反差女 🔥李汪洋🔥 开课啦

Channel
长沙大鹏扶贫日记
@csfupin005
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,640subscribers
+98 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002268051809 |
|---|---|
| Type | Channel |
| Username | @csfupin005 |
| Description | 大鹏因膻中穴异于常人,仁爱之心过于强盛,从小就有一个扶贫梦,长大以后发现了自己的渺小,大鹏没有马云的财富,没有中央的职权,逐渐明白,扶贫也能以另外一种方式存在。 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/csfupin005 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 23:55 | 13,640 | +25 |
| 13 Aug 2026, 15:35 | 13,615 | +13 |
| 12 Aug 2026, 13:07 | 13,602 | +26 |
| 11 Aug 2026, 09:58 | 13,576 | +23 |
| 10 Aug 2026, 06:54 | 13,553 | +7 |
| 9 Aug 2026, 09:12 | 13,546 | +4 |
| 9 Aug 2026, 06:30 | 13,542 | first reading |
Engagement
16 posts held, back to 13 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 12 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 36.3%
- avg views ÷ 13,640 subscribers
- Avg views / post
- 4,960
- 6 posts measured
- Reaction rate
- 0.122%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 16 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 10 August 2026 |
|---|---|
| Posts held | 16 (13 June 2026 – 10 August 2026) |
| Views total | 29,730 |
| Reactions total | 34 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 11:14 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
- 23
- Videos
- 7
- Links
- 24
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
- 11s
- Average length
- 6s
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
60 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 91.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 55 | 91.7% | |
| 👍 | 2 | 3.33% | |
| 👏 | 2 | 3.33% | |
| 😁 | 1 | 1.67% |
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 14 of the 16 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 13 June 2026 to 10 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
纯欲女神 🔥 江幼宁 🔥 开课啦
❤1
疯狂戳我 点击联系 — 温听雨
❤7👍2
清纯女神 🔥南宫·心语🔥开课啦
❤1
欲望女神 🔥 小白 🔥开课啦
❤2
2.《她是个小色胚子》 电影开播,一开始挺正常的一个古装电影,可是看着看着画面开始变得不对,小鹏才恍然大悟,这是一个古装三级片,听雨的骚操作震惊了小鹏的三观,小鹏只觉脑中“轰”的一声,然后一片空白........ “鹏哥,看她们好像很舒服的样子,要不我们也来试试。”听雨涨红的脸,露出一脸调皮的笑。 小鹏只觉天塌了,正要呵斥她关掉这种少儿不宜的东西 ,等他爸妈回来肯定打死她,说时迟,那时快,听雨的嘴唇直接将我的小嘴覆盖,小鹏瞬间全身僵硬,好似触电般无法动弹,正不知如何是好时,她居然将舌头伸进了我的嘴里,吓得我浑身一哆嗦,内心一万只草泥马掠过,一种极其不适合的感觉席卷了我的大脑,正当我要有所动作时,听雨伸手摁住我的头,对!强吻!法式强吻!!!心中大喊:“老子脏了,脏了,不干净了。” 大概一两分钟后,听雨松开了手,小鹏一时不知道说什么好,强忍着难受,心中翻江倒海般起伏,呆呆的看着听雨,只见听雨伸手脱掉我的…
❤19👏2
反差女 🔥李汪洋🔥 开课啦
❤1
1.《初见温听雨》 选错了就选错了 别一遍一遍地后悔 总寻思着如果当初怎么怎么样就好了 请你别高看当初的自己 就算重新来 以当时的阅历和心态 你还是会选择那条不完美的路 所以,不要去美化那条你没有选过的路 人生没有白走的路 对错都算数 您脚下的这条路就是最好的路 没有永远正确的选择,要把选择变得正确 我仍然记得,那年,我 14 岁,发育的比较晚,在同年人当中属于矮小的,父母经商经常出差,把我一个人留在家里,自己做饭,自己上学,自己睡觉,时常会感到无比的孤独与悲凉,这也许就是我为什么心理年龄比一般人要大的原因吧,但也导致我很长一段时间的内向、自卑且内心一股子怨气,不过最让我欣慰的是,那一年,我家隔壁搬来了一户人家,就那么突然的出现在了我的生活里,那时的我,懵懂、恍惚,只知道,新邻居家的女儿真的很漂亮,美到让我不敢与其直视,精致的五官,纤瘦的身型,在我还不知道爱情为何物的年纪,我遇见了我臆想中的梦中女神....... …
❤10
大鹏回忆录第十一章 白月光 —- 温听雨 点击联系—温听雨
❤2
女神 🔥 思思 🔥 回来开课了
欲望女神 🔥 江幼宁 🔥开课啦
❤1
预告篇: 新任女主,蓄势待发,世人皆爱晴光,唯有温听雨,独恋一夜檐下雨声。少时历经家中变故,尝过人世冷暖,便习惯将心事付与雨声,不喜倾诉悲苦。看似与世无争,实则看得明白世事沉浮,危难之时从不会怯懦退缩。
❤4
Showing the 12 most recent of 16 posts we hold for @csfupin005. 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
Citation-graph rank — 204,627 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.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“长沙大鹏扶贫日记” (@csfupin005), 13,640 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/csfupin005.
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.