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Telegram profile photo for Doro Kernel [注意频道置顶]

Channel

Doro Kernel [注意频道置顶]

@vip_doro

2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

21,937subscribers

+3,636 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002712081139
TypeChannel
Usernames@dorodxe @vip_doro
Description频道主: @vip_sg78 认准: @Doro789 @vip_Doro 我们的项目:王者/和平/三角洲/无畏契约 我们不搞直装
Created14 July 2025 — measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held130
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/vip_doro

Topic

Giveaways & airdrops — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 43% 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 the other topics.

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 in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 54 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@vip_doro/17862 · this entry13 Aug 2026, 11:41 UTC@sdjyyds666/4282714 Aug 2026, 19:05 UTC1.0031 hours
@vip_doro/18054 · this entry15 Aug 2026, 04:40 UTC@sdjyyds666/4283115 Aug 2026, 05:44 UTC1.0064 minutes
@vip_doro/18306 · this entry17 Aug 2026, 04:57 UTC@sdjyyds666/4288817 Aug 2026, 10:22 UTC1.005.4 hours
@vip_doro/18378 · this entry17 Aug 2026, 19:06 UTC@sdjyyds666/4291218 Aug 2026, 07:17 UTC1.0012 hours
@vip_doro/19035 · this entry23 Aug 2026, 15:40 UTC@sdjyyds666/4306123 Aug 2026, 15:40 UTC1.00under a minute
@vip_doro/16958 · this entry5 Aug 2026, 08:10 UTC@xbnb6661/3743720 Aug 2026, 11:17 UTC1.0015 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@sdjyyds66616 (8/8 hand-verifiable sample passed)1.005.4 hoursthis entry (16–0)
@xbnb666111 (8/8 hand-verifiable sample passed)1.0015 hoursthis entry (11–0)

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 0 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 194 comparable posts for this entry, running 30 January 2026 to 12 November 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).

Of the group of 54 channels, the one whose matching posts we hold earliest is @LMGWJWD. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 13 November 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.

Channels linked by matching posts

This channel is in a group of 54 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

Keep
@AILD888 · Channel
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@PT520A · Channel
77,570 subscribers
傲寒主频道(长期公益🇨🇳)
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Sakura主频道(注意置顶)
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❤️公益辅助分享❤️
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浪漫内核分享频道[公益破解][软件分享][免费代理]
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44,343 subscribers
殇璃破解频道
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小月公益直装内核和平&PUBG&三角洲
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冷漠改文件官方主频道
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34,071 subscribers
温柔泛滥改文件频道
@yannb6 · Channel
32,654 subscribers
CG范围代理频道
@BaiLUOXUEGWJ · Channel
32,267 subscribers
森岛官方频道(冲35k)
@SDMOD520 · Channel
31,987 subscribers
️小黄改文件主频道🇨🇳
@ASXH8 · Channel
29,869 subscribers
苏七公益分享频道[文件泛滥][公益破解][软件分享]🇨🇳
@HUIYIYYDS6 · Channel
29,079 subscribers
三角洲内核频道
@XiaoxueVkernel6 · Channel
27,381 subscribers
HYUN官方频道(冲30k)
@PUBGHYUN · Channel
25,656 subscribers
大雾美化主频道
@dwsg686 · Channel
25,610 subscribers
A内核 公益官方频道
@as797i2 · Channel
24,542 subscribers
神南内核辅助破解(和平王者CFM暗区使命无畏三角洲PUBG内核)
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22,959 subscribers
Bing(有问题先看0714置顶)
@nullnb62 · Channel
22,843 subscribers
殇龙游戏科技
@bmnb78 · Channel
19,735 subscribers
巴巴托斯公益内核频道
@BBTSNHNB1 · Channel
19,572 subscribers
MoseDust端口【官方频道】
@SHENYUANNB888 · Channel
19,095 subscribers
Dra-内核通知频道
@Drabanl6 · Channel
18,011 subscribers
小露分享主频道🇨🇳
@LMY1015 · Channel
15,811 subscribers
公益资源分享频道🇨🇳
@SNGF666888 · Channel
14,890 subscribers
AS Game 官方频道 🇨🇳
@DSCHEAT8 · Channel
14,870 subscribers
百万大家庭
@bjnbYYDS · Channel
14,568 subscribers
光头强公益内核通知频道
@GTQNB003 · Channel
14,189 subscribers
清尘内核🇨🇳公益频道
@lingyunnb · Channel
13,939 subscribers
洛月【王者 和平 公益内核 直装】
@lianbingnb · Channel
13,719 subscribers
千汐美化主频道
@QXMHNB666 · Channel
13,129 subscribers
GR频道
@GRPLYYDS · Channel
12,949 subscribers
风云の小窝
@FYNB2 · Channel
12,626 subscribers
小月改文件官方主频道🇨🇳
@apple666o · Channel
12,290 subscribers
冷淡魔术快斗官方
@LDGWJ · Channel
11,964 subscribers
北冥改文件官方频道
@bmgwjnb · Channel
11,438 subscribers
黑雪三角洲主频道
@HeixuePD6 · Channel
9,665 subscribers
全网收集破解泛滥公益改文件&官方频道
@qwgwj666 · Channel
8,761 subscribers
残念改文件副频『主频道看简介』
@xbnb6661 · Channel
8,275 subscribers
奶龙破解分享频道🇨🇳
@NL666NB · Channel
8,188 subscribers
七夜改文件官方🇨🇳《副频道》
@RUYUANYYDS · Channel
7,928 subscribers
SEVEN公益改文件💤
@sevennb1 · Channel
7,797 subscribers
小信数码互管频道
@sdjyyds666 · Channel
7,672 subscribers
神话公益
@KY6696 · Channel
7,299 subscribers
宇少改文件主频道冲11K🇨🇳
@QYDKNB888 · Channel
6,519 subscribers
清筑改文件主频道[冲10k]
@qingzhu54188 · Channel
5,704 subscribers
EO三角洲官方频道
@vlp_Doro · Channel
4,762 subscribers
冷淡改文件
@HENBnb · Channel
3,970 subscribers
残念泛滥文件
@Longshen666 · Channel
3,465 subscribers

3 more channels are in this same group but not listed individually here.

Growth

14,20221,93718,069.56 August 202611 November 2026
130 measurements spanning 97 days, net +3,636. 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 13,042–23,097 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 130
Measured (UTC)SubscribersChange
11 Nov 2026, 11:4121,937+1
11 Nov 2026, 07:1921,936+49
9 Nov 2026, 17:0621,887+29
9 Nov 2026, 09:5621,858+116
8 Nov 2026, 06:5821,742+34
8 Nov 2026, 03:0621,708+216
6 Nov 2026, 23:1821,492+13
6 Nov 2026, 22:0721,479+166
6 Nov 2026, 00:2821,313no change
6 Nov 2026, 00:2521,313+46
5 Nov 2026, 02:5521,267no change
5 Nov 2026, 01:4521,267+101
4 Nov 2026, 06:1021,166+20
4 Nov 2026, 01:0721,146+50
3 Nov 2026, 03:3121,096+3
2 Nov 2026, 23:5021,093+54
2 Nov 2026, 02:4921,039no change
1 Nov 2026, 23:4621,039+110
1 Nov 2026, 05:1920,929+155
1 Nov 2026, 00:3420,774first reading

Engagement

393 posts held, back to 14 July 2025 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 79 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.89%
avg views ÷ 21,937 subscribers
Avg views / post
853
114 posts measured
Reaction rate
5.90%
reactions ÷ views · ER floor
Posts in window
114
of 393 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 13 November 2026
Posts held393 (14 July 2025 – 13 November 2026)
Views total97,294
Reactions total5,741
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 18:08 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

Photos
59
Videos
2
Links
6

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 53s
Average length
33s

Measured directly from 7 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

8,351 reactions across 388 posts, in 35 distinct kinds. The most used accounts for 88.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7,37088.3%
❤3333.99%
🥰1451.74%
😍1401.68%
😘820.982%
😭520.623%
🤩360.431%
🖕280.335%
🤓270.323%
🤔190.228%
🍌180.216%
🤡130.156%
🔥90.108%
😡90.108%
👎80.096%
🤬80.096%
🤗70.084%
😁60.072%
😱60.072%
❤‍🔥50.06%
15 further kinds300.359%

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 390 of the 393 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 8,359 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 393 most recent posts we hold, published 14 July 2025 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 114 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 16:21 UTC27 views76 reactionsread 13 November 2026
File

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👍74❤1😘1

Signed 全网收管理 @shaoxu

13 Nov 2026, 16:14 UTC35 views74 reactionsread 13 November 2026

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👍72❤1😘1

Signed 冰雪自动发广机器人

13 Nov 2026, 14:36 UTC264 views88 reactionsread 13 November 2026

愿意陪我到最后的那种

👍85❤1😘1😡1

Signed 张家昊

13 Nov 2026, 14:35 UTC266 views89 reactionsread 13 November 2026

想要个女朋友,诶

👍87❤1😡1

Signed 张家昊

13 Nov 2026, 12:56 UTC401 views106 reactionsread 13 November 2026

失败

👍101❤1👎1🔥1🤓1😡1

Signed 时光

13 Nov 2026, 09:01 UTC524 views91 reactionsread 13 November 2026

凌晨更新三角洲内核

👍87❤1🤬1🥰1😡1

Signed 时光

13 Nov 2026, 08:52 UTC519 views85 reactionsread 13 November 2026
Photo

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👍83❤1😘1

Signed 懒羊羊售后客服

13 Nov 2026, 05:01 UTC75 views50 reactionsread 13 November 2026
Forwarded from @LYYSJH123File

⭐最新破解版数据号上号器,内置官方过滤器,可过滤 和平 手瓦 暗区 火影 王者 😙新增挂机抓号,内置假充值,可配合直播抓号 最新更新屏蔽数据号授权号登录检测 📥网盘下载链接 https://wwaoh.lanzout.com/b011ml9ohc 免费数据号任务点我 免费数据号任务点我 免费数据号任务点我

👍49😍1

Signed 懒羊羊售后客服

13 Nov 2026, 04:14 UTC23 views56 reactionsread 13 November 2026
Forwarded from @XHZZ778

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👍54❤1🤗1

Signed 冰雪自动发广机器人

13 Nov 2026, 02:23 UTC461 views42 reactionsread 13 November 2026

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👍41❤1

12 Nov 2026, 16:13 UTC10 views38 reactionsread 12 November 2026
Forwarded from @XHZZ778

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👍37❤1

Signed 冰雪自动发广机器人

12 Nov 2026, 14:15 UTC93 views67 reactionsread 12 November 2026
Forwarded from @LYYSJH123Photo

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👍64❤3

Signed 懒羊羊售后客服

Showing the 12 most recent of 393 posts we hold for @vip_doro. 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.

Posts edited after publishing

@vip_doro edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
20 August 2026

Posts recorded as deleted after publishing

We recorded 5 posts on @vip_doro as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
3 November 2026
Most recent seen missing
3 November 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
5

Forward network

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 32 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.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Doro Kernel [注意频道置顶]” (@vip_doro), 21,937 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/vip_doro.

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.