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Channel

林灿的恋爱小窝

@FTlchome

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

3,811subscribers

+42 since we began measuring on 24 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001373354493
TypeChannel
Username@FTlchome
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live25 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/FTlchome

Growth

3,7693,8113,79024 Aug 2026, 06:45 — 3,769 subscribers24 Aug 2026, 07:00 — 3,769 subscribers25 Aug 2026, 03:36 — 3,811 subscribers24 Aug 2026, 06:4525 Aug 2026, 03:36
3 measurements taken within a single day, net +42. 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 3,763–3,817 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 03:363,811+42
24 Aug 2026, 07:003,769no change
24 Aug 2026, 06:453,769first reading

Engagement

10 posts held, back to 19 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.7%
avg views ÷ 3,811 subscribers
Avg views / post
942
10 posts measured
Reaction rate
0.187%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 6 of 10 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 24 August 2026
Posts held10 (19 August 202624 August 2026)
Views total9,420
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Aug 2026, 07:00 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
20s
Average length
7s

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

14 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 92.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1392.9%
🥰17.14%

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 6 of the 10 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 19 August 2026 to 24 August 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

24 Aug 2026, 04:12 UTC340 viewsread 24 August 2026
Photo

生活将我击倒 我幸福的睡着了 今天还有位 预约滴滴 私聊:@FTlcan 双向:@FTlcanbot

24 Aug 2026, 04:09 UTC343 viewsread 24 August 2026

超跑出击报告 花名:林灿 城市:深圳 区域:福田 日期:2026-08-24 评价:2条(含报告) 出击体验:林灿ls教室在高档公寓,干净卫生又整洁; ls十分亲切,让人很放松。 交完水费后,就与ls共同沐浴,看着那对雪白的双峰,嫩滑的大长腿,我兄弟不由得起立致敬。完事后ls贴心的帮忙擦干身上的水。然后躺床上,ls开始用她那灵蛇般的巧舌在我身上游走,我兄弟也是见了不少场面的。但是在ls的巧舌攻击下,差点缴械投降。 ls看我兄弟差不多了,果断给它穿上外衣,然后让它进入她那紧致又温暖的小穴里面,啊…,进去那一刻简直不要太舒服,被紧紧得握住的感觉,里面又湿又暖。 ls开始一上一下的进行着活塞运动,嘴里不断得发出享受的嗯啊…真实又不夸张。随着ls节奏的加快,并且双手在我身上不停的游走。呼~我一下子被ls秒了……我兄弟绝不是一个好对付的选手,但是今天栽在ls手里了。总而言之,林灿ls十分值得体验,等我兄弟歇好状态一定再来找林灿ls再较量一

23 Aug 2026, 05:04 UTC833 views3 reactionsread 24 August 2026
Photo

这个世界欠调教 你也是👙 私聊:@FTlcan 双向:@FTlcanbot

2🥰1

22 Aug 2026, 09:57 UTC947 views0 reactionsread 24 August 2026
Photo

132、#林灿 @FTlcan 群友强烈推荐的新人,提前约了头课一探。 优点:颜值很高,五官立体,大波浪巴掌脸异域风。 身高163左右,很苗条,身材很好,小蛮腰大长腿大屁股,腰臀比一流; 🐻很大,略有科技,但摸起来软软的,RT粉色; 服务主动,从脸开始亲到下面,摸几下下面就湿漉漉了,屌感很好,传教士架起玉腿或者对着镜子做的很爽,骚话不断,反应激烈,做的酣畅淋漓! 不足:🐻略有科技,无舌,话不多。 总体:A+(有舌就是S),1.3kp,高颜异域御姐,床下I人,床上风骚尤物,绝对值得一去。

22 Aug 2026, 06:19 UTC≈1,020 viewsread 24 August 2026
Photo

花名:林灿 坐标:#福田 课费:1300p 2500pp 私聊:@FTlcan 双向机器人:@FTlcanbot 评价:1条 (含报告) 在榜:新人 ━━━━━━━━━━━━━━ 标签:#兼职 #模特 #00后 #高颜 #美臀 #长腿 #马甲线 #冷白皮 ━━━━━━━━━━━━━━ 流程:沟通→ 预约 → 核验 → 评价 ✅预约是争议处理凭证 ━━━━━━━━━━━━━━ 【📅 我要预约】 【💬 查看主页/评价】 【🚨 我要投诉】 【👥 群 @chaopao】

22 Aug 2026, 03:36 UTC≈1,010 views0 reactionsread 24 August 2026
Video

你的意思是 你周旋於不同的人 最後心還在我這裡是嗎😍 私聊:@FTlcan 双向:@FTlcanbot

20 Aug 2026, 13:18 UTC≈1,440 views5 reactionsread 24 August 2026
Forwarded from @shuaishuai1112Photo

上课时间:2026.08 老师花名:#林灿 老师电报号:@FTlcan 上课费用:1300p 出击日记:人照9!身高应该在160左右,胸D(有科技),瘦底配上大胸再加上顶级颜值脸,简直视觉盛宴!进房间后我全程欣赏林灿的颜值,还有一个我喜欢的点是林灿从进门到上床都穿着高跟鞋,很有女人味,原本我以为频道照片是p的没想到本人颜值真的硬,瓜子脸高鼻梁,纯纯小名媛风,特别一进门穿着漏半个奶子的穿搭我的牛牛直接立正了;正事环节林灿帮我亲猪咪亲脖子然后口牛牛,口技还可以无齿感,还试了下让林灿深喉,一边欣赏林灿颜值一边看她帮我口简直爽翻天,可惜不能舌吻kiss但是我一直亲她脸和脖子很嫩很香,然后看了下林灿的馒头逼,然后我选择自己操盘让林灿在下面,一边欣赏林灿颜值一边囸简直爽翻,还轻微掐了下脖,最后选择在旁边的梳妆台上前让林灿站着后入,一边欣赏镜子里林灿颜值和表情一边发射了,颜值太高了绝对的断层颜值水平,事后偷偷看了林灿几眼,侧脸更美,很好的一次

5

20 Aug 2026, 03:08 UTC≈1,550 views6 reactionsread 24 August 2026
Forwarded from @baogaohuajianji

百花名录报告模板 { https://t.me/huaxufengnan } 位置坐标: 深圳福田 验证留名: 克劳德 上课时间: 8月中下 老师名字: 林灿 联系方式: @FTlcan 上课花费: 1300/p 综合评分: 9.3(此性价比9.8分) 详情描述 硬件 颜值: 参考资料照片和视频9分。脸比频道还小。还瘦,大眼睛,非常大,大眼睛很会放电。高鼻梁,瓜子脸。小嘴巴。颜值很高。 妆容还行,不够精致。发型马尾辫比较普通。没照片打扮那么洋气。但是脸很好看。 身高: 净身高164-165左右。穿鞋170 皮肤: 滑润,紧致,偏冷白皮,很白。 身材: 非常👍🏻,底板非常瘦,才不到95斤,但是紧致。 🐻D左右,有科技,非底座🐻,应该是腺体熊,🐻比较软。很挺,乳头很小,乳晕小很粉很粉。就像个蟠桃,特别好看。雪白的2蟠桃上面2个粉点。谁不想吃一口。 腰: 比A4腰还细,腰腹很紧致。微马甲线。 臀:

6

19 Aug 2026, 03:36 UTC≈1,700 views0 reactionsread 24 August 2026
Video

把美团卸载吧,因为你的菜来了👈 私聊:@FTlcan 双向:@FTlcanbot

Showing the 10 most recent of 10 posts we hold for @FTlchome. 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.

Citation-graph rank

Citation-graph rank — 1,279,661 of 1,621,120entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 2 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.

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

“林灿的恋爱小窝” (@FTlchome), 3,811 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/FTlchome.

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.