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Channel

你就说大不大吧

@njiusdbd

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

7,000subscribers

-1,257 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001961219142
TypeChannel
Username@njiusdbd
Description上榜联系: @CN3456 私聊不了联系双向机器人: @CN6789BOT 深圳修车资源榜 https://t.me/LM8969 深圳学生会 https://t.me/SZXSH8 一键快速进深圳所有群 https://t.me/addlist/jxLTSzufnjIwNDE1
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/njiusdbd

Topic

Adult — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 5 other registered channels. This entry also sits inside a group of 15 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
@njiusdbd/1806 · this entry5 Aug 2026, 14:39 UTC@szgkbang/30805 Aug 2026, 14:39 UTC1.00under a minute
@szgkbang/30927 Aug 2026, 05:44 UTC@njiusdbd/1818 · this entry7 Aug 2026, 05:44 UTC1.00under a minute
@szgkbang/311914 Aug 2026, 06:19 UTC@njiusdbd/1823 · this entry14 Aug 2026, 06:28 UTC1.009 minutes
@njiusdbd/1828 · this entry14 Aug 2026, 07:03 UTC@szgkbang/312414 Aug 2026, 07:03 UTC1.00under a minute
@njiusdbd/1834 · this entry23 Aug 2026, 09:48 UTC@szgkbang/313023 Aug 2026, 09:48 UTC1.00under a minute
@njiusdbd/1924 · this entry2 Nov 2026, 11:11 UTC@szgkbang/33212 Nov 2026, 11:11 UTC1.00under a minute
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
@szgkbang11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (7–4)
@banhche8 (8/8 hand-verifiable sample passed)1.00under a minute@banhche (7–1)
@myao1708 (8/8 hand-verifiable sample passed)1.00under a minute@myao170 (5–3)
@shwwen6668 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (5–3)
@DiDiuwoo6 (6/6 hand-verifiable sample passed)1.00under a minute@DiDiuwoo (5–1)

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. 20 of the 24 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 4 August 2026 to 7 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 15 channels, the one whose matching posts we hold earliest is @lhhche. 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 keys clone_copy · clone_mutual, last confirmed 11 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 15 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.

Growth

7,0008,2577,628.57 August 2026 — 8,257 subscribers8 August 2026 — 8,249 subscribers11 August 2026 — 8,175 subscribers14 August 2026 — 8,163 subscribers17 August 2026 — 8,159 subscribers20 August 2026 — 8,141 subscribers24 August 2026 — 8,151 subscribers26 August 2026 — 8,099 subscribers30 August 2026 — 8,020 subscribers2 September 2026 — 7,981 subscribers7 September 2026 — 7,899 subscribers11 September 2026 — 7,771 subscribers15 September 2026 — 7,731 subscribers19 September 2026 — 7,652 subscribers28 September 2026 — 7,445 subscribers6 October 2026 — 7,377 subscribers12 October 2026 — 7,307 subscribers15 October 2026 — 7,255 subscribers19 October 2026 — 7,220 subscribers22 October 2026 — 7,188 subscribers25 October 2026 — 7,166 subscribers28 October 2026 — 7,107 subscribers31 October 2026 — 7,093 subscribers2 November 2026 — 7,077 subscribers5 November 2026 — 7,039 subscribers8 November 2026 — 7,000 subscribers7 August 20268 November 2026
26 measurements spanning 93 days, net -1,257. 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 6,811–8,446 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
8 Nov 2026, 21:047,000-39
5 Nov 2026, 11:197,039-38
2 Nov 2026, 19:167,077-16
31 Oct 2026, 04:177,093-14
28 Oct 2026, 10:357,107-59
25 Oct 2026, 10:407,166-22
22 Oct 2026, 09:207,188-32
19 Oct 2026, 01:007,220-35
15 Oct 2026, 16:057,255-52
12 Oct 2026, 20:067,307-70
6 Oct 2026, 04:587,377-68
28 Sept 2026, 22:207,445-207
19 Sept 2026, 09:187,652-79
15 Sept 2026, 06:387,731-40
11 Sept 2026, 18:227,771-128
7 Sept 2026, 08:377,899-82
2 Sept 2026, 05:557,981-39
30 Aug 2026, 06:088,020-79
26 Aug 2026, 20:448,099-52
24 Aug 2026, 06:438,151first reading

Engagement

15 posts held, back to 4 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 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.3%
avg views ÷ 7,000 subscribers
Avg views / post
718
7 posts measured
Reaction rate
0.166%
reactions ÷ views · ER floor
Posts in window
7
of 15 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 2 of 7 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 7 November 2026
Posts held15 (4 August 2026 – 7 November 2026)
Views total5,026
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 15:25 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
191
Videos
20
Links
50

Lifetime counters from Telegram’s own channel header, read 12 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
42s
Average length
11s

Measured directly from 4 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

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4100.0%

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 6 of the 15 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 4 August 2026 to 7 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: 2 of 7 posts held from the last 30 days (28.6%) 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).

7 Nov 2026, 12:33 UTC342 viewsread 12 November 2026
Photo

🧩榜单番号 0814-1153 花名:宁宁(纯环保/92/95) 位置:深圳 #宝安 #固戍 课费:400✈️ 500♻️ 1000双飞♻️♻️ 私聊:@Nn0685 频道:https://t.me/Lj021685 双向:@Ly589bot 标签(点蓝字查看更多): 👉宝安 👉巨乳D🐻 👉69 👉环保口爆♻️ 👉舌吻🐍 👉毒龙🐲 ✅私约已验证,放心出击 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失

6 Nov 2026, 04:50 UTC368 viewsread 12 November 2026
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3 Nov 2026, 13:13 UTC415 viewsread 12 November 2026
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龙华 茸茸🩵水床🛏环保♻️95🩵个人💗 年龄 27身高165体重50kg 胸围36c 600/P 60分钟 预约 @Lhrr68 双向机器人 @shangni8_bot 课表 https://t.me/Lhrrhb8/3 频道 https://t.me/Lhrrhb8 标签(点蓝字查看更多): 👉龙华 👉69 👉巨乳C🐻 👉毒龙 👉口爆 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

2 Nov 2026, 11:11 UTC424 viewsread 12 November 2026
Photo

🧩榜单番号 1104-1144 宝安娇娇 92/399 50分钟 95/499 60分钟 私信 : @JJ13143344 机器人:@JJ1314520bot 频道 :https://t.me/JJ520789 标签(点蓝字查看更多): 👉宝安 西乡 👉69 👉巨乳C🐻 👉毒龙 👉口爆 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

2 Nov 2026, 03:31 UTC≈2,270 viewsread 7 November 2026
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🧩榜单番号 118-22997 深圳罗湖丽丽抓龙筋 36D真胸,在理疗行业有9年实战经验,全身推油,前列腺按摩,前列腺高潮,针对上班簇,开车簇,久坐,白领的颈椎腰酸背痛的调理,提升男性功能,补肾壮阳,延缓性衰老,改善阳痿早泄症状,脱敏,边缘控制,三起三落,丝袜拉扯龟责,丝足,马眼,女王调教,高跟丝袜诱惑 电话☎️13424309669(🥰同号) 电话☎️18948197659(🥰同号) 🥰QQ: 3260108971 🥰QQ:1299721902 本地群: @szam66 个人频道: @anmo885 视频频道: @szam6668 备用频道: @szam889 🐱 TG: @szam888 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

26 Oct 2026, 12:13 UTC486 views1 reactionsread 7 November 2026
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🧩榜单番号 0828-5651 艺名:幸运草 年龄:28岁 身高:160com 体重:50kg 胸围:36C 300/400/P 700/PP 800/2小时不限次 微信mm2288668855 微信mm888555999668备用微mm888555668 与你mm8886699 与你mm6669966不闲聊, 电话15889752761, 地址龙华区观澜长湖地铁站 私信 @mm8886699 频道 https://t.me/mm88866998 标签(点蓝字查看更多): 👉龙岗 观澜 👉巨乳C🐻 👉69 👉口爆♻️ 👉舌吻🐍 更多: 🌎深圳修车资源导航 资源群:🍀深圳学生会 一键快速进深圳所有群 🔍更多资源福利 👉点我永不失联

❤1

20 Oct 2026, 04:48 UTC721 views1 reactionsread 5 November 2026
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❤1

28 Aug 2026, 09:23 UTC65 viewsread 28 August 2026
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23 Aug 2026, 09:48 UTC264 viewsread 28 August 2026
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14 Aug 2026, 07:03 UTC564 views1 reactionsread 28 August 2026
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❤1

14 Aug 2026, 06:28 UTC476 viewsread 28 August 2026
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7 Aug 2026, 05:44 UTC654 views1 reactionsread 26 August 2026
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❤1

Showing the 12 most recent of 15 posts we hold for @njiusdbd. 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

@njiusdbd edited 3 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
20 August 2026
Most recent edit
4 November 2026

Mentions

Named by 11 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.

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

“你就说大不大吧” (@njiusdbd), 7,000 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/njiusdbd.

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.