nov 2026, 03:29 | 21,736 | -32 |
| 1 Nov 2026, 05:50 | 21,768 | -71 |
| 31 Oct 2026, 05:49 | 21,839 | -127 |
| 30 Oct 2026, 07:36 | 21,966 | -377 |
| 29 Oct 2026, 06:46 | 22,343 | -264 |
| 28 Oct 2026, 03:26 | 22,607 | +19 |
| 27 Oct 2026, 04:39 | 22,588 | -183 |
| 26 Oct 2026, 04:56 | 22,771 | -41 |
| 25 Oct 2026, 07:51 | 22,812 | -24 |
| 24 Oct 2026, 07:07 | 22,836 | -313 |
| 23 Oct 2026, 08:56 | 23,149 | -119 |
| 22 Oct 2026, 05:58 | 23,268 | -102 |
| 21 Oct 2026, 01:38 | 23,370 | -29 |
| 20 Oct 2026, 00:27 | 23,399 | -295 |
| 19 Oct 2026, 00:26 | 23,694 | first reading |
45 posts held, back to 2 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 105 pages of 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. It is computed over the 7 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 45 (2 August 2026 – 5 November 2026) |
| Views total | 30,797 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 02:49 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 7 November 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 13 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.
24 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 45.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 45.8% | |
| 👍 | 10 | 41.7% | |
| 🔥 | 1 | 4.17% | |
| 😁 | 1 | 4.17% | |
| 🤔 | 1 | 4.17% |
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 21 of the 45 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 2 August 2026 to 5 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.
Telegram’s own ‘edited’ marker: 2 of 16 posts held from the last 30 days (12.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
圈界NO.1 🟡昵称:#秋妍 🕐地区:#福州晋安区 🤖联系电话13635220328 Q1840087418 薇 WER166186 🚀电报:@ws16998 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 月色洒落在你的身上,清辉勾勒柔和轮廓,褪去白日喧嚣,夜色之中的你,安静温婉,美得如梦似幻一般。 🔰#点击下方查看详情⬇️
❤1
全国林妹高端外围【大⭕️圈】 #定金预约 本群已担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 学妹 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 没有玩过大圈的建议先点下方频道查看规则 ♏️双向客服林妹: @wai998bot ♒️总频道: 频道点击浏览👀 #本群推荐信誉客服 24小时接待联系即可
位置:#晋安区 花名:#福州婉贵人 私聊:@ss666188 ✅加微信.acf168198 Q Q.948459576。 双向机器人 @sss168198bot 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 就算隔着一段距离远远观望,也可以感受到你身上散发出的美好气场,不需要靠近,就能感受到你的光彩。 🔰#点击下方查看详情⬇️
👍2
圈界NO.1 🟡昵称:福州小澜 🕐地区:#晋安区 🤖微信:18106041127 🚀电报:@fuzhouranran 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 静如娇花照水,动如弱柳扶风,浑然天成的古典美。 #禁收车费定金和没见人就给课费 🔰#点击下方查看详情⬇️
#全果94养生 #台江夯爆了94公寓SPA #spa按摩 00后女仆 #女仆养生 #女仆换装 #极致养生 位置:#福州 台江万达附近 女仆养生:419/60分钟 前期老师会帮你助洗擦拭身体,可挑选服装丝袜 ,按摩肌肤,玉女指滑 ,高山流水,深度鼻吸,波汹滑翔,果舌毒🐉,猴子偷桃 ,水中捞月,双宝夹龙,二弟保养,脚盘指滑,亲🐻挑逗,4推选择释放(极致就是潮) 以上服务均有,形象~服务~情绪集于一身,服务时间45-60分钟,会所级服务流程名副其实极致,让更多表哥享受优质服务的同时,有一个宁静的环境,独享一份属于自己的世界。 女仆快感:599/60分钟(不限次) 要提前几次,跟老师提前说会合理安排时间,一切以时间为准! 前期老师会帮你助洗擦拭身体,可挑选服装丝袜 ,床式女仆调情,按摩肌肤,玉女指滑 ,高山流水,深度鼻吸,波汹滑翔,果舌毒🐉,猴子偷桃 ,水中捞月,双宝夹龙,二弟保养,脚盘指滑,亲🐻挑逗,4推选择释放 女仆双飞:6…
福州。福清。五区八县修车资源 电报联系 @eew136 福州修车频道:点击预览👀 福清选妃频道:点击预览👀 客服qq:3938917054 双向机器人:@eew137_bot 福州 #高新区 #鼓楼区 #仓山区 #台江区 #晋安区 #小萝莉外出#福清#长乐#马尾#连江#平潭#罗源# 服务:#陪浴 #无套吹 #激情爱爱 #胸推 #六九 #🐍吻 🔴标签 #可放心出击 #已验证
圈界NO.1 🟡昵称: 宁宁 🕐地区:#仓山区 🤖双向:@nyy00hh_bot 🚀电报:@nyy00hh 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的身上既有女孩的灵动纯真,又有成熟女性的知性大方。 🔰#点击下方查看详情⬇️
🟡昵称:#八万 🕐地区:#鼓楼区 🤖双向: @BAAAWA0nbot 🚀电报:@BAWANbw 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
圈界NO.1 🟡昵称:大E 🕐地区:#晋安 🤖双向:@huihui55586_bot 🚀电报:@huihui55588 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的眉眼弯弯,就像初升的弯月,盛满了温柔的诗意。 🔰#点击下方查看详情⬇️
😁1
圈界NO.1 🟡昵称:涵涵 🕐地区:#闽侯 🤖双向:@fzhanhan123Bot 🚀电报:@hanhanfz 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的黑发如瀑,随风微漾时带起一阵迷人的气息。 🔰#点击下方查看详情⬇️
🔰福州蜜桃 实力老字号 🌹靠谱一手 资源保真 🌹福州厦门/中圈 大圈 萝莉学妹 正版洋酒 优质小圈 特服SM 🌹🉑星级酒店/公寓🉑上门🉑双飞 🉑3P 🉑包夜 🉑车震🉑面付 电报私信: @mitao1001 双向机器人: @mitaofz_bot 频道选人 : @mitaofz QQ : 3949417918
🟡昵称 :#小鹿 🕐地区: #湖里区 🤖双向: @jipinluolibot 🚀电报:@qq564705 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费
Showing the 12 most recent of 45 posts we hold for @fll7896. 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.
@fll7896 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.
We recorded 3 posts on @fll7896 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.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“福州销魂选妃” (@fll7896), 21,836 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/fll7896.
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.