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Telegram profile photo for 塔街

Channel

塔街

@helenQxQ

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

416subscribers

+12 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002630729500
TypeChannel
Username@helenQxQ
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/helenQxQ

Growth

4044164106 August 2026 — 404 subscribers6 August 2026 — 404 subscribers7 August 2026 — 405 subscribers14 August 2026 — 416 subscribers6 August 202614 August 2026
4 measurements spanning 8 days, net +12. 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 402–418 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:19416+11
7 Aug 2026, 08:41405+1
6 Aug 2026, 19:33404no change
6 Aug 2026, 14:16404first reading

Engagement

12 posts held, back to 3 August 2026the 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 · 30 days
18.5%
avg views ÷ 416 subscribers
Avg views / post
77.2
12 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 3 of 12 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 6 August 2026
Posts held12 (3 August 20266 August 2026)
Views total926
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:33 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.

Reaction mix

3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
266.7%
🥰133.3%

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 3 of the 12 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 3 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.

Recent posts

6 Aug 2026, 14:18 UTC23 viewsread 6 August 2026
Photo

最近我已经在街上听过114514次“蒸馏”了,不是人对人的对聊,就是人在打电话时说,真就全民大炼钢。

6 Aug 2026, 04:31 UTC38 viewsread 6 August 2026
Video

最危险的哲学电影:《纽约提喻法》全解析,它才是「后室 」的前传 本期无意成为电影所有隐喻意向的考据资料,而是展示一种分析与理解的方式,一种主体观和哲学观 ▎Source

4 Aug 2026, 14:56 UTC66 views1 reactionsread 6 August 2026

同样是石材……何院士想象中的金融城就是这效果吧😇

1

4 Aug 2026, 14:55 UTC61 viewsread 6 August 2026
Photo

多哈城建 #多哈 #卡塔尔 #建筑 #建筑设计 ▎Source

4 Aug 2026, 08:36 UTC67 viewsread 6 August 2026
Video

【上了班才知道他演的有多像】 🔗 原文链接 ✨ K3 总结

3 Aug 2026, 14:00 UTC78 views1 reactionsread 6 August 2026

我昨天去看了这电影,确实不错 昨天去超市买打折烧鸡,买完才发现此前有桌子的地方被围起来,变成一家新店在装修了,天塌了,我只能坐在公共长椅上吃

🥰1

3 Aug 2026, 13:59 UTC81 viewsread 6 August 2026
Forwarded from @e1cf53485f904e2e84034d45149e717cPhoto

我真的觉得我很久没有看过一个节奏正确、引人入胜的新电影了,这是这段时间的第一部。虽然我对着一个商业片说这种话有点奇怪,但我觉得在当前电影行业普遍网剧化的当下,这应该是对这部电影最大的褒奖。你很明显能看得出这就是电影原教旨主义者的作品。而且它所谈论的东西我觉得也开始从个人英雄主义开始有了一些松动,你可以说在某种程度上在迎合市场,但我觉得按论迹不论心的理论来说的话,确实可以鼓励一些需要帮助的人向他人倾诉。 总之就是,真的还可以.jpg

3 Aug 2026, 05:14 UTC179 viewsread 6 August 2026
Video

独立科幻短片《茉莉与艾蒂》制作进行中|欢迎光临空中港口Daisy咖啡厅! 茉莉与艾蒂这个短片还正在制作中,这是短片的第一个镜头,大部分的工作都是由我和我先生独立完成的,包括早期的分镜,人设,场景设计,载具设计,三维辅助,一原,场景的绘制,后期合成。另外一部分的二原,加动画,上色的工作是由一些做动画的小伙伴们完成的。这个账号之后会不定期跟大家分享短片的制作进度,希望大家可以喜欢~如果大家对动画的制作感兴趣,我们之后也会进行一些短片制作过程的分享~ ▎Source

3 Aug 2026, 04:59 UTC92 viewsread 6 August 2026
Photo

广州版90S City pop City pop版的小蛮腰和猎德大桥,洋气这块我们广州也没输过[赞R][赞R] #繁华都市霓虹 #闪回千禧年代 #Citypop #我爱的城市自带BGM #小蛮腰 #猎德大桥 #复古插画 #夜景 #审美 ▎Source

Showing the 12 most recent of 12 posts we hold for @helenQxQ. 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 — 396,410 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

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.

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.

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.

“塔街” (@helenQxQ), 416 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/helenQxQ.

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.