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Telegram profile photo for 每日抖音【推特网红】

Channel

每日抖音【推特网红】

@douyinseseya

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

143,784subscribers

+17,525 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001138598213
TypeChannel
Username@douyinseseya
Description🌸 每日 · 精选分享 📸 美图|🎬 视频|✨ 每日更新 🔔 关注频道,第一时间获取更新 防失联(回家的路): @ppxxx
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live17 September 2026
Measurements held25
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/douyinseseya

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 14 August 2026 and assigned it the closest of 31 fixed categories, at 93% 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 why it has no browse page of its own yet.

Growth

126,259143,784135,021.514 August 2026 — 126,259 subscribers16 August 2026 — 127,628 subscribers17 August 2026 — 128,512 subscribers18 August 2026 — 129,129 subscribers19 August 2026 — 129,761 subscribers20 August 2026 — 130,369 subscribers21 August 2026 — 131,122 subscribers22 August 2026 — 132,103 subscribers24 August 2026 — 133,269 subscribers25 August 2026 — 133,878 subscribers26 August 2026 — 134,464 subscribers27 August 2026 — 135,069 subscribers28 August 2026 — 135,487 subscribers29 August 2026 — 136,000 subscribers30 August 2026 — 136,619 subscribers31 August 2026 — 137,066 subscribers1 September 2026 — 137,556 subscribers2 September 2026 — 137,981 subscribers4 September 2026 — 138,572 subscribers6 September 2026 — 139,695 subscribers9 September 2026 — 140,884 subscribers12 September 2026 — 142,048 subscribers13 September 2026 — 142,769 subscribers15 September 2026 — 143,140 subscribers17 September 2026 — 143,784 subscribers14 August 202617 September 2026
25 measurements spanning 34 days, net +17,525. 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 123,630–146,413 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
17 Sept 2026, 09:37143,784+644
15 Sept 2026, 09:58143,140+371
13 Sept 2026, 16:57142,769+721
12 Sept 2026, 00:19142,048+1,164
9 Sept 2026, 14:42140,884+1,189
6 Sept 2026, 07:21139,695+1,123
4 Sept 2026, 02:17138,572+591
2 Sept 2026, 19:38137,981+425
1 Sept 2026, 20:54137,556+490
31 Aug 2026, 18:13137,066+447
30 Aug 2026, 20:13136,619+619
29 Aug 2026, 17:03136,000+513
28 Aug 2026, 14:08135,487+418
27 Aug 2026, 10:38135,069+605
26 Aug 2026, 07:14134,464+586
25 Aug 2026, 10:12133,878+609
24 Aug 2026, 07:15133,269+1,166
22 Aug 2026, 16:04132,103+981
21 Aug 2026, 06:44131,122+753
20 Aug 2026, 05:48130,369first reading

Engagement

235 posts held, back to 13 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 88 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.62%
avg views ÷ 143,784 subscribers
Avg views / post
8,090
167 posts measured
Reaction rate
0.134%
reactions ÷ views · ER floor
Posts in window
167
of 235 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 159 of 167 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 23 September 2026
Posts held235 (13 August 202623 September 2026)
Views total1,350,641
Reactions total1,775
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 15:59 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
1,200
Videos
277
Links
72

Lifetime counters from Telegram’s own channel header, read 23 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
45m 06s
Average length
28s

Measured directly from 95 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

2,337 reactions across 221 posts, in 20 distinct kinds. The most used accounts for 55.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,29155.2%
👍42518.2%
🤡34714.8%
🔥853.64%
💯843.59%
🤯351.50%
😭301.28%
💩100.428%
🥴70.3%
👏50.214%
🤓30.128%
🐳20.086%
👨‍💻20.086%
🙏20.086%
🤮20.086%
🥰20.086%
🥱20.086%
💋10.043%
😎10.043%
😴10.043%

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 223 of the 235 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 2,337 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 235 most recent posts we hold, published 13 August 2026 to 23 September 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 235 we hold a reading for · 0.4%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @douyinseseya. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 235 most recent posts we hold for this entry, published 13 August 2026 to 23 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

23 Sept 2026, 07:35 UTC≈3,080 views18 reactionsread 23 September 2026
Video

#抖音 #MO #纯欲 #少女 #定制 #网红 抖音双马尾纯欲美少女MO私拍福利视频合集! ps:身材与颜值并存的顶级软妹纸🫡 ⤵️ 点击下方评论区链接查看全部内容

10🤡4👍2🔥1😎1

23 Sept 2026, 07:20 UTC≈3,160 views16 reactionsread 23 September 2026
Photo

#抖音 #八酱 #小八酱 #纯欲 #少女 #定制 抖音纯欲天花板少女八酱下海私拍福利视频合集! ps:家人们,这个我是真心的喜欢,好想让她成为你们的嫂子!🥰 ⤵️ 点击下方评论区链接查看全部内容

7🤡4👍3💯1🤯1

23 Sept 2026, 07:06 UTC≈2,960 views13 reactionsread 23 September 2026
Video

#抖音 #格格 #定制 #御姐 #蜜桃臀 #自拍 万人求系列抖音网红格格老师付费定制露脸私拍合集 ps:兄弟们这电动小马达,谁能顶的住啊☹️ ⤵️ 点击下方评论区链接查看全部内容

6👍3🤡2🐳1💯1

20 Sept 2026, 07:22 UTC≈19,200 views44 reactionsread 23 September 2026
Photo

#极品 #高颜值 #抖音 #赵子易 #巨乳 #福利姬 抖音极品高颜值网红赵子易巨乳细腰最新大尺度流出 ⤵️ 点击下方评论区链接查看全部内容

27👍6🤡5🤯4🔥2

20 Sept 2026, 07:16 UTC≈18,500 views14 reactionsread 23 September 2026
Photo

#极品 #高颜值 #B站 #魚妹不熬夜 #少女 #福利姬 B站极品少女魚妹不熬夜白丝水手服私密自拍图 ⤵️ 点击下方评论区链接查看全部内容

9👍3🤡2

20 Sept 2026, 07:10 UTC≈16,300 views12 reactions2 Starsread 23 September 2026
Photo

#极品 #高颜值 #抖音 #小羊S #自慰 #福利姬 抖音网红 小羊S对镜自拍扣穴福利视频 ⤵️ 点击下方评论区链接查看全部内容

5👍4🤡3

20 Sept 2026, 07:06 UTC≈14,400 views6 reactionsread 23 September 2026
Photo

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5👍1

20 Sept 2026, 07:06 UTC≈8,600 views2 reactionsread 23 September 2026
Video

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1👍1

20 Sept 2026, 07:06 UTC≈10,200 views3 reactionsread 23 September 2026
Video

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2👍1

20 Sept 2026, 07:05 UTC≈6,750 views1 reactionsread 23 September 2026
Video

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👍1

19 Sept 2026, 08:34 UTC≈15,100 views49 reactionsread 23 September 2026
Photo

#极品 #高颜值 #推特 #小织乙女 #巨乳 #福利姬 推特极品高颜值嫩妹小织乙女居家卧室厥屁展示 PS:白内白丝巨乳 丰满的蜜桃臀魅力无穷 ⤵️ 点击下方评论区链接查看全部内容

26👍6💩5💯5🔥4🤡3

19 Sept 2026, 08:30 UTC≈15,200 views21 reactionsread 23 September 2026
Photo

#极品 #高颜值 #抖音 #小川大王 #约啪 #福利姬 抖音和推特专业约拍博主小川大王约炮金主口交视频合集 PS:果然女人背地里都是骚东西 ⤵️ 点击下方评论区链接查看全部内容

👍108🤡3

Showing the 12 most recent of 235 posts we hold for @douyinseseya. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“每日抖音【推特网红】” (@douyinseseya), 143,784 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/douyinseseya.

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.