Channel
@Mgtasha25
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
549subscribers
+195 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004316602459 |
|---|---|
| Type | Channel |
| Username | @Mgtasha25 |
| Created | Between 1 June 2026 and 2 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/Mgtasha25 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 17:57 | 549 | +192 |
| 8 Aug 2026, 17:40 | 357 | +3 |
| 8 Aug 2026, 16:30 | 354 | first reading |
17 posts held, back to 2 August 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 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 7 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 17 (2 August 2026 – 8 August 2026) |
| Views total | 12,497 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 16:30 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.
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.
28 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 46.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 46.4% | |
| 👍 | 5 | 17.9% | |
| 🤔 | 4 | 14.3% | |
| 👏 | 2 | 7.14% | |
| 🔥 | 2 | 7.14% | |
| 😁 | 1 | 3.57% | |
| 🥰 | 1 | 3.57% |
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 7 of the 17 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 2 August 2026 to 8 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.
【验证留名】：风流倜傥 【验证时间】：8月8号 【妹子花名】：混血儿娜塔莎 @hjfwejj 【所在位置】：麦地 【 安 全 性 】：高 【修车水费】：700 【身高身材】：165 【颜值相似】：9 【凶器罩杯】：D奶 【服务内容】：该有的一样都不拉 【服务详情】：我还以为照片是假的呢，抱着侥幸心理来看一下这个老师，和老师约好时间就出发了，安全性很高老师是遥控指挥，准备上楼看到老师的第一眼没想到本人比照片还要漂亮的，这次简直是没有白来，看到老师第一眼就心动啦美妙的长相，妖艳的身材特点是胸非常大简直两只手才能抓到，老师开始放水洗澡，洗澡是过程中老师挑逗我让我的小弟弟里面挺起来，超有感觉的，我就迫不及待的和老师说上车吧，到了床上之后老师开始各种服务做的和很到位没有落下的，接下来该我上场了，冲刺了一把把所有的子弹都射到老师的咪咪上，洗澡结束，下次还要来找个老师 【机车行为】：无 【优点缺点】 :胸大叫声非常动听 【推荐程度】…
💋💋💋💋💋有空哦
一点开课宝子们
今天🈵
【验证留名】：浪子刚 【验证时间】：8月5号 【妹子花名】：混血儿娜塔莎 @hjfwejj 【所在位置】：麦地 【 安 全 性 】：高 【修车水费】：1300pp 【身高身材】：165 【颜值相似】：9 【凶器罩杯】：D奶 【服务内容】：都有 【服务详情】：进门看到老师很是惊艳，身材十分火辣，真正的前凸后翘，小蛮腰，频道就已经很好看了，还很相似，想着约一课的，问了一下后面没有人，果段交了pp的水费，主动交了水费洗澡，有陪浴，陪浴过程也很舒服 ，迫不及待门口帮擦，上床开始B面服务，老师跪在身边，先是来了个全身指滑，不紧不慢，放松惬意。接着让我并起双腿，大乃紧贴着背部缓慢移动，从背部一直到小腿，期间还伴随有娇喘声。大奶子胸滑舒服太多。用小手爱抚蛋蛋和吉吉。用舌头舔蛋蛋，还有反吊，特别爽。最后切换A面，同样是奶滑，大乃贴身游走，又大又软，捏了两下很有手感。让老师换了性感的衣服，老师趴在身上，亲吻脸颊、耳朵。舌吻很配合很投入，…
❤2
❤️❤️❤️❤️有空哦，宝
上班上班👌👌👌👌👌👌
❤1
用力😳😳
🤔2❤1
上车上车😍😍😍
12点尾课，谁来😘😘😘
【验证留名】：不留门靓仔 【验证时间】：8月4号 【妹子花名】：混血儿娜塔莎 @hjfwejj 【所在位置】：麦地 【 安 全 性 】：高 【修车水费】：14pp 【身高身材】：165 【颜值相似】：比例完美 【凶器罩杯】：很大 【服务内容】：都有 【服务详情】： 身材s,前凸后翘，留着长发，瓜子脸，第一眼挺满意，我有长发控，到了楼上买完p直接开战，老师帮我从上到下洗了一遍，全程不用自己动手，洗完就让我平躺着开也许始了一顿操作，老师舌头很软在我身上来回滑，身上体香弥漫在空气中，配合着老师不停操作快起飞了那一刻，小马达的加持几分钟就交代了，聊会天老师挺温柔，挺能聊，看时间还早p改成pp，做完老师又帮我从上到下洗了一遍，穿好老师送我出门，吻别，整体感觉优。。 【机车行为】：无 【优点缺点】 : 奶大，顶级骚货，叫床很好听 【推荐程度】：🖐🏻星⭐星⭐ ✅已核实聊天记录截图
❤2
娜塔莎（加拿大华侨）💋💋 pinned a photo
Showing the 12 most recent of 17 posts we hold for @Mgtasha25. 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 — 1,083,226 of 1,481,217entries 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.
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.
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.
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.
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.
“娜塔莎（加拿大华侨）💋💋” (@Mgtasha25), 549 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Mgtasha25.
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.