Telegram RegisterThe public register of Telegram

Channel

奇趣百科🐼

@qiqubk

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

60,914subscribers

-50 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001578116847
TypeChannel
Username@qiqubk
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged2 times, most recently 14 August 2026
On Telegramt.me/qiqubk

Growth

60,91460,97760,945.56 August 2026 — 60,964 subscribers7 August 2026 — 60,966 subscribers8 August 2026 — 60,977 subscribers9 August 2026 — 60,949 subscribers10 August 2026 — 60,937 subscribers11 August 2026 — 60,934 subscribers12 August 2026 — 60,932 subscribers13 August 2026 — 60,914 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net -50. 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 60,905–60,986 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:4860,914-18
12 Aug 2026, 09:0460,932-2
11 Aug 2026, 09:4260,934-3
10 Aug 2026, 13:0660,937-12
9 Aug 2026, 16:3460,949-28
8 Aug 2026, 15:4260,977+11
7 Aug 2026, 12:0160,966+2
6 Aug 2026, 14:3360,964first reading

Engagement

175 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.453%
avg views ÷ 60,914 subscribers
Avg views / post
276
175 posts measured
Reaction rate
0.22%
reactions ÷ views · ER floor
Posts in window
175
of 175 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 20 of 175 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 14 August 2026
Posts held175 (6 August 202614 August 2026)
Views total48,244
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 22:19 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
120,000
Videos
190,000
Links
5,300

Lifetime counters from Telegram’s own channel header, read 14 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1h 34m
Average length
47s

Measured directly from 119 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

17 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 70.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1270.6%
👍15.88%
💅15.88%
💩15.88%
🔥15.88%
🤣15.88%

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 20 of the 175 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 17reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 175 most recent posts we hold, published 6 August 2026 to 14 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.

Advertising

Ad load
1.14%
2 of 175 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
56.0
over 2 measured posts
Median views · rest
235
over 173 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 175 most recent posts we hold, published 6 August 2026 to 14 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

14 Aug 2026, 13:31 UTC346 viewsread 14 August 2026
Photo

第 71 军某旅应急应战资金保障演练中出现的美金和新台币

14 Aug 2026, 13:31 UTC331 viewsread 14 August 2026
Video

台湾漢光演習"首封雪隧"出包! 士兵遭自家無人機"擊中腹部" 說到兩岸,北部今天舉行漢光演習,宜蘭首度演練封閉雪山隧道,沒想到竟然有士兵,當場被我方的無人機"擊中腹部"!不只軍方演習傳出意外,今天下午,北部7個縣市更史上首度演練"行動網路降速"!不只電子支付可能卡關、外送也會暫停。

14 Aug 2026, 13:31 UTC207 viewsread 14 August 2026
Video

8月14日 凌晨两三点,滁新高速上出现极其危险的一幕:一辆三轮车违规驶入高速,还在车道内逆向行驶。正常行驶的小车当时车速接近120码,司机惊险极限躲闪,万幸没有撞上,事后司机惊出一身冷汗 #逆行

14 Aug 2026, 13:31 UTC195 viewsread 14 August 2026
Video

太猛了 #车祸 #一箭双雕 两位 #自行车 集美 撞飞

14 Aug 2026, 13:31 UTC193 views0 reactionsread 14 August 2026
Video

8月13日 河南,监控拍下惊险一幕。两名老人带着孩子在家门口路边坐着,还有小孩直接坐在路中间玩耍闲聊。 一辆面包车转弯经过时疏于观察,直接撞了上去。 农村村口道路视线盲区多,看护人一定要看好孩子,不要让小孩在车道内停留玩耍;机动车进村、转弯必须减速慢行,提前观察,防范意外。一个比一个人才 #车祸 #撞人 #面包车

14 Aug 2026, 13:31 UTC186 viewsread 14 August 2026
Video

毕节大方 脾气真好啊,这用的什么功法 “中国女人吵架” 🤣🤣 #吵架

14 Aug 2026, 13:31 UTC175 viewsread 14 August 2026
Video

#精神小伙 开车耍帅,帅不过三秒,直接把车干报废了,这样开车保险公司给报吗? #作死 #危险驾驶 #车祸

13 Aug 2026, 23:14 UTC437 viewsread 14 August 2026
Video

8月13日 浙江,一名 #女司机 驾车准备转弯,先停车等候对向车辆通过。 等对向车会车完毕,她正要左转,没留意后方情况。一辆电动车从左侧超车,直接和小车发生碰撞。 事发后女司机紧张慌乱,误把油门当成刹车,车辆向前拖行、碾过电动车驾驶人,直到撞上路边石柱才停下。 这希望有奇迹吧 #车祸

Showing the 12 most recent of 175 posts we hold for @qiqubk. 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 — 267,117 of 1,350,102entries 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

【吃瓜🍉&搞笑】
@GQSP9 · 121,979
Telegram ranks this channel #11 of 53 here — alongside 52 others — read 14 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 197,978
Telegram ranks this channel #15 of 48 here — alongside 47 others — read 14 August 2026
吃瓜群众【 猎奇】
@chiguadog · 154,019
Telegram ranks this channel #17 of 48 here — alongside 47 others — read 12 August 2026
搞笑段子《问题不大》😹
@GXduanzi1 · 124,233
Telegram ranks this channel #18 of 55 here — alongside 54 others — read 13 August 2026
内涵搞笑🫥
@chiguahs · 110,754
Telegram ranks this channel #34 of 55 here — alongside 54 others — read 14 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“奇趣百科🐼” (@qiqubk), 60,914 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/qiqubk.

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.