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Channel

瑜伽老师小奶糖🍬频道

@NAITANGnt

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

1,117subscribers

+3 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003392424607
TypeChannel
Username@NAITANGnt
CreatedBetween 1 November 2025 and 27 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/NAITANGnt

Growth

1,1141,1171,115.56 August 2026 — 1,114 subscribers6 August 2026 — 1,114 subscribers9 August 2026 — 1,115 subscribers12 August 2026 — 1,117 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +3. 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 1,114–1,117 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:071,117+2
9 Aug 2026, 17:031,115+1
6 Aug 2026, 20:021,114no change
6 Aug 2026, 19:531,114first reading

Engagement

19 posts held, back to 27 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
74.3%
avg views ÷ 1,117 subscribers
Avg views / post
830
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held19 (27 January 20266 August 2026)
Views total3,321
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:02 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.

Recent posts

30 Jul 2026, 12:47 UTC782 viewsread 6 August 2026
Photo

把自己收拾得精致好看💓 心情会好,运气也会更好💓

29 Jul 2026, 11:25 UTC893 viewsread 6 August 2026

【验证留名】:Lena314😊 【验证时间】:7.29 【修车水费】:1800两次 【服务内容】:态度好,服务牛 不敷衍 【颜值身材】:皮肤白,身材一流 【凶器罩杯】:C 【体验细节】:老师穿着黑色的有点透褐色小裙子,一头长发格外迷人,老师洗的很仔细,还来了个水中潇,第一次在洗澡的时候有老师给吹,奶糖老师的服务真的没的说,擦干水来到床上先温存一会,再来了个69,没控制住,差点喷了,赶紧带上套开干,老师妹妹💦多,没几分钟缴械投降了,躺着休息了一会,老师还温柔的帮我按摩,按着按着,二弟又起来了,先来了个观音坐莲,揉捏着老师的大奶子,听到哗哗的水声,老师给的反应和强,换了几个动作也完美的发射了,看的出老师也很享受,愉快的时间总是过得那么快,下次还会再来 【推荐程度】: 10/10满分,0颜值,0身材,服务,0态度,0性价比(五个模块均给出评分) 【联系方式】: 小奶糖 @XNTxiaotang 【温馨提醒】:报告仅供参考,请理性

17 May 2026, 11:57 UTC≈5,830 viewsread 6 August 2026

【验证留名】:计划处 【验证时间】:5-17 【修车水费】:1800pp 【服务内容】:课表齐 【颜值身材】:99999 【凶器罩杯】:C 【体验细节】:一进门就看到老师穿着情趣装,皮肤挺白,两只圆润的大白兔犹抱琵琶半遮面,使人忍不住就想试试手感,小狼自然是一把抓过顷刻炼化!奶胸妹的胸相当结实,柔软又不失弹性,虽然老师的胸很大,但依旧十分挺拔。见面刚聊了几句就能感觉到老师的热情亲切,接下来就是和奶胸一起沐浴,清洗很温柔细致,情绪价值拉满。洗到一半还直接含住了我小兄弟,湿润柔软毫无齿感,给我爽的魂都飞了,技术满分。 事逼行为】:无 【优点缺点】:10分 【推荐程度】: 10/10满分,0颜值,0身材,服务,0态度,0性价比(五个模块均给出评分) 【联系方式】: @XNTxiaotang 小奶糖 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

3 May 2026, 11:15 UTC≈6,680 viewsread 6 August 2026
Photo

漂亮的话不会说但漂亮的我正在说话😁

28 Mar 2026, 15:26 UTC≈7,950 viewsread 6 August 2026

【验证留名】:Elmira 【验证时间】:3/28/2026 【修车水费】:1000一次 【服务内容】:69 舌都有很齐 【颜值身材】:奶思 【凶器罩杯】:CCCC 【出击体验】: 见到奶糖老师,属于高颜值的,老师本人身材很均匀,不愧是瑜伽老师。长相甜美,温柔,年轻嫩妹,下面很紧,服务一流,特别多水,啪啪啪的声音,跟老师的叫声,整个人的魂都被牵住了,包裹感十足,体验特别精彩完美 会再返。 【联系方式】:奶糖 @XNTxiaotang

Showing the 12 most recent of 19 posts we hold for @NAITANGnt. 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.

Citation-graph rank

Citation-graph rank — 727,900 of 1,480,944entries 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“瑜伽老师小奶糖🍬频道” (@NAITANGnt), 1,117 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/NAITANGnt.

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.