甜甜的朋友圈🍭 pinned a video

Channel
甜甜的朋友圈🍭
@Mtianiii
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
4,651subscribers
+0 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002754470270 |
|---|---|
| Type | Channel |
| Username | @Mtianiii |
| Description | 私聊 @Mtianii 双向 @Mtiani_bot |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Mtianiii |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 17:00 | 4,651 | no change |
| 15 Aug 2026, 16:45 | 4,651 | first reading |
Engagement
20 posts held, back to 4 July 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 33.9%
- avg views ÷ 4,651 subscribers
- Avg views / post
- 1,580
- 6 posts measured
- Reaction rate
- 0.118%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 20 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 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 20 (4 July 2026 – 15 August 2026) |
| Views total | 9,450 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 17:00 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
- Photos
- 83
- Videos
- 27
- Links
- 126
Lifetime counters from Telegram’s own channel header, read 15 August 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.
- Video runtime
- 20s
- Average length
- 10s
Measured directly from 2 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
21 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 76.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 76.2% | |
| 💊 | 3 | 14.3% | |
| 🤔 | 2 | 9.52% |
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 12 of the 20 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 July 2026 to 15 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
我上班的状态
我回来啦 小宝们 今天开
🤔1
不好意思了小宝们 身体情况我可能要休息两天了
💊3❤1
甜甜的朋友圈🍭 pinned a photo
✨ 命运揭晓时刻 ✨ 💋白云嫩妹沐甜💋神教7月半价抽奖 开奖了 抽奖人数:215,发言达标人数:117,抽奖号数:3375 1. 肉蛋子龙虎鲲鹏【祝福15次】 中得:1P半价 抽奖说明: 中奖者联系 @Mtianii 兑奖; 1️⃣ 抽中半价或白嫖等大额优惠券在中奖时即奖池拉黑100天,所有抽奖优惠券的通用使用时间为7天,具体以抽奖说明为准,拉黑期间提前交报告则提前解除拉黑,如遇老师红休则14天内完成兑奖,老师不兑或跑路请举报至管路员伍佰,该老师直接下榜, 2️⃣所有抽奖优惠券同时均可无偿转让,且只能无偿,转让必须先征得老师同意,发现付费等有偿转让的,群组封禁。 3️⃣参加抽奖视为已读并同意本说明,参加务必三思,不接受点错、后悔等理由申诉!! 🔍 杜绝黑幕,点击查看本次开奖全程验证
❤2
【连胜报告】: http://telegram.me/GZLB2 【个人评价】: #好评 【验证留名】: 禤炜 【联系方式】: @Mtianii 【老师艺名】: #沐甜 【科室地址】: #白云 【出击时间】: 2026-7-16 【颜值】: 9漂亮 【身材】: 9身材好 【服务】: xcz+🐍 【年龄】: 嫩妹 【性格】: 外向 【环境】: 8.5 【价格】: 700p 【平均得分】: 8.5 【推荐指数】: 8.5 【总结】 推门刹那,眼前一亮。是个十足的嫩妹。 她温婉热情,见我远道而来,便递上一杯清水。三两句闲聊,交完水费,携手同入温汤。年轻的骨肉温软而极富弹性。 重回罗帐,她俯首承迎,唇舌间极尽绵密。见她久不叫停、有些辛苦,我心生怜惜,主动戴上装备。 她先跨坐而上,腰肢款摆,会摇且格外持久。帐中娇喘不绝,待她身上渗出一层细汗,我便将她放平,换作传教士。 长驱直入,幽谷中春水渐溢。 她紧蹙双眉,轻吟声彻底失了章法。情…
❤3
【连胜报告】: telegram.me/GZLB2 【个人评价】: #好评 【验证留名】: 看花有时 【联系方式】: @Mtianii 【老师艺名】: #沐甜 【科室地址】: #白云 【出击时间】: 7.17 【颜值】: 9分 【身材】: 8分 【服务】: 9分 【年龄】: 嫩妹少女 【性格】: 热情 【环境】: 7分 【价格】: #700p 【平均得分】: 9分 【推荐指数】: 9星 【总结】 ①优点: 很漂亮, 很热情,该有的服务都有,满意的一次cj ②缺点: 蛮好的,没什么明显缺点 (有陪洗 有一次性毛巾 上楼不用登记 科室环境可以 服务态度很好) 报告提交机器人: @XIAOGUANGBot 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座 点击查看资料👉沐甜👈
❤1
小宝们 最近事情一大堆 身上又过敏了 不过现在好多了 我明天就回来啦 要约明天的可以找我啦
❤2
🎉💐🎉Winner Winner🎉💐🎉 白云沐甜携手广佛修车司机协会白嫖抽奖活动(@Mtianii) ①本次活动由沐甜本人赞助 ②兑奖联系:@Mtianii ③开奖日起奖品有效期7天 ④中奖不可以有偿转让 ⑤出击后必须提交报告到:@xhxzl1_bot 🎫参与人数: 81|号码总数: 10296 🔖中奖名单如下: 1- 阿甘 (⚡特么的[+150] 🉐: p白嫖卷 2- 开心果[+150] 🉐: 15红包🧧 3- 黑咖啡☕[+150] 🉐: 15红包🧧
❤1
甜甜的朋友圈🍭 pinned a photo
✨ 命运揭晓时刻 ✨ 白云嫩妹沐甜p半价卷 开奖了 抽奖人数:145,发言达标人数:122,抽奖号数:428 1. KIT【祝福1次】 中得:p半价优惠卷 抽奖说明: ❶刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等,一律视为无效发言,取消中奖资格!请用心交流! ❷请三天内约课,五天内完成上课,因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! ❸活动最终解释权归本群管理团队所有。 ⚠️自言自语刷屏再删消息的都会被永久封禁,且中奖无效!删消息必永久封禁! ❗️❗️❗️中奖人员拉黑30天,出报告解黑,连续中奖3次不去或不出报告永久拉黑 兑奖请联系: @Mtianii 【🥰🥰🥰本群已开启出击写报告获得300元自选卷福利】 🔍 杜绝黑幕,点击查看本次开奖全程验证
❤1
Showing the 12 most recent of 20 posts we hold for @Mtianiii. 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@Mtianiii named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 16 August 2026 – 16 August 2026
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“甜甜的朋友圈🍭” (@Mtianiii), 4,651 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Mtianiii.
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.