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Channel

Rachel 碎碎念

@RachelBlahblah

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,936subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001102156424
TypeChannel
Username@RachelBlahblah
Created25 March 2017measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged3 times, most recently 15 August 2026
On Telegramt.me/RachelBlahblah

Growth

1,9341,9361,9356 August 2026 — 1,935 subscribers6 August 2026 — 1,935 subscribers6 August 2026 — 1,934 subscribers9 August 2026 — 1,936 subscribers6 August 20269 August 2026
4 measurements spanning 4 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,934–1,936 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 13:211,936+2
6 Aug 2026, 16:521,934-1
6 Aug 2026, 06:341,935no change
6 Aug 2026, 00:211,935first reading

Engagement

20 posts held, back to 28 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
34.8%
avg views ÷ 1,936 subscribers
Avg views / post
673
5 posts measured
Reaction rate
0.563%
reactions ÷ views · ER floor
Posts in window
5
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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held20 (28 May 20264 August 2026)
Views total3,365
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:13 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

Video runtime
8s
Average length
8s

Measured directly from 1 video 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

166 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 29.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰4929.5%
4527.1%
😁3923.5%
😭137.83%
🕊74.22%
🍓63.61%
😢42.41%
🐳10.602%
😱10.602%
🤣10.602%

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 19 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 166reactions 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 28 May 2026 to 4 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

4 Aug 2026, 04:48 UTC341 views5 reactionsread 7 August 2026
Photo

看完《直到大地变成一颗酸橙》的剧情了! 想起前几天在嘉年华上见到的 coser、参加的活动,和认识十年的好朋友们一起,从全国各地奔赴上海,在场馆的角落、舞台的下方或是酒店的桌边席地而坐,拆场贩、看演出、抽卡,返程的路上,再享受活动剧情里少女们的夏日公路旅行,随着《连烦恼也融入天空》欢快的电吉他旋律,看到最后安洁莉娜写下的文字,直到现在再回味依然会掉眼泪,这可真是当之无愧的顶级夏天了: 从我想说的话挤满了信纸,再也写不下一个字的那一刻起ーー ーー我就会向你飞奔而来。 《连烦恼也融入天空》 网易云音乐

🥰5

Signed Rachel 🐨

29 Jul 2026, 03:51 UTC633 views0 reactionsread 7 August 2026
Photo

手机里有一款上线就送一个大保底的游戏

Signed Rachel 🐨

25 Jul 2026, 16:00 UTC822 views5 reactionsread 7 August 2026

和同学连麦看明日方舟夏活前瞻,看到森空岛活动介绍完,正准备说是不是该下线,结果屏幕一黑、洁哥 EP 突然出现,几声柔和的《秋绪》旋律后,超有活力地转入《酸橙色信笺》,看着屏幕上大家的回忆,看着熟悉的角色在生活中出现的点滴 想到我们也曾在这样仿佛永无终结、却早已离我们而去的夏季,吃着甜品打发时间、玩着游戏等待明天,如今已是数年以前;而在七月末这个上班间隙的短暂周末里,几个大男孩仿佛又呼吸到那些夏日的慵懒气息,打着电话哭成一团 这真是最适合信使的 EP 了,真想玩一辈子明日方舟啊😭😭 https://www.bilibili.com/video/BV1nB3u6tEHD/

🥰4🤣1

Signed Rachel 🐨

23 Jul 2026, 02:18 UTC699 viewsread 7 August 2026

拍得真好!在上班的那些短暂周末里,原来也可以开启一段新的冒险 那场改变我们人生的冒险 https://b23.tv/BV1jbKa6NEDW #有意思的视频

Signed Rachel 🐨

18 Jul 2026, 09:10 UTC870 views5 reactionsread 7 August 2026

已严肃收看《明日方舟》2026「音律联觉-昔时我见」官方录播 《枯枰竞》在 0:30:20,紧接着就是《相见欢》,我直接哇哇大哭 https://www.bilibili.com/video/BV12pNo6HEFa/

😢4🥰1

Signed Rachel 🐨

13 Jul 2026, 15:08 UTC912 views3 reactionsread 7 August 2026

真的好喜欢这版《屑屑》!就像一群好朋友下班后一起坐进清吧,没有力气狂欢,但是没有关系,只需要很放松地举起酒杯,和朋友们 chill 在一起🥺我调理不好我一直在哭,我好想回到学生时代那些慵懒着和朋友们喝酒聊天的晚上啊😭😭😭 为自己喝彩 🎉 生活里兑一点慵懒 😴 比较是会夺走幸福的海盗船 🏴‍☠️ 我躺在沙滩偏偏不想出海 🏖 给我个 high five 🙌 没有被负能量毒害 🤗 谁说圆满的人生才能算圆满 🗣 冰雕还是冰渣子 ❄️ 都会融化流入大海 🌊 https://www.bilibili.com/video/BV1xyNy6UEJm/

🥰21

Signed Rachel 🐨

13 Jul 2026, 03:56 UTC753 views3 reactionsread 7 August 2026

还想多夸一句鹰角,到处约独立乐队给粥游 / 终末地供曲,对乐队来说真是很好,可以把这些 live house 专场票都不一定能卖完的乐队,带到虹馆甚至梅奔这种超级大的舞台 上上次听 Return to Sender 在 live house 演《枯枰竞》前聊天的时候就提到这个,说梅奔对他们来说真是此生难得的舞台,很感动;上次去疆进酒听 THE EITHER 也是,现场比较空、可能来了不到一半,但《daydaydream》和《随意随意呀》的氛围非常好,他们给鹰角写了几次音律 EP 曲了,真希望看到他们有更好的发展;最后就是这次的 8:48,虽然 BML 本质演唱会、《万象将醒》不全是 8:48 写的,但能感受到阿澜很激动,我也是 一想到音律联觉的票我死活抢不到,那还是有点伤心,Return to Sender 和 8:48 也没来北京开专场,更伤心了

🥰2🐳1

Signed Rachel 🐨

13 Jul 2026, 03:46 UTC676 views1 reactionsread 7 August 2026

BML 现场版的《万象将醒》来了! 看到阵容的那一刻就开始期待,8:48 - 阿澜Alan 这位嘉宾是要唱什么呢真是好难猜呢,昨晚现场果然够爽够劲,可惜周围就我一个人在跟着唱,关注八点四十八乐队喵关注八点四十八乐队谢谢喵 https://b23.tv/BV1snTd6QEnK

🥰1

Signed Rachel 🐨

11 Jul 2026, 06:22 UTC694 views7 reactionsread 7 August 2026
Photo

惊了,在大陆居然也能收到 Google 的台风预警,第一次见到,到上海没多久就收到了

🕊7

Signed Rachel 🐨

7 Jul 2026, 14:12 UTC898 views3 reactionsread 7 August 2026

《魔法使之夜》剧场版定档 2026 年 11 月 20 日在日本上映!!急急急能不能一棍子给我打晕到上映再醒来 可惜我看不到,而且我还不懂日语,真是难过 https://www.youtube.com/watch?v=cvnBsqagQxY

2🥰1

Signed Rachel 🐨

6 Jul 2026, 02:19 UTC776 views14 reactionsread 7 August 2026
Forwarded from @MiaoTonyChannelPhoto

Photo, posted without a caption

😭13🥰1

Signed Rachel 🐨

3 Jul 2026, 15:48 UTC≈1,100 views19 reactionsread 7 August 2026
Photo

数年之后的今天,我早已不再和高中一样、动辄刻骨铭心,却把喜欢一个人一千天的感觉,刻进了自己的本能反应;而十年前我爸说的话,像是回旋镖般,击中了今天的自己。 不知不觉地《两年异地间,走入一千天的感情》: https://blog.rachelt.one/articles/one-thousand-days/

🥰19

Signed Rachel 🐨

Showing the 12 most recent of 20 posts we hold for @RachelBlahblah. 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 — 340,678 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.

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.

Mentions

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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Rachel 碎碎念” (@RachelBlahblah), 1,936 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/RachelBlahblah.

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.