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Channel

布拿拿塔塔开

@tatakai01

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

23,752subscribers

+4,578 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003107783344
TypeChannel
Username@tatakai01
CreatedBetween 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/tatakai01

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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

19,17423,81721,495.57 August 2026 — 19,174 subscribers7 August 2026 — 19,174 subscribers8 August 2026 — 19,229 subscribers9 August 2026 — 19,285 subscribers10 August 2026 — 19,334 subscribers11 August 2026 — 19,367 subscribers12 August 2026 — 20,123 subscribers13 August 2026 — 20,434 subscribers15 August 2026 — 20,802 subscribers16 August 2026 — 21,035 subscribers17 August 2026 — 21,161 subscribers18 August 2026 — 21,341 subscribers19 August 2026 — 21,698 subscribers20 August 2026 — 22,685 subscribers21 August 2026 — 22,656 subscribers23 August 2026 — 22,708 subscribers25 August 2026 — 22,602 subscribers25 August 2026 — 22,657 subscribers27 August 2026 — 22,722 subscribers28 August 2026 — 22,789 subscribers28 August 2026 — 22,850 subscribers30 August 2026 — 22,925 subscribers30 August 2026 — 22,953 subscribers1 September 2026 — 22,961 subscribers2 September 2026 — 22,997 subscribers3 September 2026 — 23,512 subscribers5 September 2026 — 23,715 subscribers8 September 2026 — 23,790 subscribers11 September 2026 — 23,761 subscribers13 September 2026 — 23,782 subscribers14 September 2026 — 23,791 subscribers16 September 2026 — 23,817 subscribers18 September 2026 — 23,752 subscribers23,7527 August 202618 September 2026
33 measurements spanning 42 days, net +4,578. 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 18,478–24,513 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 17:4023,752-65
16 Sept 2026, 12:3723,817+26
14 Sept 2026, 19:1923,791+9
13 Sept 2026, 02:3723,782+21
11 Sept 2026, 05:0023,761-29
8 Sept 2026, 11:1823,790+75
5 Sept 2026, 08:3823,715+203
3 Sept 2026, 10:4423,512+515
2 Sept 2026, 04:1522,997+36
1 Sept 2026, 00:4522,961+8
30 Aug 2026, 23:5422,953+28
30 Aug 2026, 01:1522,925+75
28 Aug 2026, 23:5422,850+61
28 Aug 2026, 00:4722,789+67
27 Aug 2026, 01:1622,722+65
25 Aug 2026, 22:0322,657+55
25 Aug 2026, 00:0322,602-106
23 Aug 2026, 08:1822,708+52
21 Aug 2026, 21:4922,656-29
20 Aug 2026, 16:4822,685first reading

Engagement

45 posts held, back to 31 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 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.6%
avg views ÷ 23,752 subscribers
Avg views / post
5,610
6 posts measured
Reaction rate
0.113%
reactions ÷ views · ER floor
Posts in window
6
of 45 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 5 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 29 August 2026
Posts held45 (31 July 202629 August 2026)
Views total33,680
Reactions total37
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 13:32 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 39s
Average length
14s

Measured directly from 20 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

549 reactions across 40 posts, in 11 distinct kinds. The most used accounts for 88.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
48588.3%
👍325.83%
🤡81.46%
👀61.09%
🔥50.911%
🤔40.729%
🤩30.546%
🍌20.364%
🥰20.364%
❤‍🔥10.182%
🥴10.182%

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 43 of the 45 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 549 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 31 July 2026 to 29 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

29 Aug 2026, 12:19 UTC≈1,070 viewsread 29 August 2026

还有不到2小时开!!帮帮我🥺

Signed 布拿拿

29 Aug 2026, 09:11 UTC≈2,030 views3 reactionsread 29 August 2026
Video

艺名:#思思 地区:#广州 #天河 价格:7p 13pp 联系方式:@Sisi552 标签: #嫩妹 #舌吻 #乳B+/C- 身材硬件不错的靓靓嫩妹,报【布拿拿】名字,5张通用100优惠券直送!!先到先得!!把握!! 👉布拿拿往期报告 https://t.me/tatakai01/714

👍3

Signed 布拿拿

28 Aug 2026, 15:48 UTC≈5,070 views15 reactionsread 29 August 2026
Photo

#豆芽 @douyawudi 700p+xcz 人照8.5,看似乖乖女孩脸,真人实则带点点厌世御姐颜,五官精致,小翘鼻好看,整体右脸侧颜不错,身高约167,体重约95,乳腺B杯,小乳头小乳晕,肤色黄白皮整体都偏白,肤质除了背上有点痘印整体还行,三点粉嫩,尤其下路,毛量很少,性爱体验非常好,传教的时候各种抓着我手,勾着脖子,后入的时候各种抓床单,大屁股贴着我,明显感受到腰部抽动,炮架感很好,水也很多,总之性爱体验很好,刚进来时,沟通起来有点理直气壮那般,误以为态度不是太好,直接激发了我的欲望,化身野犬朱涛,必须猛猛大干一场,后来才知道可能说话就那样的,嗓音大,人也刚进新手村不久,口活也是现学的,不会的都可以学,管不了那么多,像我这样的猛男,直接干爽就完了

15

Signed 布拿拿

26 Aug 2026, 08:16 UTC≈6,870 views6 reactionsread 29 August 2026
Photo

🎓 抽奖标题:【广州学院&星妤&布拿拿】携手宠粉家人们半价红包活动🎁 🎁 奖品内容: - 天河星妤p半价券🎟️(不可转让 不去作废 需写报告 )*1 - 28元现金红包🧧(兑奖联系老师 @xingyu88999)*8 - 38元现金红包🧧(兑奖联系老师 @xingyu88999)*4 - 58元现金红包🧧(兑奖联系老师 @xingyu88999)*2 🪧 抽奖说明:参与需扣除20积分 🎫 参与条件: - 从2026-08-23 00:00:00起发言数量不少于20 - 必须有用户名 - 积分不少于0 - 加入群:广州学院 - 加入频道:广州学院名师榜 - 加入群:广州学院必吃榜 - 加入频道:星妤的日常 - 加入频道:布拿拿塔塔开 ​🕒​ 开奖时间:2026-08-29 22:00自动开奖 🎰已参与人(79): bubaochi - 2026-08-25 12:41:16 小电驴 - 2026-08-25 10:53:29 秋天

6

Signed 院长 认准用户名: @gz222

25 Aug 2026, 15:02 UTC≈9,250 views5 reactionsread 29 August 2026
Photo

Photo, posted without a caption

5

Signed 布拿拿

25 Aug 2026, 09:46 UTC≈9,390 views8 reactionsread 29 August 2026
Photo

——塔塔开倾情推荐老师 艺名:#安安 地区:#广州 #天河 价格:8p 15pp 联系方式:@tianheanan 标签: #嫩妹 #舌吻 #大胸D杯 👉 布拿拿往期报告 👉 野犬小鸡吧朴昌报告

8

Signed 布拿拿

24 Aug 2026, 09:35 UTC≈10,300 views18 reactionsread 29 August 2026
Video

#苏琳 @Sulinc7 700p+xcz+🐍 舒服了,又是功德满满的一天😌 塔塔开🔗:https://t.me/Bunananabot?start=0dd87134

14👍4

Signed 布拿拿

23 Aug 2026, 17:25 UTC≈10,500 views12 reactionsread 29 August 2026
Video

恨我一辈子和想我一辈子有什么区别

11🔥1

Signed 小火火

23 Aug 2026, 07:12 UTC≈9,390 views3 reactionsread 29 August 2026

#广州佛山集团 禁止一切形式广告优质修车社群⬇️ 聊天群: https://t.me/+d2VfZXpstac2OGE1 公开榜: https://t.me/GuangzhouCBy 👩‍🎓 郑重承诺:高质量/无广告/真老师/真学生/活跃群,若您在【广州佛山集团】联系的老师货不对板,被骗定金,群主: @bbca12 担保赔付!进群参加现金红包🧧!活跃挖宝活动,更有五折工兵优惠劵 点击加入

3

Signed 布拿拿

21 Aug 2026, 12:06 UTC≈10,800 views10 reactionsread 29 August 2026
Photo

艺名:#诺雨 地区:#广州 #番禺 价格:7p 14pp 联系方式:@nuoyu888 标签: #嫩妹 #69 #舌吻 #人工白虎 #人照10成 卧槽卧槽,这下牛逼了,诺雨老师实在太太太大气了!!报【小火火】名字,p-100,pp-200优惠券各5张直送,先到先得!!

7🤩2🤡1

Signed 小火火

19 Aug 2026, 16:19 UTC≈12,600 views122 reactionsread 29 August 2026
Photo

三返 #珂珂 @baihukeke 啊啊啊,豆包豆包,快帮我想个文案🥺 👉之前写过的报告 塔塔开🔗:https://t.me/Bunananabot?start=4a223570

109👀6🍌2🥰2❤‍🔥1👍1🤩1

Signed 布拿拿

19 Aug 2026, 15:52 UTC≈13,100 views10 reactionsread 29 August 2026
Photo

艺名:#安安 地区:#广州 #海珠 价格:8p 16pp 联系方式:@ananoo88 标签: #高颜值 #御姐 #舌吻 #服务好 卧槽卧槽,这下牛逼了,安安老师实在太太太大气了!!报【小火火】名字,200通用优惠券5张直送,先到先得!! 该说不说,牛而逼之,牛逼plus,芜湖,起飞 非常可惜,福利已经领完了

10

Signed 小火火

Showing the 12 most recent of 45 posts we hold for @tatakai01. 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.

Posts edited after publishing

@tatakai01 edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 August 2026
Most recent edit
25 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 6 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“布拿拿塔塔开” (@tatakai01), 23,752 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tatakai01.

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.