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Telegram profile photo for Ana’s life in Germany

Channel

Ana’s life in Germany

@anagermany

On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

2,386subscribers

+9 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001985906082
TypeChannel
Username@anagermany
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/anagermany

Growth

2,3712,3892,3807 August 2026 — 2,377 subscribers7 August 2026 — 2,377 subscribers11 August 2026 — 2,371 subscribers14 August 2026 — 2,386 subscribers18 August 2026 — 2,389 subscribers20 August 2026 — 2,386 subscribers24 August 2026 — 2,384 subscribers30 August 2026 — 2,386 subscribers2,3867 August 202630 August 2026
8 measurements spanning 23 days, net +9. 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 2,368–2,392 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 16:032,386+2
24 Aug 2026, 21:442,384-2
20 Aug 2026, 22:182,386-3
18 Aug 2026, 04:422,389+3
14 Aug 2026, 22:162,386+15
11 Aug 2026, 12:332,371-6
7 Aug 2026, 12:012,377no change
7 Aug 2026, 11:572,377first reading

Engagement

5 posts held, back to 27 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.0%
avg views ÷ 2,386 subscribers
Avg views / post
407
2 posts measured
Reaction rate
16.4%
reactions ÷ views · ER floor
Posts in window
2
of 5 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 7 August 2026
Posts held5 (27 July 20267 August 2026)
Views total813
Reactions total133
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:05 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.

Reaction mix

427 reactions across 5 posts, in 5 distinct kinds. The most used accounts for 34.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 535720566427800817814834.7%
custom 540691368732159169613832.3%
custom 53549449867669181687417.3%
custom 51906262983004814475212.2%
🕊153.51%

Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 5 of the 5 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 427reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 27 July 2026 to 7 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

7 Aug 2026, 11:17 UTC252 views41 reactionsread 7 August 2026
Photo

Home🧺🤍 Получила наконец посылку Rhode – прошлую почта всё же потеряла, поэтому я осталась без лимитки с макадамией:( но у нас тут молочко-хайлайтер, карандаш в новом оттенке squeeze и моя уже пятая баночка glazing milk 👀 А ещё со вторника я буквально провалилась в цикл книг Элены Ферранте «Неополитанский квартет». Читаю уже третью книгу и очень-очень вам рекомендую эти романы для летнего чтения!

custom 535720566427800817820custom 54069136873215916969custom 53549449867669181687🕊5

3 Aug 2026, 06:55 UTC561 views92 reactionsread 7 August 2026
Photo

Sardinian postcards💌

custom 540691368732159169642custom 535720566427800817830🕊10custom 535494498676691816810

30 Jul 2026, 10:34 UTC836 views142 reactionsread 7 August 2026
Photo

Birthday morning in Sardinia! 🩵🍾🐚 Каждый год загадываю два желания: быть счастливой, и здоровья моим родным и близким – самые важные для меня вещи!

custom 535720566427800817869custom 540691368732159169638custom 535494498676691816820custom 519062629830048144715

28 Jul 2026, 15:51 UTC772 views67 reactionsread 7 August 2026
Photo

I’m in love!🤎 Последнюю неделю ношу эту троицу каждый день: любимчика freckle, новый для меня оттенок румян tan line + бронзер. Румяна Rhode обожаю уже год, бронзер тоже очень понравился! Наношу все оттенки кистью, чтобы не переборщить, и получаю мой идеальный цвет. * со свежим загаром сейчас – вообще мэтч! #beauty

custom 519062629830048144729custom 535494498676691816818custom 540691368732159169612custom 53572056642780081788

27 Jul 2026, 15:06 UTC730 views85 reactionsread 7 August 2026
Photo

Отпускные тарелочки 🦐 За четыре дня в Италии стала состоять на 50% из морепродуктов и на другие 50% – из пасты. За кадром ещё были паста с баклажанами и cacio e pepe, но их мы съедали так быстро, что сделать фото просто не успевала :) #foodjoy

custom 540691368732159169637custom 535720566427800817821custom 535494498676691816819custom 51906262983004814478

Showing the 5 most recent of 5 posts we hold for @anagermany. 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.

lettres d’elina
@lettreselina · 42,726
Telegram ranks this channel #35 of 66 here — alongside 65 others — read 29 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“Ana’s life in Germany” (@anagermany), 2,386 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/anagermany.

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.