Telegram RegisterThe public register of Telegram

Channel

✨绘图大师官方频道✨P图软件✨@huitu_zuantu

@huitudashi5VIP

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

17,503subscribers

-286 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003979576889
TypeChannel
Username@huitudashi5VIP
CreatedBetween 1 April 2026 and 19 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/huitudashi5VIP

Topic

Software piracy — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 59% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@zuantuvi/20414 May 2026, 15:45 UTC@huitudashi5VIP/65 · this entry19 May 2026, 06:55 UTC1.005 days
@huitudashi5VIP/74 · this entry28 May 2026, 10:21 UTC@zuantuvi/20728 May 2026, 10:21 UTC1.00under a minute
@huitudashi5VIP/77 · this entry3 Jul 2026, 04:11 UTC@zuantuvi/2103 Jul 2026, 04:11 UTC1.00under a minute
@huitudashi5VIP/78 · this entry16 Jul 2026, 14:04 UTC@zuantuvi/21116 Jul 2026, 14:04 UTC1.00under a minute
@huitudashi5VIP/79 · this entry21 Jul 2026, 05:48 UTC@zuantuvi/21221 Jul 2026, 05:48 UTC1.00under a minute
@huitudashi5VIP/80 · this entry4 Aug 2026, 19:32 UTC@zuantuvi/2134 Aug 2026, 19:33 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@zuantuvi6 (6/6 hand-verifiable sample passed)1.00under a minuteeven

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 3 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 19 May 2026 to 4 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @zuantuvi. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

17,50317,78917,6467 August 2026 — 17,789 subscribers7 August 2026 — 17,789 subscribers7 August 2026 — 17,754 subscribers8 August 2026 — 17,704 subscribers9 August 2026 — 17,637 subscribers10 August 2026 — 17,563 subscribers11 August 2026 — 17,520 subscribers13 August 2026 — 17,503 subscribers7 August 202613 August 2026
8 measurements spanning 6 days, net -286. 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 17,460–17,832 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:1417,503-17
11 Aug 2026, 22:5217,520-43
10 Aug 2026, 21:3517,563-74
9 Aug 2026, 23:4217,637-67
8 Aug 2026, 21:2017,704-50
7 Aug 2026, 22:1917,754-35
7 Aug 2026, 09:0017,789no change
7 Aug 2026, 08:4817,789first reading

Engagement

19 posts held, back to 19 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.827%
avg views ÷ 17,503 subscribers
Avg views / post
145
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 19 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 4 August 2026
Posts held19 (19 May 20264 August 2026)
Views total434
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 00:31 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
18m 50s
Average length
1m 53s

Measured directly from 10 videos 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 19 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, 19:32 UTC92 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✨增加320+模板,并修复了已知Bug 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗

21 Jul 2026, 05:48 UTC167 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✨已更新50+模板,并修复多个Bug 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗

16 Jul 2026, 14:04 UTC175 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✨已更新200+模板,并新增多个网络节点优化了连接速度 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗👌👌👌👌👌👌👌👌

3 Jul 2026, 04:11 UTC443 viewsread 13 August 2026

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! 👌【近期客户反馈有人员诽谤绘图大师,绘图大师团队在此申明:绘图大师不存在任何后门或病毒,请确保您是在 @pitu 频道中下载的正版软件,同时请各用户定期多次电脑杀毒,避免因下载其他不良软件而导致中毒】

11 Jun 2026, 13:24 UTC≈1,060 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✨素材库可用素材已增加至3000+ 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗

8 Jun 2026, 13:23 UTC788 views1 reactionsread 13 August 2026
File

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 ✨本次更新素材库功能已完善并全面上线,优化了下载速度,修复已知Bug 👌支持网页版/桌面版! 👌支持手机/Mac/Win! 👌支持保存文本内容! 🆗支持一键收藏模版! 🆗支持一键搜索模版! 👌支持一键对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 👌状态栏一比一复刻! 👌支持素材库任选素材! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗

1

28 May 2026, 10:21 UTC693 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 【绘图大师】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✦绘图大师重磅推出素材库功能!该功能已上线并稳定使用! 👌【近期多人反馈被冒充者欺骗,请大家在转账前点击官网的联系客服按钮确认,避免被骗】 💎支持102个交易所:CashappㆍCoinbaseㆍCoinbasewalletㆍCrypto.comㆍCrypto钱包ㆍBinanceㆍBitgetㆍBitget钱包ㆍBybitㆍBybit钱包ㆍImtokenㆍKrakenㆍKucoinㆍLbankㆍNDAXㆍNewtonㆍOkxㆍMetaMaskㆍMEXCㆍStrike钱包ㆍTrustㆍBingxㆍBitflyerㆍBithumbㆍBitkeepㆍBitMartㆍBitoproㆍBitpieㆍBitsoㆍBits

28 May 2026, 10:18 UTC559 viewsread 13 August 2026
Photo

活动仅剩4天! 👌活动截止:2026年6月1日23:59

19 May 2026, 07:25 UTC516 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 🆗新版来袭!【绘图】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✦修复已知Bug! ✦绘图大师重磅推出素材库功能!新功能内测中,即将上线敬请期待! 💎支持102个交易所:CashappㆍCoinbaseㆍCoinbasewalletㆍCrypto.comㆍCrypto钱包ㆍBinanceㆍBitgetㆍBitget钱包ㆍBybitㆍBybit钱包ㆍImtokenㆍKrakenㆍKucoinㆍLbankㆍNDAXㆍNewtonㆍOkxㆍMetaMaskㆍMEXCㆍStrike钱包ㆍTrustㆍBingxㆍBitflyerㆍBithumbㆍBitkeepㆍBitMartㆍBitoproㆍBitpieㆍBitsoㆍBitstampㆍCEX.IOㆍCoincheckㆍCo

19 May 2026, 07:22 UTC155 viewsread 13 August 2026
File

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 ✨修复了已知Bug 👌支持网页版/桌面版! 👌支持一键搜索模版! 👌支持保存文本内容! 🆗支持收藏模版! 🆗支持手机/Mac/Win! 👌支持对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 🆗IOS/安卓状态栏1:1复刻! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗

19 May 2026, 07:21 UTC122 viewsread 13 August 2026
Video

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 🆗新版来袭!【绘图】是一款支持网页版、桌面版的炫富恶搞神器,支持上万模版图片真实度达到1:1,绘图是全网唯一无毒绿色商家! 【请您加入绘图4字频道 @Pitu 人工客服7*24小时在线为您服务! ✦绘图大师重磅推出素材库功能!新功能内测中,即将上线敬请期待! 💎支持102个交易所:CashappㆍCoinbaseㆍCoinbasewalletㆍCrypto.comㆍCrypto钱包ㆍBinanceㆍBitgetㆍBitget钱包ㆍBybitㆍBybit钱包ㆍImtokenㆍKrakenㆍKucoinㆍLbankㆍNDAXㆍNewtonㆍOkxㆍMetaMaskㆍMEXCㆍStrike钱包ㆍTrustㆍBingxㆍBitflyerㆍBithumbㆍBitkeepㆍBitMartㆍBitoproㆍBitpieㆍBitsoㆍBitstampㆍCEX.IOㆍCoincheckㆍCoinoneㆍExodu

19 May 2026, 07:19 UTC101 viewsread 13 August 2026
File

👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗 👌支持网页版/桌面版! 👌支持一键搜索模版! 👌支持保存文本内容! 🆗支持收藏模版! 🆗支持手机/Mac/Win! 👌支持对比原图! 👌支持放大缩小图像! 🆗支持图像模版多开! 🆗IOS/安卓状态栏1:1复刻! 👍🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗🆗

Showing the 12 most recent of 19 posts we hold for @huitudashi5VIP. 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 — 159,213 of 1,169,250entries 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 39 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

《海峡时报》东南亚狗推快讯(曝光)📱‼️
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5 posts
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@sucai_quanqiu1 · 13,473
5 posts
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@fasucai · 10,144
4 posts
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@haixiashibao1 · 13,712
4 posts
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@mggrrdsc233 · 7,830
4 posts
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@sanji_av888 · 9,687
4 posts
海外素材库#日常生活#美食#豪车 taotu renshe
@sucai398 · 36,805
4 posts
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@huashuii8 · 5,427
3 posts
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@taotuio1 · 8,892
3 posts
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@taotuio3 · 8,789
3 posts
全球黑料曝光-吃瓜
@chiguadasheni · 12,161
2 posts
成人小说精选
@sesebooki · 4,727
2 posts
人设套图【亚洲女】
@taotuvip1 · 7,898
2 posts
海外话术素材
@huashui66 · 2,619
1 post
【马来西亚素材】狗推素材|旅游|生活|美食|风景|购物|高清大图| malaixiya renshe taotu
@malaixiyasucai_9k · 18
1 post
疯狂吃瓜|内涵搞笑|
@nasachadang78 · 3,600
1 post
🇮🇳印度素材
@sucai_quanqiu8 · 1,312
1 post
新西兰素材 sucai
@sucaille · 2,745
1 post
美国素材 sucai
@sucaills · 2,562
1 post
新加坡素材 sucai
@sucaillt · 2,718
1 post
韩国素材 sucai
@sucailly · 3,194
1 post
【台湾素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|taiwan renshe taotu
@taiwansucai_4k · 26
1 post
【印度素材】印度尼西亚素材|狗推素材|旅游|生活|美食|风景|购物|高清大图|yindu renshe taotu
@yindusucai_7k · 21
1 post
【英国素材】狗推素材|旅游|生活|美食|风景|购物|高清大图|yingguo renshe taotu
@yingguosucai_6k · 19
1 post

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

“✨绘图大师官方频道✨P图软件✨@huitu_zuantu” (@huitudashi5VIP), 17,503 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/huitudashi5VIP.

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.