Channel
@ffhhhhdddr
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
818subscribers
+3 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003840410188 |
|---|---|
| Type | Channel |
| Username | @ffhhhhdddr |
| Created | Between 1 February 2026 and 2 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/ffhhhhdddr |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 01:38 | 818 | +3 |
| 11 Aug 2026, 19:16 | 815 | first reading |
19 posts held, back to 2 June 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 August 2026 |
|---|---|
| Posts held | 19 (2 June 2026 – 1 August 2026) |
| Views total | 4,350 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 19:16 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.
8 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 87.5% | |
| 🔥 | 1 | 12.5% |
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 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 8reactions 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 2 June 2026 to 1 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.
南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】：李逍遥 【老师花名】：小七 【联系老师】：👉点击直达老师👈 【人照得分】：8 【颜值得分】：8 【身材得分】：8 【服务得分】：10 【态度得分】：10 【环境得分】：10 【验证时间】：2026-08-01 12:03:09 【过程描述】：进门发现小七老师长得挺乖巧的，属于那种小可爱类型，接下来就是洗漱，全程不用自己动手，洗漱完去到床上，我先是让小七躺着我先调戏她，她下面的毛毛挺少的，小穴属于那种馒头一线天，粉嫩的，她的口活非常棒特别是深喉，我觉得可以了就让小七坐上来，爽飞了，她非常会摇，还主动🐍，就想发骚的小女友一样，特别紧，换了两个姿势就出来了。 【综合评价】：优 【预约截图】：已上传 【报告提交】：@xiuchennbot
🔥1
🙏
❤1
南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】：海 绵 【老师花名】：小七 【联系老师】：👉点击直达老师👈 【人照得分】：8 【颜值得分】：8 【身材得分】：8 【服务得分】：9 【态度得分】：7 【环境得分】：10 【验证时间】：2026-07-31 21:31:40 【过程描述】：憋了一周，鸡痒难耐，科技群瞎逛，看到老师图片不错，一问刚收拾完开课，马上约了头课驱车前往。课室小区里，好停车，安全，安静，环境极佳。寒暄几句付课费洗澡，洗得很仔细。户型方正，嫩妹。进入正题，口很舒服，吃肠吃蛋，深喉巨爽，差点爆出来……戴帽上阵，紧致连连，可以边蛇边干，老师的肢体反应也很有感觉，过程省略。老师话比较少，还需学生主动点引导。总体满意 【综合评价】：优 【预约截图】：已上传 【报告提交】：@xiuchennbot
南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】：匿名 【老师花名】：小七 【联系老师】：👉点击直达老师👈 【人照得分】：10 【颜值得分】：10 【身材得分】：10 【服务得分】：10 【态度得分】：10 【环境得分】：10 【验证时间】：2026-07-10 00:54:12 【过程描述】：位置停车方便 课室也很好找 一进房间老师挺小个的 很可爱 然后就洗澡 洗的很干净 然后就到了床上 很卖力的口 特别是深喉 老师也很敏感 会叫 【综合评价】：棒 【预约截图】：已上传 【报告提交】：@xiuchennbot
❤1
#南宁修仙手稿 【置顶取模版】 道友留名：卷毛小白 双修日期：7.7 道侣花名：#小七 双修洞府：#南宁 #青秀区 双修花费：工兵价 双修体验：也是很久没有出击了，感谢外星人👽兄弟转让的位置，地方好找 环境还不错。干净整洁，小七老师人照基本无差，开门就是个嫩妹迎接和照片基本上一样，嫩出水来的那种，进去后交水💰就开始一起🛀老师帮忙洗不用动，随后就坐床上等候老师过来，老师过来后躺我身边，我是先品尝一下🐻随后轮到老师来服务舔咪，深喉，👅打转什么都会，差点交代，随后让老师停，老师先是女上，还掐脖子是有点s倾向，随后把老师压在身下边猛攻边🐍老师也是很紧用不了多久就出水了，接下来去🛀也是老师帮忙洗不用自己动手，感觉挺好的，接下来不出意外会反食 我的评价是：嫩是真的嫩，个人觉得挺喜欢的 综】#优缺点：身材很棒，服务态度很好性格也好 合】#人照：9 #芳龄：18 锐】#胸围：B #身…
开课咯 哥哥们 可以约哦🫰
南宁科技大学修车老师榜单 南宁科技大学修车公开群 南宁科技大学修车出击表 【验证留名】：Jane Bd 【老师花名】：小七 【联系老师】：👉点击直达老师👈 【人照得分】：9 【颜值得分】：9 【身材得分】：9 【服务得分】：9 【态度得分】：9 【环境得分】：8 【验证时间】：2026-06-29 06:28:38 【过程描述】：https://t.me/ffhhhhdddr 看了世界杯过半 心情不美丽 刷到了小七在线想着放松放松 开门小姑娘一个 人照8.5-9分吧 不冷场 聊着挺不错 服务各项都挺不错的 算是很优质的小姑娘了 口技很棒👍👍👍 【综合评价】：优 【预约截图】：已上传 【报告提交】：@xiuchennbot
Sticker, posted without a caption
开课咯
回来了 哥哥们 可以约咯❤️
端午节快乐🎉东葛路 正常开课哦👙
谢谢哥哥的好评❤️
❤1
Showing the 12 most recent of 19 posts we hold for @ffhhhhdddr. 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 — 1,103,654 of 1,345,403entries 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“❤小七的日常” (@ffhhhhdddr), 818 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ffhhhhdddr.
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.