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Channel

台灣老司機ゞ黑暗成人界

@av8526Bot

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

2,376subscribers

+47 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-1002677968948
TypeChannel
Username@av8526Bot
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/av8526Bot

Growth

2,3292,3762,352.57 August 2026 — 2,329 subscribers7 August 2026 — 2,329 subscribers8 August 2026 — 2,331 subscribers10 August 2026 — 2,346 subscribers13 August 2026 — 2,357 subscribers17 August 2026 — 2,373 subscribers20 August 2026 — 2,376 subscribers7 August 202620 August 2026
7 measurements spanning 13 days, net +47. 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 2,322–2,383 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 11:382,376+3
17 Aug 2026, 12:152,373+16
13 Aug 2026, 18:082,357+11
10 Aug 2026, 22:512,346+15
8 Aug 2026, 07:482,331+2
7 Aug 2026, 20:172,329no change
7 Aug 2026, 19:312,329first reading

Engagement

11 posts held, back to 8 July 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
41.7%
avg views ÷ 2,376 subscribers
Avg views / post
991
6 posts measured
Reaction rate
0.373%
reactions ÷ views · ER floor
Posts in window
6
of 11 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 4 of 6 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 held11 (8 July 20266 August 2026)
Views total5,946
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 20:17 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
4m 48s
Average length
2m 24s

Measured directly from 2 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

29 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 41.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1241.4%
👍827.6%
🙏310.3%
🥰310.3%
🔥26.90%
😍13.45%

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 9 of the 11 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 8 July 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, 07:31 UTC236 views1 reactionsread 7 August 2026
Forwarded from @xj4547botPhoto

#暑假學生妹.強力推薦 貝拉152.40.B奶.18歲 在校高中生 年輕可愛#短髮 小梨155.41.小C.18歲 身材纖細 水靈靈蘿莉裝扮 一線鮑經驗少【+1000可無套】 萌萌162.44.C奶.18歲 清純氣質外表 舞蹈正妹嫩漂亮 淺淺154.40.B+.18歲 #短髮年輕可愛嫩妹 剛成年滿18歲 十一158.46.E.18歲 比同齡的發育的早.有傲人胸圍 嫩白膚色【+2000私底下可無套】 🌐LINE :mr8866 ⭐Gleezy :sk3826 🌐私訊TG:@sk38266 ⭐️新手上路 @sm54877 ⭐️客評分享 @sm5525to ⭐️北中南班表 @xj4547bot ⭐️老司機總站 @av8526Bot ⭐️茶訊官網 www.ppp8669.com 學生系🌸 巨乳系 ☘️熟女系 #台灣外送茶 #台灣援交妹 #台灣囡囡 #美少女 #貧乳妹 #高中生 #爆乳 #人妻 #熟女 #模特 #G奶

1

2 Aug 2026, 10:33 UTC684 views4 reactionsread 7 August 2026
Photo

景色很美“ 人更美”🍓

2👍1😍1

25 Jul 2026, 05:12 UTC≈1,050 views2 reactionsread 7 August 2026
Photo

成年人的生活,從來沒有容易兩個字。 白天努力工作 回家照顧家庭 有壓力不敢說 累了也不敢停下 因為身後有責任 所以只能告訴自己再撐一下 但你也是人 不是永遠不會累的機器 偶爾放慢腳步 給自己一點喘息的時間 也是對努力生活的自己一種犒賞 生活很難 但別忘了好好照顧自己

2

22 Jul 2026, 07:11 UTC≈1,080 views1 reactionsread 7 August 2026
Forwarded from @xj4547botPhoto

小兮親自面試 全台高中生 #試車 #北部推薦 #莊敬高中 多萌155.42.B.18歲 高中生初次報班 少經驗上陣 #大同高中 果凍158 44 C 18歲 甜美可愛 皮膚白 奶子很粉嫩 #育成高中 覓曈157.42.B.18歲 個性乖乖靦腆型 外表乾乾淨淨 #百齡高中 小熙155.40.A 18歲 小蘿莉白虎一線鮑 敏感水多多 #中部推薦 #惠文高中 菲菲 155 42 B.18歲 剛成年的妹妹 嬌小纖細 害羞幼嫩 #文華高中 甜馨 156 45.E.18歲 童顔巨乳超犯規 #中科高中 柔伊 155.44 D.18歲 小只馬巨乳 皮膚透亮Q彈 床上意外主動 #南部推薦 #高苑工商 夕月156.42.B.18歲 蘿莉嫩妹初次下海 #鳳山高中 柔柔155.42.D.18歲 小可愛 豐滿小D奶 需求高 身不高 #小港高中 小情158.44.C.18歲 舞蹈系學生妹 甜美陽光小隻馬 喜愛高中生的理由 剛合法又嫩滑緊 青春的肉

1

17 Jul 2026, 06:57 UTC≈1,210 views7 reactionsread 7 August 2026
Forwarded from @xj4547botPhoto

小兮親自面試高中生 #試車 #北部推薦 #丹鳳高中 幼林158 D 18歲 美鮑水穴 主動配合高 #三重高中 俏俏160 C 18歲 白皙水嫩 火辣活潑 #和平高中 樂樂155 B 18歲 粉嫩肌膚粉紅內裝 #中部推薦 #大明高中 小麥156 C 18歲 嬌小纖細 害羞幼嫩 #西苑高中 小妞158 E 18歲 童顔巨乳超犯規 #青年高中 斯斯155 C 18歲 乖巧羞澀床上有點淫 #南部推薦 #中山高中 柔柔155 D 18歲 清純領家女孩 #復華高中 果果158 C 18歲 纖細完美綫條 #旗美高中 豆豆160 D 18歲 敏感易濕愛撒嬌 喜愛高中生的理由 剛合法又嫩滑緊 青春的肉體 粉紅嫩鮑 自然好聞的香味 淡淡的妝容 充滿清純的氣息 對凡事都好奇與興趣 #新妹試車咯 試車原因:新妹初兼.作為女生小兮只能看到外貌身材 沒辦法體驗服務 所以都會給客人試車服務 床上沒有制式化的流程 沒有老套的話術 ★女友fu ★

🙏32👍2

16 Jul 2026, 11:00 UTC≈1,150 views7 reactionsread 7 August 2026
Photo

#火辣美女 “身材超讚”😍

🥰32🔥2

8 Jul 2026, 15:02 UTC≈1,590 views1 reactionsread 7 August 2026

人生最值得投資的,就是自己的身心健康 吃得開心、玩得盡興、活得自在 能夠買到當下的快樂,就是一種幸福

1

8 Jul 2026, 15:00 UTC≈1,610 views1 reactionsread 7 August 2026
Photo

“非常 非常 有道理”😛

1

Showing the 11 most recent of 11 posts we hold for @av8526Bot. 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 — 13,766 of 1,584,420entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 13 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 20 August 2026 — this entry's latest reading, not the date you are reading this.

“台灣老司機ゞ黑暗成人界” (@av8526Bot), 2,376 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/av8526Bot.

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.