Channel
@tatakai01
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
20,802subscribers
+1,628 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003107783344 |
|---|---|
| Type | Channel |
| Username | @tatakai01 |
| Description | 这个频道主很懒，什么都没留下，只留下了一串神秘代码👇 私信： @kickafk1 |
| Created | Between 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/tatakai01 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:28 | 20,802 | +368 |
| 13 Aug 2026, 15:34 | 20,434 | +311 |
| 12 Aug 2026, 14:46 | 20,123 | +756 |
| 11 Aug 2026, 12:22 | 19,367 | +33 |
| 10 Aug 2026, 13:12 | 19,334 | +49 |
| 9 Aug 2026, 14:13 | 19,285 | +56 |
| 8 Aug 2026, 12:34 | 19,229 | +55 |
| 7 Aug 2026, 18:15 | 19,174 | no change |
| 7 Aug 2026, 18:03 | 19,174 | first reading |
29 posts held, back to 31 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 23 pagesof Telegram’s post history, 20 posts per page.
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 27 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 29 (31 July 2026 – 15 August 2026) |
| Views total | 280,340 |
| Reactions total | 247 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 06:58 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.
Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 14 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.
247 reactions across 24 posts, in 6 distinct kinds. The most used accounts for 85.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 212 | 85.8% | |
| 👍 | 21 | 8.50% | |
| 🤡 | 7 | 2.83% | |
| 🔥 | 3 | 1.21% | |
| 🤔 | 3 | 1.21% | |
| 🥴 | 1 | 0.405% |
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 27 of the 29 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 247reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 31 July 2026 to 15 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.
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Signed 布拿拿（巧克力增强版）
小火火登味拉满了😐😐
❤5🤔3
Signed 布拿拿（巧克力增强版）
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❤9👍1
Signed 免费抽奖导航
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❤6
Signed 布拿拿（巧克力增强版）
艺名：#小露 地区：#广州 #天河 价格：7p 13pp 联系方式：@zxassj99 标签： #嫩妹 #69 #kiss 非常感谢小露老师倾情支持，又又又双叒叕送福利，芜湖！！报【布拿拿】名字，100通用优惠券8张直送，先到先得！！ 塔塔开🔗：https://t.me/Bunananabot?start=284cc519
❤1
Signed 布拿拿（巧克力增强版）
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❤2
Signed 布拿拿（巧克力增强版）
#小蝶 @tianhexiaodie 800p+xcz+🐍 人照8成，视频多去掉点美颜，实际上真人比频道照好看得多，巴掌脸大小，长相非常小hai，颜值完全没问题，162，80，A杯掌中宝，肤色黄皮少灰，肤质软滑嫩，下路非常非常非常紧，仅次于刚下海时期的 #思思 ，进入通道时满满的紧、涨感，户型不太记得了，毛算少，逼粉水也多，吊起来非常舒服，尤其后入那身姿非常曼妙，还可以抱起来炒，态度非常好，都很配合，而且难得和小hai还蛮聊得来，于我而言，情绪价值也不错，又爱了这个🥰 由于吃完巨乳 #涵涵 后，一直感觉头有点晕，在野犬小鸡吧的强烈推荐下，于是马上联系的小蝶老师，吃完后头晕症状确实得到了很好的缓解 缺点：右腿花腿，略带点精神味 塔塔开：https://t.me/Bunananabot?start=77dc6fd0 另外感谢小蝶老师支持，100通用优惠券，报【布拿拿】名字，8个名额直送！！先到先得！！
❤20👍1
Signed 布拿拿（巧克力增强版）
#涵涵 @Hanan669 700p+xcz+🐍+69 人照约8.5，参考视频，妆容精致，有点失忆了，侧颜会好看些，颜值还行，年龄18，身高约162，体重95，巨乳D+杯，乳腺脂肪各半，乳头乳晕相较巨乳来说已经算小了，且两点非常粉嫩，肤色黄白皮偏白，肤质软滑嫩，下路户型忘了，印象里也粉嫩，传教插了一会换个姿势就能看到蹭出来了点白浆，且水也非常多，紧致度还行，屁股也有肉，后入做起来也舒服，整体吊感还不错，人话不算多，跟我这个尬比也只能正常交流，方方面面都很配合，还可以玩OiO，刚进来能看出来胸应该蛮大的，但真的没想到这么大，脱了衣服后直接震惊了，最后引用一下某匈奴群名【胸不巨，何以聚人心】，把握！！ 缺点：脸有点小粉刺，一点点纹身，都算不上什么缺点吧，7p这质量，没什么好挑的 个人推荐评分：9.1（喜欢巨乳+0.5，匈奴人可无脑冲，我对巨乳不那么感冒都觉得完全值得打卡） 塔塔开🔗：https://t.me/B…
❤40
Signed 布拿拿（巧克力增强版）
我的审美很专一，主打一个御姐重度爱好者。甜妹路过我点头点赞，御姐登场我直接瞳孔地震。别的风格尚可观望，御姐一出场，我直接缴械投降，理智什么的暂时先扔一边。 https://telegram.me/+B8TVQmrTOoRhNGY1
👍3❤1
Signed 布拿拿（巧克力增强版）
🎆广州御猫阁🎆 🍑 (御姐,长腿,蜜桃臀) 真实消费人群,素质高,流量真实 ❤️欢迎订阅,推广洽谈🎀 ㊗️:各帅逼们,老师们事业顺心💫 频道: https://t.me/yemao5200 群聊: https://t.me/yemaoSheying
❤9👍3
Signed 布拿拿（巧克力增强版）
即使某天我征服了世界 我也只想亲亲姐姐的脸
❤11👍2
Signed 小火火
#允儿 @Dandan7012 800p+xcz+蛇 人照10成，参考我瞎拍的，比频道外星人照好看得多，网红科技味拉满了，于我而言，偶尔猎个奇，完全能接受，颜值还不错，体感年龄约20，身高约165，体重92，软底小B杯，两点稍褐，鲍鱼正常粉褐，肤色黄白偏白，肤质软滑嫩，聊天沟通过程神情有点单一🤣，说话也有点点慢吞吞的很温柔，口起来也慢吞吞的，看起来有滋有味的，非常有意思，据可靠消息，停了非常久，做起来紧致度很不错，水也非常的多，吊感很好，有腰也有跨，叫床声也好听，三下五除二，我受不了就直接交代了 她频道的外星人照没什么参考性，拍的照片风格和去年的褒姒如出一辙🤣另外照片不方便漏纹身？已后期处理 缺点：胸前符文，右臂些许符文 个人推荐评分：9.5（吃颜的厚米能接受网红科技脸冲）
❤18
Signed 布拿拿（巧克力增强版）
Showing the 12 most recent of 29 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.
@tatakai01 edited 2 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.
Citation-graph rank — 368,065 of 1,481,217entries 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.
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.
Named by 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“布拿拿塔塔开” (@tatakai01), 20,802 subscribers as measured 15 August 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.