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Channel

桃桃频道🍑素材|文案|头像 🍑

@TTUFO

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

13,161subscribers

+45 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001676760069
TypeChannel
Username@TTUFO
Description#狗推 #头像 #素材 #套图 #文案 #美女 历经万般红尘劫,犹如凉风轻拂面 心美一切皆美,情深万象皆深 每一个灵魂都是独特的,都有各自的美德和过错 🍑 欢迎广告投放 700u月 不议价 不议价 不议价 代开会员 代开会员 广告合作:@TGVIPnn
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live29 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/TTUFO

Growth

13,11613,17713,146.511 August 2026 — 13,116 subscribers11 August 2026 — 13,119 subscribers12 August 2026 — 13,130 subscribers13 August 2026 — 13,127 subscribers15 August 2026 — 13,132 subscribers16 August 2026 — 13,124 subscribers17 August 2026 — 13,122 subscribers19 August 2026 — 13,117 subscribers20 August 2026 — 13,125 subscribers21 August 2026 — 13,141 subscribers22 August 2026 — 13,147 subscribers24 August 2026 — 13,150 subscribers25 August 2026 — 13,164 subscribers26 August 2026 — 13,166 subscribers27 August 2026 — 13,170 subscribers28 August 2026 — 13,177 subscribers29 August 2026 — 13,161 subscribers13,16111 August 202629 August 2026
17 measurements spanning 18 days, net +45. 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 13,107–13,186 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 14:0213,161-16
28 Aug 2026, 11:4213,177+7
27 Aug 2026, 11:4813,170+4
26 Aug 2026, 13:5313,166+2
25 Aug 2026, 15:3213,164+14
24 Aug 2026, 13:3713,150+3
22 Aug 2026, 23:5213,147+6
21 Aug 2026, 12:5813,141+16
20 Aug 2026, 13:2213,125+8
19 Aug 2026, 16:0413,117-5
17 Aug 2026, 17:4613,122-2
16 Aug 2026, 16:2613,124-8
15 Aug 2026, 01:0513,132+5
13 Aug 2026, 15:0813,127-3
12 Aug 2026, 13:0513,130+11
11 Aug 2026, 12:3513,119+3
11 Aug 2026, 02:4613,116first reading

Engagement

37 posts held, back to 23 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 29 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.8%
avg views ÷ 13,161 subscribers
Avg views / post
2,210
29 posts measured
Reaction rate
0.071%
reactions ÷ views · ER floor
Posts in window
29
of 37 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 18 of 29 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 29 August 2026
Posts held37 (23 July 202629 August 2026)
Views total64,192
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 19:20 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
2,110
Videos
850
Links
40

Lifetime counters from Telegram’s own channel header, read 29 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
6m 14s
Average length
10s

Measured directly from 36 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

40 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 85.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3485.0%
👍37.50%
12.50%
🔥12.50%
😁12.50%

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 23 of the 37 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 23 July 2026 to 29 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 37 we hold a reading for · 3%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @TTUFO. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 37 most recent posts we hold for this entry, published 23 July 2026 to 29 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

26 Aug 2026, 23:12 UTC998 views3 reactionsread 29 August 2026
Video

我还有钱要挣 再晚都要回家 不该认识的人我以后也不会再认识了 我清楚什么事该做什么事不该做 我相信我会慢慢变好

3

26 Aug 2026, 00:02 UTC≈1,240 views1 reactionsread 29 August 2026
Video

“总以为时间过的很慢 可是夏天也要结束了”

1

25 Aug 2026, 03:19 UTC≈1,350 views0 reactionsread 29 August 2026
Video

“生活给了我很多选择,我一次都没选对,嘴上说顺其自然,其实我是无能为力”

24 Aug 2026, 01:24 UTC≈1,540 viewsread 29 August 2026
Video

你可以在夜里崩溃, 但我希望天一亮你又能顶住四面八方的压力。

23 Aug 2026, 03:00 UTC≈1,700 viewsread 29 August 2026
Video

我哪有什么退路 父母不是 爱情不是 只有经济独立 可是生活好苦 赚钱好难。

22 Aug 2026, 00:37 UTC≈1,810 views1 reactionsread 29 August 2026
Video

这世间的路你不可能走完,总有走岔的时候。这个时候包容你的只有那些品格值得尊敬的人。

1

20 Aug 2026, 23:05 UTC≈1,910 viewsread 29 August 2026
Video

是我把自己看的太重要了 还以为我在你心里是个很特别的存在

20 Aug 2026, 00:05 UTC≈2,050 viewsread 29 August 2026
Video

你太会权衡利弊了 后悔这两个字不会出现在你的字典里

19 Aug 2026, 00:52 UTC≈2,100 views2 reactionsread 29 August 2026
Video

风雪压我两三年 加在一起是五年 没有人可以利用我 因为我的废物

2

17 Aug 2026, 21:57 UTC≈2,210 viewsread 29 August 2026
Video

事实上你去翻他的过去 你不是嫉妒 只是难过那些好他从未给过你.

17 Aug 2026, 00:08 UTC≈2,260 views1 reactionsread 29 August 2026
Video

不管活成什么样子,都不要把责任推给任何人,一切苦乐都是自己造成的,任何一次选择都有它对应的结果,愿赌服输是一个成年人该有的品质。

👍1

Showing the 12 most recent of 37 posts we hold for @TTUFO. 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.

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.

文案馆向西走/头像/素材
@YTT786 · 88,474
Telegram ranks this channel #5 of 65 here — alongside 64 others — read 17 August 2026
🐦‍🔥佳佳文案吧|素材|壁纸|头像
@wenan888 · 66,432
Telegram ranks this channel #6 of 53 here — alongside 52 others — read 20 August 2026
吃瓜中心|热点曝光
@chigua6680 · 241,431
Telegram ranks this channel #7 of 59 here — alongside 58 others — read 11 August 2026
文案库(治愈、励志、情感)
@wenanku · 66,103
Telegram ranks this channel #10 of 38 here — alongside 37 others — read 21 August 2026

This channel appears in 4 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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“桃桃频道🍑素材|文案|头像 🍑” (@TTUFO), 13,161 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/TTUFO.

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.