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Channel

黑料不打烊 吃瓜网hlbdy1.com 吃瓜群众聚集地

@hlbdy1com

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

1,311subscribers

+80 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003609632024
TypeChannel
Username@hlbdy1com
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/hlbdy1com

Growth

1,2311,3111,2717 August 2026 — 1,231 subscribers8 August 2026 — 1,239 subscribers11 August 2026 — 1,259 subscribers15 August 2026 — 1,271 subscribers18 August 2026 — 1,291 subscribers20 August 2026 — 1,311 subscribers7 August 202620 August 2026
6 measurements spanning 13 days, net +80. 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 1,219–1,323 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 23:451,311+20
18 Aug 2026, 10:071,291+20
15 Aug 2026, 06:081,271+12
11 Aug 2026, 17:571,259+20
8 Aug 2026, 11:251,239+8
7 Aug 2026, 11:471,231first reading

Engagement

4 posts held, back to 7 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
1.05%
avg views ÷ 1,311 subscribers
Avg views / post
13.8
4 posts measured
Reaction rate
this channel exposes no reaction counts
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held4 (7 August 20267 August 2026)
Views total55
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 11:47 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.

Recent posts

7 Aug 2026, 11:01 UTC3 viewsread 7 August 2026
Photo

AI短剧:重生后把三个前妻干到腿软床上喂饱美娇娘 床下全靠她们养 关键词:#重生后把三个前妻干到腿软 #AI短剧 #自慰 #后入 #调教 #AI短剧重生后把三个前妻干到腿软 #女主黄瓜自慰 #男主后入视频 👇点击黑料不打烊看完整版视频👇 https://bbdy41.com/?path=/archives/218764.html 👇黑料不打烊官方App免费下载流畅观看👇 https://toyo66.pgufwlws.cc 👇黑料不打烊最新地址获取👇 https://telegram.me/heiliao5

Signed cg_forward_01_bot

7 Aug 2026, 10:02 UTC12 viewsread 7 August 2026
Photo

骚鸡出击日记 08年南山婧婧165 36C清纯嫩妹 素人首次出境值不值1000 关键词:#咯咯哒 #南山婧婧 #清纯 #美腿 #口交 #后入 #素人 #36C 👇点击黑料不打烊看完整版视频👇 https://bbdy41.com/?path=/archives/218771.html 👇黑料不打烊官方App免费下载流畅观看👇 https://toyo66.pgufwlws.cc 👇黑料不打烊最新地址获取👇 https://telegram.me/heiliao5

Signed cg_forward_01_bot

7 Aug 2026, 09:00 UTC16 viewsread 7 August 2026
Photo

KTV约炮合集推开包厢门直接操翻极品小浪货 李雅群P到高潮 关键词:#KTV #约炮 #群P #黑丝 #李雅 #KTV包厢群P #国民女神裸唱 #李雅3P视频 👇点击黑料不打烊看完整版视频👇 https://bbdy41.com/?path=/archives/218763.html 👇黑料不打烊官方App免费下载流畅观看👇 https://toyo66.pgufwlws.cc 👇黑料不打烊最新地址获取👇 https://telegram.me/heiliao5

Signed cg_forward_01_bot

7 Aug 2026, 08:03 UTC24 viewsread 7 August 2026
Photo

土豆网王微婚内出轨 秘密同居算计前妻 结果前妻曝光出轨视频 毁掉上市计划 关键词:#土豆网 #王微 #杨蕾 #出轨 #净身出户 #离婚 👇点击黑料不打烊看完整版视频👇 https://bbdy41.com/?path=/archives/218773.html 👇黑料不打烊官方App免费下载流畅观看👇 https://toyo66.pgufwlws.cc 👇黑料不打烊最新地址获取👇 https://telegram.me/heiliao5

Signed cg_forward_01_bot

Showing the 4 most recent of 4 posts we hold for @hlbdy1com. 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 — 297,363 of 1,584,142entries 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 2 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.

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

“黑料不打烊 吃瓜网hlbdy1.com 吃瓜群众聚集地” (@hlbdy1com), 1,311 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/hlbdy1com.

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.