Channel
@learnwitholiver_dutch
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
973subscribers
+4 since we began measuring on 28 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001345150403 |
|---|---|
| Type | Channel |
| Username | @learnwitholiver_dutch |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 September 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/learnwitholiver_dutch |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 22:37 | 973 | +4 |
| 28 Sept 2026, 15:22 | 969 | no change |
| 28 Sept 2026, 14:47 | 969 | first reading |
20 posts held, back to 18 September 2026 — the 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 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 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 20 (18 September 2026 – 28 September 2026) |
| Views total | 1,347 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Sept 2026, 15:22 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 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 18 September 2026 to 28 September 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.
de oorzaak = cause Een onderzoek naar de oorzaak van zijn dood is nog aan de gang. = An investigation into the cause of his death is ongoing. https://www.learnwitholiver.com/dutch/daily-sentence-2532
veroorzaken = to cause Alcohol veroorzaakt ieder jaar duizenden doden. = Alcohol causes thousands of deaths every year. https://www.learnwitholiver.com/dutch/daily-sentence-2421
droog = dry (adj) Het gras is erg droog. = The grass is very dry. https://www.learnwitholiver.com/dutch/daily-sentence-764
nemen = 1. to take 2. to get Bedankt dat je me mee uit eten hebt genomen. = Thank you for taking me out to dinner. https://www.learnwitholiver.com/dutch/daily-sentence-1452
ziek = ill, sick Ik ben erg ziek. = I'm very ill. https://www.learnwitholiver.com/dutch/daily-sentence-151
❤1
wijsmaken = to fool, to deceive Je kunt Robert niets wijsmaken, hij kent de feiten. = You cannot fool Robert, he knows the facts. https://www.learnwitholiver.com/dutch/daily-sentence-524
fascineren = to fascinate Hij is gefascineerd door sterrenkunde. = He is fascinated by astronomy. https://www.learnwitholiver.com/dutch/daily-sentence-1778
het kopje = cup (noun) Mag ik nog een kopje koffie? = Can I have more coffee, please? https://www.learnwitholiver.com/dutch/daily-sentence-1140 We also have an Italian Telegram Group: https://t.me/learnwitholiver_italian
bewerken = to cultivate, to fabricate, to process, to edit Bewerkte voedingsmiddelen hebben doorgaans een hogere winstmarge dan natuurlijke voedingsmiddelen. = Processed foods normally have a higher profit margin than natural foods. https://www.learnwitholiver.com/dutch/daily-sentence-2181
de mist = fog, mist Vanwege dichte mist ontstond een botsing waarbij veel auto's betrokken waren. = Because of dense fog a collision of many cars took place. https://www.learnwitholiver.com/dutch/daily-sentence-496
doen = to do, to put Bedankt voor alles dat je voor me hebt gedaan. = Thank you for everything you did for me. https://www.learnwitholiver.com/dutch/daily-sentence-395
roken = to smoke (a cigarette) Spanje heeft een strenge anti-rookwet ingesteld. = Spain has introduced a tough anti-smoking law. https://www.learnwitholiver.com/dutch/daily-sentence-2299
Showing the 12 most recent of 20 posts we hold for @learnwitholiver_dutch. 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.
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.
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.
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.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“LearnWithOliver Dutch” (@learnwitholiver_dutch), 973 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/learnwitholiver_dutch.
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.