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Channel

娜娜(泰兰德)

@nnnnana2005

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

1,242subscribers

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003816684677
TypeChannel
Username@nnnnana2005
Description@nana2005
Created16 July 2026 — measured — dated from the channel’s first post
First recorded3 October 2026
Last confirmed live3 October 2026
Measurements held1
On Telegramt.me/nnnnana2005

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Oct 2026, 04:221,242first reading

Engagement

20 posts held, back to 16 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
29.2%
avg views ÷ 1,242 subscribers
Avg views / post
362
16 posts measured
Reaction rate
0.52%
reactions ÷ views · ER floor
Posts in window
19
of 20 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 16 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 3 October 2026
Posts held20 (16 July 2026 – 3 October 2026)
Views total5,793
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 04:22 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
9
Videos
1
Links
7

Lifetime counters from Telegram’s own channel header, read 3 October 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.

Video runtime
10s
Average length
10s

Measured directly from 1 video 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

19 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 52.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1052.6%
👍736.8%
❤‍🔥210.5%

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 20 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 July 2026 to 3 October 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

3 Oct 2026, 03:50 UTC23 viewsread 3 October 2026
Photo

🎰 泰妹娜娜林林福利抽奖 📮 抽奖条件: 🎫 加入-杭州嫩妹馆 🎫 加入-杭州嫩妹馆榜单 🎫 加入-杭州嫩妹馆新人工兵 🎫 加入-娜娜(泰兰德) 🎫 加入-林林(小泰妹) 🍀 每1分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 娜娜 @nnnana2005 半价p × 1 林林 @llinlinn2005 半价p × 1 💡 活动说明: 中奖五日内兑换超时作废 📅 开奖日期:(UTC+8) 2026年10月06日 14时34分00秒

3 Oct 2026, 03:11 UTC42 viewsread 3 October 2026

半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】泰妹 漂亮 皮肤光滑 手感好 服务态度好 做爱反馈好 【不足】床不行,咯吱咯吱响 【妹子花名】:#娜娜 【联系方式】:@nnnana2005 【妹子年龄】:21 22左右 【验证留名】:Silas 【验证时间】:10月2日 【大概位置】:拱墅 【修车水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ④ 毒龙 【人照相似】:9分相似,和认证视频差不多 【身高身材】:168左右, 【凶器罩杯】:B,挺拔,富有弹性,光滑,手感一流 【湿度紧度】:紧度尚可,水量多 【环境细节】:房间还可以,床比较响,后来跑客厅去做了 【个人卫生】:爱干净,有漱口水,牙刷,一次性浴巾 【时间管理】:宽松,不粗不赶 【服务点评】:服务意识好,口技好,猛蛇,做爱很投入 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评 ✅ 【流程小文】:…

3 Oct 2026, 03:01 UTC39 viewsread 3 October 2026

#杭州肯德基 https://t.me/kdjqjt #好评 80-100 #中好评 65-80 #差评 0-65 【出击时间】:1002 【出击老师】:娜娜 【联系方式】:@nnnana2005 【出击留名】:牛来 【开课位置】:拱墅 【修车水费】:工兵p 【人照评分满分10】:9(人照相似度/妆容) 【颜值评分满分20】:17(耐看/高颜值/一般) 【身材评分满分10】:8(皮肤/身材/罩杯) 【吊感评分满分20】:19(户型/紧度/水量/包裹感) 【服务评分满分10】:8(流程化/女友感/三件套) 【态度评分满分20】:18(主动询问/自觉服务) 【环境评分满分10】:9(日租房/公寓/高档小区) 【综合评分满分100】:88(以上相加) 情绪价值描述: 【过程描述】:有的打✅ 舌吻 ✅ 口活 ✅ 69舔穴 毒龙 【过程描述】:过程小黄文(200字以上) 群里发现新上的老师,泰妹,看资料很棒,大熊长腿嫩…

2 Oct 2026, 16:06 UTC123 views1 reactionsread 3 October 2026

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】: #超级好评 【优势】服务态度好,人很漂亮,异域风情 【不足】 房间的床该换了。 【出击时间】:10.2 【老师花名】:娜娜 @nnnana2005 【出击留名】:生命在于运动 【开课位置】:拱墅 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 ✓ ② 69舔逼 ✓ ③ 情绪价值 ✓ ④ 毒龙 【人照评价】:基本无差,很漂亮 【身材评价】: 身材匀称,正正好 【胸部评价】:b+,整体比例很好。 【鲍鱼评价】:毛不多,没细看。水很多 【服务评价】:服务认真细致,很舒服,耐桩,很投入。有点敏感。 【态度评价】:态度很好,有礼貌。 【环境评价】:换个床吧,感觉课室配不上妹妹 【过程描述】: #流程细节:(大于100字) 提前一天约好时间,进门看到妹妹基本无差,妆容精致很漂亮。脱去衣物,身材匀称…

❤1

2 Oct 2026, 11:34 UTC220 views2 reactionsread 3 October 2026
Photo

感谢哥哥支持,😍🥰 哥哥真好

❤‍🔥2

2 Oct 2026, 11:12 UTC223 views1 reactionsread 3 October 2026

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】: #好评 【优势】腿长胸挺,做爱有激情。 【不足】皮肤色泽较深不是很细腻,服务仅是略优于嫩妹三件套。 【出击时间】:10月2日 【老师花名】:#娜娜 (@nnnana2005) 【出击留名】:毛毛虫🐛 【开课位置】:新德佳苑 【修车水费】:工兵P 【高端服务】:有的打✅ ① 舌吻 √ ② 69舔逼 X ③ 情绪价值 √ ④ 毒龙 X 【人照评价】:人照相似度85%,确定是本人,就是照片美颜的优点厉害了。 【身材评价】:165,泰国妹子的肤色通常偏暗,但腿是真的长,无纹身。 【胸部评价】:B,双乳坚挺,乳头小黑,手感极佳。 【鲍鱼评价】:普通蝴蝶穴,外阴唇偏大,没有六九,所以没有细品味道,穴紧偏干 【服务评价】:服务到位,做爱很有激情。 【态度评价】:无机车无罚站,就是设了半个小时的闹钟,有所干扰…

❤1

2 Oct 2026, 09:02 UTC244 views2 reactionsread 3 October 2026
Photo

谢谢哥哥满意,支持。🥰🩷

👍2

Showing the 12 most recent of 20 posts we hold for @nnnnana2005. 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 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.

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 3 October 2026 — this entry's latest reading, not the date you are reading this.

“娜娜(泰兰德)” (@nnnnana2005), 1,242 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/nnnnana2005.

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.