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Channel

马东锡的家

@EL4396

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

2,082subscribers

+1,652 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002967919324
TypeChannel
Username@EL4396
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/EL4396

Growth

4302,0821,2567 August 2026 — 430 subscribers8 August 2026 — 430 subscribers8 August 2026 — 431 subscribers15 August 2026 — 2,013 subscribers18 August 2026 — 2,029 subscribers20 August 2026 — 2,049 subscribers24 August 2026 — 2,062 subscribers27 August 2026 — 2,078 subscribers30 August 2026 — 2,082 subscribers7 August 202630 August 2026
9 measurements spanning 22 days, net +1,652. 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 182–2,330 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 06:062,082+4
27 Aug 2026, 05:562,078+16
24 Aug 2026, 06:072,062+13
20 Aug 2026, 20:552,049+20
18 Aug 2026, 01:362,029+16
15 Aug 2026, 02:552,013+1,582
8 Aug 2026, 06:04431+1
8 Aug 2026, 05:18430no change
7 Aug 2026, 19:31430first reading

Engagement

19 posts held, back to 11 June 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
18.5%
avg views ÷ 2,082 subscribers
Avg views / post
385
3 posts measured
Reaction rate
1.82%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 6 August 2026
Posts held19 (11 June 20266 August 2026)
Views total1,154
Reactions total21
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:18 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.

Reaction mix

154 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 48.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7448.1%
4529.2%
🔥2516.2%
🤡106.49%

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 19 of the 19 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 154reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 11 June 2026 to 6 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

6 Aug 2026, 13:52 UTC208 views10 reactionsread 8 August 2026
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【时间】:2026-08-06 【老师】:晚星 【留名】:马东锡² 【人照】:9.5 【颜值】:8.8 【身材】:8 【服务】:9 【态度】:9 【环境】:8.2 【综合】:8.75 【过程】:很久之前就注意到老师了,之前约过两三次,但是很不巧,都没有约到合适的时间。今天由于被鸽,专门去老师频道看了一眼有没有开,然后问了一下有没有空,想着保底应该能约到明天的课,这次很巧,直接约上当天的课了。 人照:人照相似度高,本人和照片基本上没什么差别。 颜值:颜值中上,大眼睛。 身材:身高162左右,实际体重应该80斤左右(课表可能很久没更新了);胸B-,乳晕和乳头都小;户型为正常大小的蝴蝶型;胸口处有几个字母的小符文;三点偏褐色。 服务:三件套plus。🐍的很到位、口活不错。 🐍起手,老师舌头长、灵活,🐍了好一会儿然后舔胸、口;口的技术不错,感觉再多口一会都能被口出来;带套开始,传教起手,传了一会换后入,后入了二三四五分钟,感觉差

4👍4🔥2

2 Aug 2026, 05:35 UTC465 views5 reactionsread 8 August 2026
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下期预告,期待中!

👍31🔥1

1 Aug 2026, 14:05 UTC481 views6 reactionsread 8 August 2026
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【时间】:2026-08-01 【老师】:小小欣 【留名】:马东锡² 【人照】:9.5 【颜值】:8.7 【身材】:8.8 【服务】:7.8 【态度】:9 【环境】:8 【综合】:8.6 【过程】:七月底刚来的新人,这两天不知道去谁了,看到这个老师了,决定去探一探。 人照:人照基本上没什么差别,感觉本人比照片好看一点。 颜值:颜值在嫩妹里算中等,面相乖巧,小圆脸。 身材:身高165左右,体重90;胸B,乳晕和乳头都比较小;户型为很小的蝴蝶型;胳膊有一处小符文;三点很粉。 服务:三件套plus。纯新人一个,基本上什么都不会,但是配合性好、很听话。 反向服务,🐍起手,🐍了一会我吸了一会老师的乳头,然后舔了舔老师的下面(毛量少、很粉嫩),硬了之后老师帮我带套;传教起手,然后后入、后入了二三四五分钟,累了入不动了,休息了十几秒冲刺出货。 态度:态度很好,由于让我罚站了,进门之后一直给我道歉,聊天反馈良好,自聊老师全程没怎么看手

👍32🔥1

27 Jul 2026, 14:26 UTC718 views7 reactionsread 8 August 2026
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【时间】:2026-07-27 【老师】:拉布布 【留名】:马东锡² 【人照】:8.8 【颜值】:9.5 【身材】:9 【服务】:8.5 【态度】:9 【环境】:8 【综合】:8.8 【过程】:从4.22号第一次见颖宝宝,到今天,总算是把早期的悦享4美刷完了。4个老师都很不错,都是御姐系老师。颖宝宝和杨舒淇是三件套plus、加菲猫和拉布布是三件套+69。 人照:照片美白稍重,但是本人也不黑,正常肤色,参考我用原相机拍的照片。 颜值:颜值属于顶级了,妆容比较淡,比较自然的美。 身材:长春大车,身高175,体重100斤左右;胸B+,乳晕中等大小;户型蝴蝶;全身无符文;三点褐色。 服务:三件套+69。先自助洗澡(我没让助洗,浴室太小),擦干后躺床上开始;舔胸起手,然后开始口,口了一会换我开始;吸了一会乳头然后带套开始,传教起手、接后入(后入配合好、腰沉的到位)、然后女上(女上生疏,不怎么会),中途老师看我出汗了要开空调找遥控耽

👍42🔥1

25 Jul 2026, 12:16 UTC715 views5 reactionsread 8 August 2026
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感谢小姨子老师送来的下午茶,大家快去日她,服务系嫩e🌟

👍31🔥1

23 Jul 2026, 10:06 UTC883 views13 reactionsread 8 August 2026
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【时间】:2026-07-23 【老师】:橙子(花花) 【留名】:马东锡² 【人照】:9 【颜值】:8.5 【身材】:8.5 【服务】:7 【态度】:6 【环境】:8 【综合】:7.8 【过程】:老老师了,去年的时候在群里见过,后来很久没见,最近又回电报了,闲来无事,决定去探一探。 人照:人照差别不算大,可以正常参照照片 颜值:中上颜值,面向看着有点骚 身材:身高160,90斤左右;🐻B,乳头小,颜色正常肤色;户型没注意;背部有中等面积的符文 服务:三件套。无助洗,自己洗好之后躺下;舔起手,然后开始口,口硬了带套,传教起手、换后入、女上,女上动了两下没力气了,趴在我身上我冲刺出货。 服务项目流程化严重,🐍要加钱,无69。 态度:态度比较冷淡,整体没太多互动,进门后给我放水让我去冲澡,自己就进房间了,完事后在外边基本上全程在看手机,也没聊几句;服务态度方面,先流程化的完成三件套,然后正式做的时候也比较不耐烦,换姿势明显反

👍74🔥2

18 Jul 2026, 15:04 UTC942 views10 reactionsread 8 August 2026

📚 频道内容导航 (实时更新) 📖|楼凤老师分类标准 └─ 楼凤老师分类标准(V1.1) 🇯🇵|日本出击指南 └─ 日本篇简介 🏆|年度出击总结 └─ 2025年度出击总结 🌐|机场 / VPN 推荐 ├─ VPN推荐:先锋加速器 └─ 机场推荐:赔钱机场 ⭐️|推荐名单(方便的话报一下马东锡推荐) 🍓 嫩妹推荐:小小欣、糖崽崽、梦凡、美美酱、甜心莹、桃宝、乖张 💃 御姐推荐:晚星、拉布布、八月、薄荷、加菲猫、灵灵、草莓、杨舒淇、颖宝宝、程曦、宋韵 🌹 嫩E推荐:丽宝、乐儿、清颜、小姨子

👍81🔥1

18 Jul 2026, 11:33 UTC≈2,820 views8 reactionsread 8 August 2026
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【时间】:2026-07-18 【老师】:八月 【留名】:马东锡² 【人照】:9.5 【颜值】:9.2 【身材】:8.3 【服务】:9 【态度】:9.4 【环境】:9.5 【综合】:9.2 【过程】:八月是微信老师,月初被一个狼友拉来电报了。刚来的时候我就注意到了,当时感觉老师挺不错的,但是月初我自己的课排的太紧了,没时间找八月。最近刚好空了,掐指一算,老师可能快休息了,得赶紧见一下。 人照:人照相符度比较高,本人和照片几乎没什么区别 颜值:上等颜值,妆容是我喜欢的类型 身材:福建的小车,身高160,80斤左右,小小只;胸A,乳晕正常大小,乳头正常肤色;人工虎,户型馒头;锁骨处有一块小符文,其他地方无符文 服务:三件套。先助洗,擦干后躺床上开始;老师先亲了亲肚子,然后开始亲🐻;之后亲蛋蛋,然后开始口,随即开始69;绝美馒头户型,人工虎,舔起来很棒;口硬了之后带套开始,传教起手,传了一会换后入,后入入了一会比较累了,换女上

4👍3🔥1

13 Jul 2026, 09:51 UTC959 views13 reactionsread 8 August 2026
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【时间】:2026-07-13 【老师】:薄荷 【留名】:马东锡² 【人照】:9.5 【颜值】:9.0 【身材】:9.4 【服务】:8.5 【态度】:9.5 【环境】:9 【综合】:9.2 【过程】:薄荷老师我此前在群里见到过说话,但是没仔细留意过。后来听几个老嫖说上岸了,就没再管了,后来又看到老师在雕哥的群里水群,在群里互动了一阵之后感觉这个老师挺有趣的,再到后来听说又回归了,直接果断约课出击。回归后的第一课!!! 人照:人照差别不大,相似度非常高,轻微美颜,本人非常白,上边的照片用原相机拍的 颜值:上等颜值水平,比较耐看,有一种现实中期望的女朋友的感觉 身材:标准身高168左右;体重恰到好处;胸B,乳晕小,乳头正常肤色,挺拔软弹;人工虎,户型蝴蝶形;无符文 服务:三件套。进门主动递打开瓶盖的水,助洗完之后主动帮擦干全身;躺床上后先相视而笑着聊了一会暧昧的话,然后老师主动要求🐍,🐍了好几分钟,开始口(深喉),口了一会我

7👍5🔥1

7 Jul 2026, 15:14 UTC≈1,090 views11 reactionsread 8 August 2026
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🇯🇵 日本篇简介 是否有朋友去日本旅游,顺带想体验一下樱花妹?却遇到过这些情况: • 去著名风俗街瞎逛,被一个说中文的国人忽悠,最后狠狠挨宰。 • 在 Google Maps 搜附近的风俗店,到了之后却被告知不接待不会日语的外国人。 • 在极搜搜索,一堆中介,价格贵得离谱。 本人结合自己踩过的坑,整理出一个价格相对合理、外国人可预约的渠道,希望能帮大家少走弯路。 📍地区说明 泡泡浴只有东京有,主要集中在吉原和池袋附近,其他城市没有。 著名的飞田新地位于大阪,Google Maps 直接搜索即可,无需预约,过去逛街挑选即可,所有店铺均接待外国人。 价格参考(日元): 20min:21000|30min:26000|45min:36000|60min:46000 外送服务则基本覆盖全日本。 📱泡泡浴、上门、进店如何找接待外国人的店? 进入 YOASOBI HEAVEN 网站,注册并登录账号。 选择所在地区和需要的服务类型,点击搜

👍63🔥2

7 Jul 2026, 00:50 UTC≈1,000 views8 reactionsread 8 August 2026

📌 楼凤老师分类标准(V1.1) 本人结合近50次出击经历,现对楼凤老师常见类型编制了如下划分标准(不含COS、SM等小众系列),仅供各位狼友参考。以后更新的车评将严格参照此标准执行,后期也会根据狼友们的建议持续完善与修订。 ━━━━━━━━━━━━ 📚 一、大类类别划分 ① 年龄:嫩妹|御姐|嫩E|老E ② 服务:三件套|三件套plus|服务车 ③ 身材:瘦|标准|微胖|坦克 ④ 身高:小车|标准车|大车 ━━━━━━━━━━━━ 📖 二、小类类别细分 ① 年龄 • 嫩妹:18-21 • 御姐:22-25 • 嫩E:26-29 • 老E:30+ ② 服务 • 三件套:舔、口、做 • 三件套plus:🐍、69 • 服务车:除三件套及plus外,有任意额外服务内容,均归属于服务车(以下简称"有服务"),具体服务内容会在每篇车评中详细列举。 ③ 身材 此项标准涉及身高、体重等多项参数,主观性较强,暂时无法制定相对客观的标准。 ④ 身

👍43🔥1

5 Jul 2026, 15:58 UTC≈1,020 views7 reactionsread 8 August 2026
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【时间】:2026-07-05 【老师】:加菲猫 【留名】:马东锡² 【人照】:9.8 【颜值】:9.7 【身材】:9.2 【服务】:9.2 【态度】:9.5 【环境】:8.8 【综合】:9.4 【过程】:时隔整整一周,又来找加菲猫了。上周也是这个时间,由于那几天有点频繁导致状态不好,没日爽,这次在家休息了一周,决定再次回个锅。这次日爽了 人照:人照方面完全一致,照片都没怎么美白,所见即所得 颜值:在我的审美里,我给到夯,越看越喜欢越爱看 身材:黑龙江大车,身高175左右,体重恰到好处,胸B-,屁股有肉 服务:三件套。进门助洗,完事后躺下,舔胸起手、吸蛋、口,口了一会我让老师躺下反向服务,吸胸,带套传教起手、后入(腰臀比很不错,后入特别爽,老师的腰也沉的很到位)、女上、继续传教,感觉来了换后入冲刺出货。 服务项目虽为三件套,但是是非常投入的状态,三件套也分三六九等,加菲猫的三件套能给到顶级。 态度:情绪给的到位,虽然话

👍42🔥1

Showing the 12 most recent of 19 posts we hold for @EL4396. 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.

Mentions

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

“马东锡的家” (@EL4396), 2,082 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/EL4396.

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.