再苦再累也要堅持 好像也沒有選擇的餘地

Channel
🎧:吃飯睡覺打豆豆 🌱
@qiqi1869
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
264subscribers
-7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001622505643 |
|---|---|
| Type | Channel |
| Username | @qiqi1869 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/qiqi1869 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 18:56 | 264 | -2 |
| 21 Aug 2026, 07:07 | 266 | -2 |
| 14 Aug 2026, 16:25 | 268 | -3 |
| 8 Aug 2026, 08:48 | 271 | no change |
| 7 Aug 2026, 10:18 | 271 | first reading |
Engagement
20 posts held, back to 8 March 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 25 October 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 26s
- Average length
- 13s
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
53 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 67.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 36 | 67.9% | |
| 👍 | 6 | 11.3% | |
| 👌 | 4 | 7.55% | |
| 🤣 | 3 | 5.66% | |
| 🥴 | 3 | 5.66% | |
| 🥰 | 1 | 1.89% |
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 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 53 reactions 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 8 March 2025 to 25 October 2025, 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
永遠只有自己最心疼自己....
❤2
無論何時,請做一直快樂小狗吧~
❤3👍1🥰1
總說要做最真實的自己,但是我要是完全做自己那你一定受不了吧 哈哈
今年的七夕你還是一個人嗎? 今年的氣息真的不安排特別一點嗎?
❤5
不熟練就是最好的防偽標識 哈哈哈哈哈哈
omg 到底想幹嘛 情書已經寄到我家樓下 寫個告白都說的結結巴巴 還有那些雷人的話 救命啊 別折磨我啦 出門收到康乃馨一大把 你是想怎樣啦 還來不及說話 心裡對你已經徹底膜拜啦 大叔啊求求大叔啊 不要吧不要吧知道啦 哎呀你說啊你說啊 你說的話豬它都笑啦 大叔啊哎哎大叔啊 難道九九乘法表不會背嗎 哎呀你說啊你說啊 用戀愛公式解讀的話 幸福會不會嘔啪
❤1
感冒的聲音超難聽.....
Voice message, posted without a caption
❤1
超萌欸~~
❤1
當忘記痛苦之後剩下的才平靜的生活....
沒事的時候總要記得早點睡😪
❤6👍1
Showing the 12 most recent of 20 posts we hold for @qiqi1869. 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
Named by 6 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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“🎧:吃飯睡覺打豆豆 🌱” (@qiqi1869), 264 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/qiqi1869.
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.