Telegram RegisterThe public register of Telegram
Telegram profile photo for 新浪TV | 杜洛夫爱好者

Channel

新浪TV | 杜洛夫爱好者

@svipdaddy

2 usernames

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

547subscribers

-302 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-1003641689633
TypeChannel
Usernames@svipdaddy @xijlnping
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live25 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/svipdaddy

Growth

5461,0027747 August 2026 — 849 subscribers8 August 2026 — 849 subscribers14 August 2026 — 861 subscribers16 August 2026 — 867 subscribers20 August 2026 — 1,002 subscribers24 August 2026 — 546 subscribers25 August 2026 — 547 subscribers5477 August 202625 August 2026
7 measurements spanning 17 days, net -302. 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 478–1,070 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 00:42547+1
24 Aug 2026, 17:35546-456
20 Aug 2026, 19:361,002+135
16 Aug 2026, 15:15867+6
14 Aug 2026, 18:16861+12
8 Aug 2026, 01:19849no change
7 Aug 2026, 13:07849first reading

Engagement

17 posts held, back to 1 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.1%
avg views ÷ 547 subscribers
Avg views / post
143
16 posts measured
Reaction rate
5.87%
reactions ÷ views · ER floor
Posts in window
17
of 17 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held17 (1 August 20267 August 2026)
Views total2,282
Reactions total134
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:19 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

134 reactions across 17 posts, in 12 distinct kinds. The most used accounts for 79.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁10679.1%
😱96.72%
custom 622663649959766187153.73%
🍾32.24%
custom 546078478351047816721.49%
🤡21.49%
🤩21.49%
custom 493144823628510109110.746%
🎉10.746%
💔10.746%
😢10.746%
😨10.746%

Custom emoji. 3 of the rows above are 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 counts beside them areTelegram’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 17 of the 17 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 134reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 1 August 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.

Recent posts

7 Aug 2026, 09:58 UTC55 views3 reactionsread 8 August 2026
Photo

我们需要一部禁止有害性爱机器人的法律 更新于 2021 年 6 月 8 日 13:04 发布于 2019 年 2 月 20 日 06:10 “性爱机器人”和“性爱娃娃”强化并正常化了将女性物化的观念,也使男性对女性的暴力行为正常化。 瑞典妇女游说团体 Roks 和 Unizon 指出,现在是时候制定更严格的法律了,以防止新技术复制剥削女性身体的价值观。 辩论者指出,许多机器人被编程为表现出抵抗状态,以便与机器人发生性关系的男性能够实现其强奸幻想。 图片:EPA 全屏打开图片

🤡2🤩1

Signed 自由東亞之聲

6 Aug 2026, 08:14 UTC102 views2 reactionsread 8 August 2026
Photo

机器人性爱:É caso para dizer “Oh Emma!!!” 帖子作者:安东尼奥·索萨 发表文章:2019 年 10 月 10 日 帖子类别:好奇心 帖子评论:Nenhum 评论 艾玛和性爱机器人是深圳阿塔尔智能机器人科技有限公司的智能机器人,是中国市场的一个产品,可用于人类的生产。 机器人性爱:É caso para dizer “Oh Emma!!!” 欧洲和中国的主要客户,一家中国企业希望推出一些成人产品和成人产品,并在整个过程中为生活带来动力,并希望与他们建立爱情关系,但这一点很困难。 陈先生是机器人技术的所有者,他与 EPA 机构联系,以提供有关性问题的最佳解决方案。第二段,作为中国的菜鸟,第二段的故事发生了,并且现实中没有任何兴趣。 艾玛和机器人之间有什么不同吗?据我所知,身体传感器和温度调节器的高级控制能力可达到 37 格,可模拟人体热量。人造贝利是一种柔软的材料,具有弹性,是无生气的物体。各

🤩1😁1

Signed 自由東亞之聲

6 Aug 2026, 07:00 UTC112 views7 reactionsread 8 August 2026
Photo

扮演大佐英魂上身是要付出代价的,可怜的

😁7

Signed 我 是神友

6 Aug 2026, 06:49 UTC100 views6 reactionsread 8 August 2026
Photo

满洲灭亡力

😁5😢1

Signed 我 是神友

5 Aug 2026, 03:14 UTC131 views8 reactionsread 8 August 2026
Photo

这下小共同体了

😁8

Signed 我 是神友

5 Aug 2026, 03:11 UTC122 views10 reactionsread 8 August 2026
Photo

给广猴吃美了

😁7😱3

Signed 我 是神友

4 Aug 2026, 09:51 UTC149 views18 reactionsread 8 August 2026

浪腊肉:新浪 人民 共和国 今天 成立了

😁13custom 54607847835104781672😨1custom 49314482362851010911custom 62266364995976618711

Signed 陶喆 David Tao

4 Aug 2026, 09:35 UTCviews —7 reactionsread 8 August 2026

Posted without readable text

😁5custom 62266364995976618712

4 Aug 2026, 05:31 UTC217 views11 reactionsread 8 August 2026
Photo

习近平派人烘烤我的逼

😁9custom 62266364995976618712

4 Aug 2026, 04:04 UTC144 views4 reactionsread 8 August 2026

https://x.com/nytchinese/status/2082088696426484139?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2082088696426484139%7Ctwgr%5E%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fh.pincong.rocks%2F 是在集中营里辉绿绿崽子把鸡巴辉痛了么,太痛苦了

😁4

Signed 我 是神友

2 Aug 2026, 14:37 UTC216 views11 reactionsread 8 August 2026
Photo

这下不得不支持台巴回归了

😁11

Signed 我 是神友

2 Aug 2026, 14:25 UTC172 views7 reactionsread 8 August 2026
Photo

英支新晋的绿教和印度老贵族们可以不出国享受器官服务了

😁4😱3

Signed 我 是神友

Showing the 12 most recent of 17 posts we hold for @svipdaddy. 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 — 565,094 of 1,628,524entries 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.

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

“新浪TV | 杜洛夫爱好者” (@svipdaddy), 547 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/svipdaddy.

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.