Channel
@AkashaTerminal
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
918subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001899189216 |
|---|---|
| Type | Channel |
| Username | @AkashaTerminal |
| Created | Between 1 November 2022 and 30 June 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 6 August 2026 |
| On Telegram | t.me/AkashaTerminal |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 20:25 | 918 | no change |
| 6 Aug 2026, 16:05 | 918 | first reading |
11 posts held, back to 1 August 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 5 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 11 (1 August 2026 – 6 August 2026) |
| Views total | 2,033 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 16:05 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.
22 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 31.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👎 | 7 | 31.8% | |
| 🔥 | 7 | 31.8% | |
| ⚡ | 5 | 22.7% | |
| ❤ | 2 | 9.09% | |
| custom 5165685783989847223 | 1 | 4.55% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 5 of the 11 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 1 August 2026 to 6 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.
https://www.bilibili.com/video/av117020779812086/ 从不同哺乳动物的缩放率切入, 动物的身长增长 10 倍, 体重增长约 1000 倍, 但是能量供给和代谢速度的增长率远慢于此. WBE 等人在上世纪通过纯粹的数学计算, 得出了一系列哺乳动物指标的 Scaling Law. 其中, 动物体型越大, 心跳越慢 (心率与体重的 -1/4 次方成正比) ; 而寿命又与体重正相关 (恰好, 寿命与体重的 1/4 次方成正比); 两者相成, 非常数项正好抵消, 得到了一个常数. 这个常数不难计算, 随便代入几种动物, 均能得到 10 亿次上下的数据. 比如, 同样生活在野外, 大象和老鼠生命的长度, 都约等于 10 亿次心跳. 但是人类并非如此, 自从工业革命, 人类的心跳次数就一路开挂... 后续, 该视频将人类心跳次数的增长趋势与城市化进程 (选取了英国某地区) 的增长趋势叠在一起,…
感谢群友送的 NV 正版周边
🔥7
oxlint 换的慢的小朋友有福了，突然就来了一波广告
感谢群友补充的背景信息: Clash Mi 和 Karing 以及 Clash Party (a.k.a mihomo-party) 的最大 (同时也是唯一) 金主都是 “狗狗加速” 机场，既然已有 Clash Verge Rev (CVD 事件) 和 Clash Mi (偷订阅事件) 开的「偷偷加料」先例，使用这些客户端时请务必保持警惕。 而 Clash Verge Rev (CVR) 不但最大金主是 “狗狗加速” 机场，其核心维护者 “Wonfen” 更是 “狗狗加速” 机场的实际控制人和运维，拥有对 CVR git 仓库的直接 commit 权限，此前加入的 "CVD" 功能完全没有通过 PR/Issue 等形式向开源社区征求过意见，而是 直接 commit 到仓库的 dev 分支 中，如没有正义人士发现，此功能将直接合并到主线中。 很喜欢 Wofen 的一句话，在这里摘录一下: cvd方案暂时搁置，限制用户导出私…
乡下人来坐一下磁悬浮试试
⚡5❤1custom 51656857839898472231
#security
三大运营商，联合官宣涨价！ @章北海official: 发布视频 播放量:13.14 万 弹幕:999 评论:2795 点赞:1.09 万 投币:4319 收藏:2423 转发:1699 发布日期：2026-08-02 18:07:08
👎7
哈哈，我在最边边上被挡完了
Posted without readable text
#面
❤1
chu~chu~chu 星之伊始 星愿 观星者 空想世界的某一天 蝴蝶旅客 海风以南 夏末恋爱 万神纪 间隙 D!scolog（独角兽） D!s!llus!on Signal Scream Solar Storm 地球毁灭的那一刻 生死一舞的爱语 星愿（合唱） 光（合唱） 零和 涟漪 徒劳的爱之美少女 人偶之梦 最终祈愿 当有流星划过夜空 六月的明天 talking to the rain 光 看完了，现在就是后悔，非常后悔。 后悔没有连着买两个场次的。我左边右边两位都是连着买了日场和夜场… 跟着唱得好累🌚
Showing the 11 most recent of 11 posts we hold for @AkashaTerminal. 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 — 203,126 of 1,160,990entries 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.
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 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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Akasha Terminal: dev🍃” (@AkashaTerminal), 918 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/AkashaTerminal.
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.