Channel
@TributeNewsEN
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
40,706subscribers
-1,847 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001843775061 |
|---|---|
| Type | Channel |
| Username | @TributeNewsEN |
| Description | @Tribute — a convenient service for monetization on Telegram. Support: @TributeCreatorBot For cooperation: [email protected] |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/TributeNewsEN |
Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 90% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 18:15 | 40,706 | -87 |
| 16 Sept 2026, 07:00 | 40,793 | -50 |
| 14 Sept 2026, 10:36 | 40,843 | -51 |
| 12 Sept 2026, 19:55 | 40,894 | -67 |
| 10 Sept 2026, 18:17 | 40,961 | -141 |
| 7 Sept 2026, 14:37 | 41,102 | -112 |
| 4 Sept 2026, 16:19 | 41,214 | -77 |
| 3 Sept 2026, 00:14 | 41,291 | -34 |
| 2 Sept 2026, 00:43 | 41,325 | -54 |
| 31 Aug 2026, 21:25 | 41,379 | -41 |
| 30 Aug 2026, 18:05 | 41,420 | -33 |
| 29 Aug 2026, 18:23 | 41,453 | -26 |
| 28 Aug 2026, 18:56 | 41,479 | -63 |
| 27 Aug 2026, 19:06 | 41,542 | -21 |
| 26 Aug 2026, 19:27 | 41,563 | -44 |
| 25 Aug 2026, 21:52 | 41,607 | -43 |
| 25 Aug 2026, 00:16 | 41,650 | -72 |
| 23 Aug 2026, 15:05 | 41,722 | -103 |
| 21 Aug 2026, 22:27 | 41,825 | -54 |
| 20 Aug 2026, 15:24 | 41,879 | first reading |
38 posts held, back to 17 July 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 87 pages 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.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 38 (17 July 2026 – 22 September 2026) |
| Views total | 38,887 |
| Reactions total | 146 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 22:30 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.
Lifetime counters from Telegram’s own channel header, read 22 September 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.
279 reactions across 37 posts, in 8 distinct kinds. The most used accounts for 59.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 166 | 59.5% | |
| 👍 | 41 | 14.7% | |
| 🔥 | 39 | 14.0% | |
| 🎉 | 13 | 4.66% | |
| 💯 | 7 | 2.51% | |
| 😁 | 5 | 1.79% | |
| 👏 | 4 | 1.43% | |
| 🤔 | 4 | 1.43% |
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 37 of the 38 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 279 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 17 July 2026 to 22 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.
Don’t Justify a Subscription With a Huge Content Library A large content library can help sell the first month. “87 guides, 45 deep dives, a huge archive of lectures from the past five years” sounds impressive. But a month later, a subscriber may think: “I only used two of those resources. Why should I pay again for everything else? I probably won’t use it anyway.” People don’t judge value by how much content th…
❤3🔥2
Don’t be afraid to give away too much for free (Another Perspective on Free Content) If you have to deliberately hold information back just to make people buy your paid product, the problem may not be your free content. It may be the paid product itself. The risk isn’t giving away too much for free. The real risk is solving the same problem, in the same way, that you later ask people to pay for. For example, a t…
❤2👍2💯1
Why people cancel even when they like it
❤4🔥4🎉2🤔1
AI is making answers cheaper. Decisions are becoming more valuable In the past, information itself could be what made a creator valuable. How to build a workout plan. How to write a resume. Today, AI can give you an answer in a minute — plus 20 more options. But that creates a new problem: the hard part is no longer finding an answer. It’s choosing the right one. So the value shifts from: “Here are 30 ways to l…
❤6👍3
More free access isn’t always better The longer the free trial, the more time people have to explore a paid channel. So the chance they’ll stay should be higher too. Makes sense, right? Tribute data showed us a different picture. We looked at more than 33,000 users with different trial lengths. The highest conversion to the first payment came from 12–24 hour trials: – 12 hours — 9.3% – 24 hours — 9.73% – three d…
❤3👍2🎉1
The underrated mechanics of gift subscriptions Gift subscriptions have an underrated use case: they can help bring in new paying subscribers. Normally, creators lower the barrier for new users themselves by offering a discount, a trial, or free access. But gift subscriptions work differently. Someone who already sees value in the paid channel covers the recipient’s first experience. We looked at Tribute data fro…
🔥5❤2👍2
The easier it is to leave, the easier it is to subscribe When someone sees a subscription for $5, they’re not only asking themselves, “Am I willing to pay $5?” Another thought may be: “Now I’ll be charged every month for who knows how long.” Research on long-term services suggests that easy cancellation reduces the pressure of that commitment and can make people more willing to buy. That’s why it can help to say …
❤9👍5🔥2
An honest downside can strengthen a sale When writing a sales post, it’s tempting to focus only on the benefits. But research on two-sided messaging shows that acknowledging a genuine limitation can sometimes increase trust and make the rest of your claims more convincing. For example: “This course isn’t for you if you want to learn English without doing homework.” For one person, that’s a downside. Another might …
❤4🤔2👍1
We ran a study — and even we were surprised by the results We wanted to understand which payment usually marks the beginning of a “repeat customer.” To find out, we analyzed more than 3 million buyer–creator relationships on Tribute across subscriptions, donations, and digital products. But the real surprise came from something else entirely. Among users who paid the same creator a second time, most chose the sam…
❤3👍2🔥2
Nearly 3 million subscription cancellations — here’s what we found We analyzed nearly 3 million subscription cancellations on Tribute. Among those who canceled voluntarily, around 20% later came back. But here’s what’s even more interesting. About half of all returns happen within the first month. Yet nearly 30% happen after three months or more. This means canceling a subscription doesn’t always mean: “I don’t …
❤3👍3🔥1
A poll alone does almost nothing There’s a well-known phenomenon called the IKEA effect: people tend to value things more when they’ve helped create them. But there’s an important detail. Value doesn’t appear simply because someone made a choice or tapped an option in a poll. What matters is that they see their contribution reflected in the final result. Now let’s apply this to a paid channel. You can ask subscri…
❤2
More products don’t always mean more sales It seems logical: the more digital products a creator offers, the more likely subscribers are to find something that fits their needs. But a large field experiment involving 1.6 million users found an interesting effect. As the number of recommended products increased, the likelihood of a purchase initially went up. But after a certain point, it started to drop sharply. …
❤3💯1
Showing the 12 most recent of 38 posts we hold for @TributeNewsEN. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
📊 Let's test your intuition The average creator on Tribute starts with 12 subscribers in their first week. We calculated how far they grow in a year — and the number surprised us. Your guess?
The shares total 109%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 38 most recent posts we hold, published 17 July 2026 to 22 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Named by 8 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.
Named by
Channels on the register whose posts name this channel's handle.
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 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Tribute | Monetize your content” (@TributeNewsEN), 40,706 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/TributeNewsEN.
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.