Video, posted without a caption
👍5

Channel
@balabalabalabalabalabalabalabala
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
221subscribers
+8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002018232620 |
|---|---|
| Type | Channel |
| Username | @balabalabalabalabalabalabalabala |
| Created | Between 1 November 2023 and 31 May 2024— 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/balabalabalabalabalabalabalabala |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:18 | 221 | +8 |
| 8 Aug 2026, 10:50 | 213 | no change |
| 7 Aug 2026, 18:13 | 213 | first reading |
18 posts held, back to 31 July 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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 18 (31 July 2026 – 7 August 2026) |
| Views total | 2,984 |
| Reactions total | 164 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 10:50 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 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.
164 reactions across 18 posts, in 18 distinct kinds. The most used accounts for 45.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 74 | 45.1% | |
| 😭 | 16 | 9.76% | |
| ❤ | 15 | 9.15% | |
| 🤔 | 11 | 6.71% | |
| ✍ | 10 | 6.10% | |
| 🤓 | 8 | 4.88% | |
| 👍 | 6 | 3.66% | |
| 😇 | 6 | 3.66% | |
| 😨 | 6 | 3.66% | |
| 😁 | 2 | 1.22% | |
| 😱 | 2 | 1.22% | |
| 🥴 | 2 | 1.22% | |
| 💯 | 1 | 0.61% | |
| 😎 | 1 | 0.61% | |
| 😴 | 1 | 0.61% | |
| 🤗 | 1 | 0.61% | |
| 🤨 | 1 | 0.61% | |
| 🫡 | 1 | 0.61% |
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 18 of the 18 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 164reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 31 July 2026 to 7 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.
Video, posted without a caption
👍5
我非常喜欢使用人工智能。每天早上,我都打开威艾斯-代码,启动微软副驾驶员。我还可以运行奇米代码,来尝试和国内最先进的大模型奇米-三聊天和完成工作。大模型们输出的词元都很聪明,还有的大模型可以生成图片!所以我觉得词元这个词汇未免有些狭隘,我提议不如干脆叫它新智元。当运行重复性工作时,廉价的深度求索-威四-闪电就能大展身手。我看着智能体们工作,喝一口凉白开,很难想象世界已经变化了这么大。这一切都源于几年前,聊天-生成式预训练变换器出现的那一刻
🥰4😱2❤1
为什么炒股可以省空调钱?因为心拔凉拔凉的
😭10
你这个坏蛋还说我,我问你谁最可爱的时候,你为什么要犹豫,我不就是想看你夸夸我嘛,我又有什么坏心思,你第一时间没有回答我,我肯定会伤心的呀。这有什么问题呢?这也要说我在闹,我要是不这样,你这个木瓜脑袋,能想到随口夸我两句吗?道理什么的我都懂,我又不是小孩子。还不是因为你 你才是最坏的那个,愣着干嘛?没看到我很伤心吗?
🥰11🥴2
力的作用是相互的,为什么我主动找他的时候,他却不主动来找我呢,因为我没有质量 地球上的水循环了46亿年,那我淋的雨里会不会有他的眼泪 水果店老板问我,喜欢成熟的还是生嫩的,我说自己喜欢青涩可爱的 服装店老板问我,喜欢休闲的还是商务的,我说喜欢真心爱我的 交警问我为什么闯红灯,我说我爱你有种左灯右行的冲突 奶茶店老板问,要三分甜还是七分甜,我要没你味道的甜 花店老板问,要红玫瑰还是白玫瑰,我说要你当初不肯收下的那束
🤓8🥰2😴1
商鞅是不是古代的马撕克🧐
😨6✍2
原来我只是在做梦,可是,这种幸福感,为什么会这么真实,是我太渴望幸福了吗?睁开眼睛的一瞬间,所有温暖全部消散,只剩下空荡的房间和冰冷的现实,我坐了很久,还是没缓过来,没有真实发生过,却记得那么清楚,原来人的情绪从不会骗人,心里缺失什么,梦里就会弥补什么
😭6🤗1🤨1
我为什么喜欢你?这个问题我问了自己很多遍。我不知道答案,我只知道你不在的时候,我只能无聊的刷着手机等你的消息。我总会想到你,什么事都想跟你分享,想和你多说说话,想每天都能看到你。和你待在一起的时候,哪怕什么都不做,就只是看着你发呆,我都觉得这个世界上的烦心事与我无关,因为那个时候我真的很幸福
🥰7❤1
你的推理好厉害,有什么秘诀? 是很强的逻辑思考能力? 是足以一往无前的好运? 还是细致入微的观察与联想? 亦或是具备毅然解决问题的勇气与耐心? 不是,你说的穷举法是什么意思?
🥰6💯1
幸福的秘诀是 拥有苹果时只在意苹果
🥰13🤔1
“你给所有人都带了礼物,可是你的呢?” “我早用了。” “用在哪?” “用来见你们了。”
❤7🥰5
相遇的意义是,被你改变的那部分我,代替你永远和我站在一起。
🥰7👍1🫡1
Showing the 12 most recent of 18 posts we hold for @balabalabalabalabalabalabalabala. 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 — 797,449 of 1,548,671entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
“小思の小空间” (@balabalabalabalabalabalabalabala), 221 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/balabalabalabalabalabalabalabala.
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.