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Channel

吃瓜群众/吃瓜爆料/吃瓜社区

@DNYTJL3x

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

893subscribers

+7 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-1002527788260
TypeChannel
Username@DNYTJL3x
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 live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/DNYTJL3x

Growth

886893889.56 August 2026 — 886 subscribers6 August 2026 — 886 subscribers12 August 2026 — 893 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net +7. 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 885–894 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:33893+7
6 Aug 2026, 19:50886no change
6 Aug 2026, 19:49886first reading

Engagement

4 posts held, back to 5 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
5.49%
avg views ÷ 893 subscribers
Avg views / post
49.0
4 posts measured
Reaction rate
1.78%
reactions ÷ views · ER floor
Posts in window
4
of 4 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 4 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 held4 (5 August 20266 August 2026)
Views total196
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:50 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 4 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 4 most recent posts we hold, published 5 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, 05:20 UTC27 viewsread 6 August 2026
Photo

来自速搜推荐 @SSOU 📢搞笑😁犀利视角 📢🚗老司機轟趴館素人外流... 📢胆小勿入|灵异事件|毛骨... 📢甜妹日常AUDDK|内衣... 📢欧博官网🅱️亚星官网�... 📢利博官网|环球官网360... 📢深圳95口爆会所 📢港美股总部直营一手票方 📢直播录屏🈲半糖🫵主播 📢经典电影|奥斯卡|港影|... 📢晓生怪谈|睡前故事|蹲坑... 📢利博官网 利博代理 利博... 📢体育赛事 世界杯赛事 足... 📢关于女生的冷知识|热知识... 📢性感瑜伽|美女紧身裤|短... 👉流量互推规则介绍💥 以下是广告推荐 🥇西湖娱乐城✅老品牌包出款✅出款超10亿U ✅【铂莱娱乐bolai.com】8年老台 世界杯指定投注平台 全网上押1300万u 📢 X-panel 一站式拉人增粉平台 📢✅金边娱乐城✅全网上押800万u盘总聚集地 📢⚽️爱博体育-佣金55%-玩家首存即升VIP7等级⚽️ 🇨🇳 简体中文包 —————————-

5 Aug 2026, 06:00 UTC56 views1 reactionsread 6 August 2026
Photo

7月30日 成都四川传媒学院,一女子瞒着男友和富哥开房,不料操逼过程中男友电话查岗,女子撒谎训狗过程被富哥拍下发到网上 #激情 #做爱 #补充 #网曝门 #吃瓜 #聊天记录 #网传

1

Showing the 4 most recent of 4 posts we hold for @DNYTJL3x. 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 — 320,756 of 1,548,671entries 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 37 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.

皇冠网盘|皇冠体育私网|皇冠足球|皇冠登123
@huangguan3452 · 306
2 posts
欧博官网|亚星官网|皇冠官网|利博官网
@yaxing2354 · 281
2 posts
欧博体育 亚星体育 亚星私网 欧博私网
@fanyibaoxiazai12 · 380
1 post
皇冠体育 皇冠娱乐 皇冠官网 皇冠代理
@hanhuabaobuding · 83
1 post
科学·科普·气象·生物·环境
@kxkpqxswhj · 556
1 post
外围足球 世界杯足球 世界杯下注 世界杯投注
@libodaili10 · 621
1 post
利博官网 利博代理 利博百家乐 利博私网
@liboguanwang3 · 822
1 post
亚星官网🅱️亚星私网🅱️亚星开户🅱️亚星代理
@longteng114778 · 1,317
1 post
体育赛事 世界杯赛事 足球赛事 体育博彩
@oubo7887 · 612
1 post
诱惑性感喷泉乔老师
@qiaolaoshipen · 758
1 post
古典美 御姐 高清 异国
@shmstcjs · 543
1 post
皇冠代理 皇冠体育 皇冠官网 利博真人
@wanlidaili2 · 971
1 post
🔞亚洲外流群🔞
@xr1636 · 543
1 post
皇冠官网🅱️皇冠登1🅱️皇冠登2🅱️皇冠登3
@yaxing635 · 273
1 post
体育赛事 世界杯赛事 足球赛事 体育博彩
@yaxing6660 · 624
1 post
足球下注 世界杯买球 世界杯交流 2026年世界杯
@yaxing9963 · 645
1 post
皇冠私网🅰️138彩票信用网🅰️利博私网🅰️亚星欧博百家乐代理
@yaxingdailicc · 576
1 post
亚星私网/欧博私网/利博私网/万利私网/亚星欧博百家乐代理
@yaxingdailir · 837
1 post
欧博正网 欧博开户 欧博代理 欧博私网
@zh_cnjdndn · 365
1 post
亚星代理 亚星正网 亚星官网 亚星私网
@zh_cnjdnwwqa · 767
1 post
欧博代理 欧博官网 欧博正网 欧博百家乐
@zh_cnjjdudh · 107
1 post
皇冠开户 皇冠注册 皇冠官网 皇冠网址
@zh_cnzwhh13 · 549
1 post
亚星代理 亚星正网 亚星官网 亚星私网
@zh_ndjdnfgr · 255
1 post
欧博代理 欧博正网 欧博官网 欧博私网
@zhajinhuawaigua12 · 239
1 post

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

“吃瓜群众/吃瓜爆料/吃瓜社区” (@DNYTJL3x), 893 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/DNYTJL3x.

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.