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Telegram profile photo for 奶奇的频道

Channel

奶奇的频道

@naiqi01

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

764subscribers

+88 since we began measuring on 17 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003978735868
TypeChannel
Username@naiqi01
CreatedBetween 1 April 2026 and 25 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 August 2026
Last confirmed live31 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 31 August 2026
On Telegramt.me/naiqi01

Growth

67676472017 August 2026 — 676 subscribers17 August 2026 — 676 subscribers18 August 2026 — 722 subscribers25 August 2026 — 725 subscribers31 August 2026 — 764 subscribers17 August 202631 August 2026
5 measurements spanning 14 days, net +88. 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 663–777 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
31 Aug 2026, 20:23764+39
25 Aug 2026, 02:32725+3
18 Aug 2026, 17:25722+46
17 Aug 2026, 20:45676no change
17 Aug 2026, 20:30676first reading

Engagement

20 posts held, back to 25 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
30.8%
avg views ÷ 764 subscribers
Avg views / post
236
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held20 (25 July 202617 August 2026)
Views total471
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 20:45 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
24s
Average length
12s

Measured directly from 2 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 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 1 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 25 July 2026 to 17 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

17 Aug 2026, 14:05 UTC151 viewsread 17 August 2026
Photo

🎰 艺术学院七夕给兄弟们送福利了 📮 参与条件: 🪪 必须设置用户名 🎫 加入-懒懒的可爱空间💕 🎫 加入-初音的聚宝盆 🎫 加入-奶奇的频道 🎫 加入-内蒙古呼和浩特艺术学院 └ 🎟️ 发言数大于 5 条 🎫 加入-内蒙古呼和浩特木子修车论坛💦 🎁 奖品内容: 💰️ 初音1P减一张优惠卷 × 2 💰️ 初音1P白嫖卷 × 1 💰️ 奶琪1P减一张优惠卷 × 2 💰️ 奶琪1P半价优惠卷 × 1 💰️ 懒懒1P减1张优惠卷 × 2 💰️ 懒懒1P半价卷 × 1 💰️ 艺术学院积分1000 × 1 💰️ 艺术学院积分200 × 10 💰️ 艺术学院积分500 × 3 ⚠️ 抽奖说明: 1️⃣群里发言均可参加抽奖(乱凑发言作废) 2️⃣48小时内兑换过期作废 3️⃣参与抽奖人退群,炸号,无用户名,奖品作废 📅 开奖日期:(北京时间) 2026年08月19日 13时00分00秒

30 Jul 2026, 17:49 UTC913 viewsread 17 August 2026
Forwarded from @wlmqxfPhoto

【时间】:2026-07-30 【老师】:奶琪 【留名】:qq 【评价】:👍 好评 【人照】:9.0 【颜值】:10.0 【身材】:10.0 【服务】:10.0 【态度】:9.0 【环境】:10.0 【综合】:9.67 【过程】:偶然一次看到奶琪老师 立即决定出击 第一次已经不记得了只记得意犹未尽 随后已经找了奶琪老师三四次了 每一次感觉都很好 老师态度很好每次都保持一样的态度一样的热情 很细心很耐心 老师的技术也很好服务很到位 会深喉 舌头很软 身材更是没得说 前凸后翘 老师也长在我的审美上 也不冷场 极力推荐!

30 Jul 2026, 13:06 UTC762 viewsread 17 August 2026
Forwarded from @wlmqxf

【时间】:2026-07-30 【老师】:奶琪 【留名】:精灵批 【评价】:👍 好评 【人照】:9.0 【颜值】:8.0 【身材】:9.0 【服务】:9.0 【态度】:10.0 【环境】:8.0 【综合】:8.83 【过程】:奶琪老师科室在小区,进门之后,看见奶琪老师穿着紧身半截袖,俩个巨乳在胸前晃荡,年轻能发育这么好不容易,简单洗漱一点,老师脱了衣服,胸直接显现了出来,是木瓜吊钟奶,特别大,手感还好,没听过这个词的可以搜一下,身材也比较匀称,皮肤白,大胸太加分了,第一次见木瓜胸。 开始服务之后,老师简单调情开始亲咪咪,嘴巴就是很厉害,口的时候每一下都很舒服,包裹的严严实实,还会旋转口,光这个口我都能打满分,戴套之后,抓着大胸一顿操作,整个过程很舒服。 总结:老师比较年轻,胸大,胸型漂亮,口活巨好,很推荐

Showing the 12 most recent of 20 posts we hold for @naiqi01. 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 — 803,418 of 1,630,085 entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 4 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 31 August 2026 — this entry's latest reading, not the date you are reading this.

“奶奇的频道” (@naiqi01), 764 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/naiqi01.

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.