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Telegram profile photo for 菲儿小屋🛖

Channel

菲儿小屋🛖

@mbamba943320000

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

622subscribers

-81 since we began measuring on 19 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002985785017
TypeChannel
Username@mbamba943320000
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live11 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/mbamba943320000

Growth

622703662.519 August 2026 — 703 subscribers19 August 2026 — 703 subscribers27 August 2026 — 676 subscribers2 September 2026 — 637 subscribers11 September 2026 — 622 subscribers19 August 202611 September 2026
5 measurements spanning 23 days, net -81. 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 610–715 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 02:21622-15
2 Sept 2026, 21:28637-39
27 Aug 2026, 05:55676-27
19 Aug 2026, 13:15703no change
19 Aug 2026, 13:00703first reading

Engagement

16 posts held, back to 26 December 2025the 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
0.643%
avg views ÷ 622 subscribers
Avg views / post
4.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 16 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 19 August 2026
Posts held16 (26 December 202519 August 2026)
Views total8
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 13:15 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
4s
Average length
4s

Measured directly from 1 video 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.

Recent posts

19 Aug 2026, 05:55 UTC4 viewsread 19 August 2026

最近熬夜对肝不好 哥哥能叫我“小心肝”嘛💋

24 Jul 2026, 01:37 UTC7 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#浦东 🤖链接:https://t.me/shanghaidadao/10628 💒位置:#菲儿 ------------------ 💌出击报告:171的个子穿着黑丝进来,腿部的线条一下子就很明显。她先让我趴好,从肩膀开始做按摩。力道恰到好处,掌心顺着背脊往下推,经过腰眼时会多揉几下,把身体一点点放松开。丝袜的光滑触感在这个过程中一直存在着,她的膝盖偶尔会碰到我的腿侧。按摩到后面她让我翻身,自己跨上来摆成69。上面是她的嘴,含住后节奏稳定,时深时浅;下面是已经有些湿意的地方完全贴过来。因为身高足够,她的长腿可以很舒服地分开,黑丝包裹的大腿根就在眼前,视觉很直接。69的紧密、按摩留下的余热、丝袜一直没脱的包裹感,整场被她做得又顺又有身体优势。结束时她从我身上下来,坐在床边慢慢卷丝袜,171的腿折叠起来依然很好看。

20 Jul 2026, 12:29 UTC10 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#浦东 🤖链接:https://t.me/shanghaidadao/10628 💒位置:#菲儿 ------------------ 💌出击报告:服务项目简单但做得特别舒服。先是专业按摩,她手法不错,从肩膀一路推到腰腿,力度适中,把我全身放松下来。按着按着就开始加色情项目,她穿着黑色丝袜跪在我身上,用丝袜大腿夹着我鸡巴慢慢摩擦,那种细腻的丝袜触感又滑又刺激,鸡巴被磨得又硬又爽。 情趣内衣环节她换上了一套透明蕾丝,奶子和大腿若隐若现,特别诱惑。穿着情趣内衣给我继续按摩,边按边用身体蹭我,奶子软软地贴在背上,下面已经湿了。 后来她穿着丝袜和情趣内衣给我口,丝袜腿盘在我腰上,技术虽然不是最顶尖,但胜在配合度高,我要什么姿势都答应,氛围很放松。 整体体验不错,浦东交通方便,妹子服务热情。适合想放松+小情趣的狼友,性价比高。下次去浦东还约!

13 Jul 2026, 08:09 UTC10 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#嘻嘻 🤖链接: https://t.me/shanghaidadao/10608 💒位置:#普陀 ------------------ 💌出击报告:浴缸放满热水后,她湿着头发潜下去,抬头冲我嘻嘻一笑,一口把我的鸡巴含进嘴里。水下深喉特别刺激,她技术很稳,含得又深又紧,舌头在水里灵活地缠绕龟头和马眼,吸得我爽得腿发软。她憋气时间长,一口气能含半分钟以上,浮上来换气时嘴角还带着淫荡的笑容说:“哥哥的水中箫舒服吗?”洗完澡我们转移到床上,她立刻让我趴下,翘起屁股给我毒龙。嘻嘻的舌头又热又软,从蛋蛋一路舔到后庭,没有丝毫犹豫,直接把舌尖顶进去又舔又吸,同时一只手从下面撸我的鸡巴,前后夹击爽得我直哼哼。她边舔边发出“嘻嘻”的笑声,骚得不行。 毒龙玩爽后,她转过来给我深喉。跪在我面前,双手抱住我的大腿,脖子放松直接把鸡巴全部吞进去,鼻子能顶到我的小腹。深喉的时候她眼睛还看着我,眼泪都被顶出来了,但还是努力坚持,喉咙收缩按摩龟头,技

5 Jul 2026, 11:29 UTC13 viewsread 19 August 2026
Forwarded from @SHDD333

💃老师:#菲儿 🤖链接: https://t.me/shanghaidadao/10628 💒位置: #浦东 ------------------ 💌出击报告:发现新老师上榜,本身抱着试试的心态去的,因为毕竟老师刚来的也犹豫了一会,最后行动欲战胜了控制欲,决定出击,经过长途跋涉的一路堵车,终于抵达了目的地,当巧合开房门的一刹那,让我瞬间爱上了,颜值很高,很有礼貌,态度也很好,人照也一致。至少八分像嘛。让你不带犹豫的直接付费了,然后老师帮我整理好,换鞋,脱下摆放的衣服,跟我一起来了一个鸳鸯戏水浴,随便洗了一会,我的大叼已经硬的不行,老师把我扑倒在床上,然后就是疯狂69一会,下面的确好嫩,谈she好久没这么享受了,可别说,那个老师下面好多水,好润,好紧,一顿行云流水疯狂抽擦,过程虽然很快,但是很爽,哈哈哈,很不错的一次体验,值得推荐,喜欢服务多的,不用质疑,出击就完了

14 May 2026, 07:48 UTC37 viewsread 19 August 2026
Photo

不够完美又何妨,万物皆有裂缝, 那是光照进来的地方😊

Showing the 12 most recent of 16 posts we hold for @mbamba943320000. 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.

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.

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

“菲儿小屋🛖” (@mbamba943320000), 622 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/mbamba943320000.

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.