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Channel

成人影片精选集 sese.best1

@sesebest1

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

6,801subscribers

+1,338 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-1003207144397
TypeChannel
Username@sesebest1
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 November 2026
Measurements held29
Confirmed unchanged1 time, most recently 15 November 2026
On Telegramt.me/sesebest1

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 100% 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.

Growth

5,4636,8016,1327 August 2026 — 5,463 subscribers7 August 2026 — 5,463 subscribers7 August 2026 — 5,466 subscribers10 August 2026 — 5,479 subscribers13 August 2026 — 5,523 subscribers16 August 2026 — 5,570 subscribers19 August 2026 — 5,579 subscribers22 August 2026 — 5,660 subscribers25 August 2026 — 5,678 subscribers28 August 2026 — 5,701 subscribers31 August 2026 — 5,734 subscribers3 September 2026 — 5,781 subscribers8 September 2026 — 5,799 subscribers13 September 2026 — 5,813 subscribers17 September 2026 — 5,818 subscribers26 September 2026 — 5,988 subscribers5 October 2026 — 6,239 subscribers11 October 2026 — 6,349 subscribers14 October 2026 — 6,364 subscribers17 October 2026 — 6,379 subscribers19 October 2026 — 6,383 subscribers22 October 2026 — 6,537 subscribers25 October 2026 — 6,570 subscribers28 October 2026 — 6,584 subscribers31 October 2026 — 6,641 subscribers3 November 2026 — 6,664 subscribers6 November 2026 — 6,672 subscribers9 November 2026 — 6,750 subscribers15 November 2026 — 6,801 subscribers7 August 202615 November 2026
29 measurements spanning 99 days, net +1,338. 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 5,262–7,002 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
15 Nov 2026, 02:016,801+51
9 Nov 2026, 17:176,750+78
6 Nov 2026, 06:286,672+8
3 Nov 2026, 16:066,664+23
31 Oct 2026, 08:066,641+57
28 Oct 2026, 11:156,584+14
25 Oct 2026, 19:206,570+33
22 Oct 2026, 18:076,537+154
19 Oct 2026, 21:386,383+4
17 Oct 2026, 04:266,379+15
14 Oct 2026, 13:316,364+15
11 Oct 2026, 07:576,349+110
5 Oct 2026, 05:376,239+251
26 Sept 2026, 19:205,988+170
17 Sept 2026, 12:005,818+5
13 Sept 2026, 03:155,813+14
8 Sept 2026, 19:195,799+18
3 Sept 2026, 09:135,781+47
31 Aug 2026, 10:285,734+33
28 Aug 2026, 03:545,701first reading

Engagement

68 posts held, back to 29 July 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.7%
avg views ÷ 6,801 subscribers
Avg views / post
1,070
36 posts measured
Reaction rate
0.064%
reactions ÷ views · ER floor
Posts in window
36
of 68 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 9 of 36 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 10 November 2026
Posts held68 (29 July 2026 – 10 November 2026)
Views total38,490
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 11:00 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

12 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1083.3%
🍓216.7%

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 13 of the 68 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 68 most recent posts we hold, published 29 July 2026 to 10 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: 34 of 36 posts held from the last 30 days (94.4%) 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).

10 Nov 2026, 19:27 UTC742 views0 reactionsread 14 November 2026
Photo

番号:IBW-931z 演员:#由良かな 完整名称:IBW-931z 夏休み日焼け美少女を狙った公衆トイレわいせつ強● 由良かな 分类:#萌妹 #群交 #日烧 #无码去码 #sesebest 在线观看

10 Nov 2026, 19:27 UTC717 views2 reactionsread 14 November 2026
Photo

番号:IBW-929z 演员:#工藤ララ #伊藤はる #横宮七海 #由良かな 完整名称:IBW-929z 「叔父さんに逢いにきました…。」田舎暮らしの叔父さん大好きな姪っ子性交記録映像4時間 工藤ララ 伊藤はる 横宮七海 由良かな 分类:#萌妹 #无码去码 #sesebest 在线观看

🍓2

10 Nov 2026, 19:27 UTC656 views0 reactionsread 14 November 2026
Photo

番号:IBW-906 演员:# 完整名称:IBW-906 四畳半でいたずら猥褻されるパイパン●学生記録映像4時間 分类:#萌妹 #sesebest 在线观看

10 Nov 2026, 19:26 UTC614 viewsread 14 November 2026
Photo

番号:IBW-902z 演员:#由良かな 完整名称:IBW-902z 美少女集団輪●倶楽部 かな 由良かな 分类:#萌妹 #群交 #无码去码 #sesebest 在线观看

10 Nov 2026, 19:26 UTC541 viewsread 14 November 2026
Photo

番号:IBW-885z 演员:#由良かな 完整名称:IBW-885z 日焼け跡が残る連れ子がドンピシャリ かな143cm 由良かな 分类:#萌妹 #日烧 #无码去码 #sesebest 在线观看

9 Nov 2026, 19:29 UTC727 views0 reactionsread 14 November 2026
Photo

番号:IBW-881 演员:#佐野なつ #工藤ララ #雪乃える 完整名称:IBW-881 葛飾共同区営団地 日焼け美少女わいせつ映像6 佐野なつ 工藤ララ 雪乃える 分类:#萌妹 #群交 #日烧 #无码去码 #sesebest 在线观看

9 Nov 2026, 19:29 UTC689 viewsread 14 November 2026
Photo

番号:IBW-873z 演员:#工藤ララ 完整名称:IBW-873z ○学生美少女銭湯集団輪● 工藤ララ 分类:#萌妹 #群交 #无码去码 #sesebest 在线观看

9 Nov 2026, 19:29 UTC668 viewsread 14 November 2026
Photo

番号:IBW-865 演员:#工藤ララ 完整名称:IBW-865 先生を狂わすマセガキ日焼けロ○ータ 142cmララ 工藤ララ 分类:#萌妹 #日烧 #无码去码 #sesebest 在线观看

9 Nov 2026, 19:29 UTC659 viewsread 14 November 2026
Photo

番号:IBW-861z 演员:#咲田ラン #工藤ララ #伊藤はる #愛野ひなた 完整名称:IBW-861z 鍵っ子○学生を狙った尾行押し込み集団レ●プ 咲田ラン 工藤ララ 伊藤はる 愛野ひなた 分类:#萌妹 #性暴力 #群交 #无码去码 #sesebest 在线观看

8 Nov 2026, 12:00 UTC≈1,130 views1 reactionsread 14 November 2026

#互推 【涩涩漫画】Exhentai 全量中文在线观看备份推送(灰度测试) 【二次元涩涩】每日2.5D色色动画推荐 【萝莉万岁】ʚ西萝马帝国ɞ 【漫画分享】安利 (NSFW) 【百合漫画】[NSFW] 每日百合本推送 【三次元涩涩】成人影片精选集 sese.best1 【游戏分享】小喵的ACG黄油 (重开版) 【板鸭涩频】Re:4从一开始的鸭鸭频道 Powered by @Summer_Clear_Sky_Bot

❤1

7 Nov 2026, 12:56 UTC≈1,300 views0 reactionsread 14 November 2026
Photo

番号:IBW-857 演员:#工藤ララ 完整名称:IBW-857 父親に犯●れ続ける娘の近親相姦映像 工藤ララ 分类:#萌妹 #无码去码 #sesebest 在线观看

7 Nov 2026, 12:55 UTC≈1,250 viewsread 14 November 2026
Photo

番号:IBW-856 演员:#冬愛ことね #天然美月 #るるちゃ。 #工藤ララ #生田みく #二ノ宮せな #永野いち夏 完整名称:IBW-856 パイパン日焼け美少女騎乗位映像集4時間 冬愛ことね 天然美月 るるちゃ。 工藤ララ 生田みく 二ノ宮せな 永野いち夏 分类:#萌妹 #日烧 #sesebest 在线观看

Showing the 12 most recent of 68 posts we hold for @sesebest1. 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.

Mentions

Named by 7 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 15 November 2026 — this entry's latest reading, not the date you are reading this.

“成人影片精选集 sese.best1” (@sesebest1), 6,801 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/sesebest1.

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.