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Channel

麦麦的个人频道

@maimai077

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

257subscribers

+23 since we began measuring on 3 November 2026

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

Register entry

Telegram ID-1004422048650
TypeChannel
Username@maimai077
Created29 October 2026 — measured — dated from the channel’s first post
First recorded3 November 2026
Last confirmed live3 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/maimai077

Growth

234257245.53 Nov 2026, 03:22 — 234 subscribers3 Nov 2026, 22:50 — 257 subscribers3 Nov 2026, 03:223 Nov 2026, 22:50
2 measurements taken within a single day, net +23. 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 231–260 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 22:50257+23
3 Nov 2026, 03:22234first reading

Engagement

15 posts held, back to 29 October 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
387.7%
avg views ÷ 257 subscribers
Avg views / post
996
13 posts measured
Reaction rate
0.078%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 8 of 13 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 November 2026
Posts held15 (29 October 2026 – 2 November 2026)
Views total12,952
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 03:22 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

Video runtime
10s
Average length
10s

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.

Reaction mix

6 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6100.0%

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 8 of the 15 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 29 October 2026 to 2 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) 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).

31 Oct 2026, 01:06 UTC803 views1 reactionsread 3 November 2026

【日 期】:2026.10.30 【美女昵称】:#麦麦 【所属频道】:打工人 【地 区 】:芙蓉区 【价 格 】:7p 【验 证 人】: 星星 【人照相符】:9 【身材曲线】:9 【风情指数】:10 【技术含量】:10 【身 高】:163 【凶 器】:B-C,手感好 【手 感】:软 【服务内容】:课表都有 【机车行为】: 无 【服务过程】整体可以给到夯。第一,口活好,嘴唇很湿润软糯,是真正的口得让我热血澎湃,没有齿感,而且口得时间长,很用心不敷衍,力度也恰到好处。 第二,配合度高,连续换了几个动作,我都有点不好意思,但是老师很耐心。 第三,日感好,反馈好。声音甜美软糯,日的时候还一直在亲胸,做爱反馈好。 第四,紧,包裹性不错。 第五,老师应该有健身,皮肤紧致,身上该有肉的地方都有,而且手臂和腿都有一些力量,肉不会软趴趴的。 综上,第一次让我有点虚脱,但是感觉…

❤1

30 Oct 2026, 04:35 UTC955 viewsread 3 November 2026
Forwarded from @csbgb1

【日 期】:2026.10.30 【美女昵称】:#麦麦 【所属频道】:打工人 【地 区 】:芙蓉区 【价 格 】:7p 【验 证 人】: 哈尼 【人照相符】:9 【身材曲线】:9 【风情指数】:10 【技术含量】:10 【身 高】:162 【凶 器】:B 【手 感】:软 【服务内容】:课表都有 陪浴 水中萧 69 蛇 毒龙 【机车行为】: 无 【服务过程】看到po群新上了一个纯新人,而且听说还是山东妹妹,兴致一下就来了。本人见面后,发现纯素颜,鹅蛋脸,眉眼十分好看,不难想象如果全妆将有多惊艳。课室位置市中心,环境非常好,大高层,就是上楼不太方便要转几趟电梯。课室也很舒服,超大落地窗,站在窗前后入,一边听着麦麦的嘶叫声,一边看着整个长沙城市景观,非常舒服。再说麦麦的服务,与眉眼温柔娇羞反差的是口活很好,是那种能让你酥麻的口活,相当不错。很听话,身体反馈真实,进…

29 Oct 2026, 16:33 UTC≈1,220 views0 reactionsread 3 November 2026
Forwarded from @csbgb1

【日 期】:2026.10.29 【美女昵称】:#麦麦 【所属频道】:群里有 【地 区 】:芙蓉区 【价 格 】:11pp 【验 证 人】: kt 【人照相符】:10 【身材曲线】:9 【风情指数】:10 【技术含量】:10 【身 高】:163 【凶 器】:B 【手 感】:软 【服务内容】:课表都有 【机车行为】: 无 【服务过程】坐了好久的车终于到了,进面果然让我很满意。长得符合我的审美,山东妹子真的不错。服务改有的都有。🐍,毒🐲,按摩,该说不说这个老师的环境真不错。一个复试楼,非常大,感觉做会非常爽。老师口的也很舒服,差点没忍住,然后做完ab面就是做,老师做的时候还很会叫,过程就不描述了,最后也是非常舒服的结束这次出击。总结环境不错,老师说话好听情商,完全御姐来的,推荐! 【推荐程度】:🌟🌟🌟🌟🌟 颜值高,皮肤白,手感好,,五星推荐! https://t…

29 Oct 2026, 15:03 UTC≈1,290 views2 reactionsread 3 November 2026
Forwarded from @csbgb1

#报告模板 【日 期】:10月29日 【美女昵称】: #麦麦 【所属频道】:打工人公开榜 【地 区 】:芙蓉区 【价 格 】:11 【验 证 人】: 很好 【见面感觉】:10 【身材曲线】:10 【风情指数】:10 【技术含量】:10 【身 高】:163 【凶 器】:B应该没C 【手 感】:软 【人照相似】:8 【服务内容】:介绍都有 【机车行为】: 无 【服务过程】:来新人了,说是山东人,本狼跟山东人还是很有缘分的,被狗po一说直接就约了,见面感觉很不错,体重差不多100斤有健身,年龄25不到应该,瓜子脸,鼻子下方有颗美人痣很好看,没化妆,素颜就挺能打的,跟照片还是有差距的,但是绝对算得上漂亮,胸估计B,没有很大,摸起来软软的,手指纤细,口活超级厉害,弄很久,差点就射了,服务就是洗完澡,舔,然后推了,妹妹服务都是自己听姐妹说然后学习的比较生疏。山东妹子性格…

❤2

29 Oct 2026, 14:49 UTC≈1,240 views0 reactionsread 3 November 2026
Forwarded from @csbgb1

【日 期】:2026.10.29 【美女昵称】:麦麦 【所属频道】:群里有 【地 区 】:芙蓉区 【价 格 】:700p 【验 证 人】: NL 【人照相符】:10 【身材曲线】:9 【风情指数】:10 【技术含量】:10 【身 高】:160 【凶 器】:B-C 【手 感】:软,滑 【服务内容】:课表都有 【机车行为】: 无 【服务过程】:听闻有新老师驾到,又是我喜欢的甜妹类型,山东籍也很戳我的点,直接无脑冲。 来到楼下在老师的指引下上楼,见面老师真人比照片好看,掏水费没有半点犹豫。 脱衣共浴老师光着脚忙前忙后,像欢快的小白兔,不得不说皮肤是真的白,胸和臀也都是软软的手感,我喜欢。 上床后服务开始,闻了闻老师的长发,香香的没有烟味,好评。口的同时示意老师把屁股转过来,拨开浓密的黑森林可见肥美的鲍鱼,上嘴爽吃没有异味。互舔待我硬起后也没有多余动作,直接戴套开干…

29 Oct 2026, 14:37 UTC≈1,150 views0 reactionsread 3 November 2026
Forwarded from @csbgb1

#报告模板 【日 期】:10.29 【美女昵称】:#麦麦 【所属频道】:打工人 【地 区 】:长沙 【价 格 】:700 【验 证 人】: 十三 【人照相符】:9 【身材曲线】:9 【风情指数】:9 【技术含量】:10 【身 高】:160 【凶 器】:C 【手 感】:9 【服务内容】:都有 【机车行为】: 无 【服务过程】:服务态度非常好。:颜值高,身材好,甜妹型。服务很好,配合度高,吻,亲胸,吃鸡,深喉,吸这些一点也不敷 衍,服务态度很好。总结:满分满分。 【推荐程度】:5星 https://t.me/mmzxc731

Showing the 12 most recent of 15 posts we hold for @maimai077. 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 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.

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

“麦麦的个人频道” (@maimai077), 257 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/maimai077.

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.