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Telegram profile photo for 机场吃瓜品鉴中心👮‍♀频道

Channel

机场吃瓜品鉴中心👮‍♀频道

@HOLMES_NB

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

4subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001916299635
TypeChannel
Username@HOLMES_NB
Description接码hk,美国,加拿大🌈TG大会元便宜开160CNY@huln2333🎈🌈私聊拉黑🌈,私聊@HOLMES_PCX🌈
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live15 August 2026
Measurements held2
On Telegramt.me/HOLMES_NB

Growth

47 August 2026 — 4 subscribers13 August 2026 — 4 subscribers7 August 202613 August 2026
2 measurements spanning 6 days. 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 3–5 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:474no change
7 Aug 2026, 11:404first reading

Engagement

20 posts held, back to 5 November 2023the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 13 December 2023. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
3
Links
5

Lifetime counters from Telegram’s own channel header, read 13 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.

Reaction mix

3 reactions across 1 post, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍266.7%
133.3%

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 3reactions 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 5 November 2023 to 13 December 2023, 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

30 Nov 2023, 03:06 UTC66 viewsread 13 August 2026
Forwarded from @jctest6666Photo

古茗机场节点全红 疑似跑路 曾经就有小道消息说这机场前身是gg云、梨花猫、莉娜🐻 此机场还出过双不限套餐 属实是Buff叠满了🤣👌

10 Nov 2023, 09:37 UTC83 viewsread 13 August 2026
Forwarded from @WeGroupRobot

🎁HOLMES 发起了通用抽奖活动 新人福利 ├满人开奖 (10人) ├参与关键词:HOLMES牛逼 ├奖品列表: ├ 3.33元支付宝口令红包 ×1份 【如何参与?】在群组中回复关键词『HOLMES牛逼』参与活动。

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

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

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.

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

“机场吃瓜品鉴中心👮‍♀频道” (@HOLMES_NB), 4 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/HOLMES_NB.

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.