Would you visit Liechtenstein for its crypto scene? ✈️₿
- ✈️ Already planning!50%
- 🤔 Intriguing, maybe18%
- 🏖️ Just for the travel18%
- ❌ Not my vibe14%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤1

Channel
@amazingworldtravel
On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Reactions · Posts · Polls · Telegram's recommendations · Cite this entry
1,020,986subscribers
-79,651 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1002178125373 |
|---|---|
| Type | Channel |
| Username | @amazingworldtravel |
| Description | This channel is about travelling the world and about how amazing our world is. |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/amazingworldtravel |
Travel — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 96% 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 |
|---|---|---|
| 25 Sept 2026, 03:41 | 1,020,986 | -11,077 |
| 17 Sept 2026, 09:21 | 1,032,063 | -2,885 |
| 15 Sept 2026, 09:37 | 1,034,948 | -3,822 |
| 13 Sept 2026, 15:01 | 1,038,770 | -3,516 |
| 11 Sept 2026, 16:38 | 1,042,286 | -3,159 |
| 9 Sept 2026, 05:58 | 1,045,445 | -6,021 |
| 6 Sept 2026, 01:41 | 1,051,466 | -4,449 |
| 3 Sept 2026, 18:15 | 1,055,915 | -1,548 |
| 2 Sept 2026, 11:12 | 1,057,463 | -2,031 |
| 1 Sept 2026, 12:03 | 1,059,494 | -1,790 |
| 31 Aug 2026, 13:06 | 1,061,284 | -2,377 |
| 30 Aug 2026, 11:24 | 1,063,661 | -1,421 |
| 29 Aug 2026, 10:34 | 1,065,082 | -1,395 |
| 28 Aug 2026, 13:33 | 1,066,477 | -2,131 |
| 27 Aug 2026, 10:13 | 1,068,608 | -940 |
| 26 Aug 2026, 10:01 | 1,069,548 | -1,529 |
| 25 Aug 2026, 11:48 | 1,071,077 | -1,521 |
| 24 Aug 2026, 14:13 | 1,072,598 | -3,146 |
| 22 Aug 2026, 21:45 | 1,075,744 | -2,694 |
| 21 Aug 2026, 08:16 | 1,078,438 | first reading |
121 posts held, back to 3 August 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 105 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. It is computed over the 40 of 65 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 121 (3 August 2026 – 26 September 2026) |
| Views total | 85,235 |
| Reactions total | 116 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 18:54 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 26 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.
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 66 of this channel’s own posts over the last 30 days: across 64 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 17 hours of being posted; a typical post has already reached 10.1% of its 24-hour view count within the first hour, and 47.8% within the first six; the median 24-hour reach across those posts is 806 views — 0.078% of this channel’s own subscriber count (90th percentile 849).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /136215 Sept 2026, 01:22 UTC | 203 minutes – 17 hours old | 693 views3 reactions | 60 minutes: 87 interp. → 3.0 hours: 203 → 6.0 hours: 372 interp. → 12 hours: 575still climbing at last reading | not yet at 24h | 5.5 hoursprovisional — final view count still climbing |
| /135915 Sept 2026, 01:22 UTC | 203 minutes – 17 hours old | 686 views5 reactions | 60 minutes: 87 interp. → 3.0 hours: 205 → 6.0 hours: 373 interp. → 12 hours: 571still climbing at last reading | not yet at 24h | 5.3 hoursprovisional — final view count still climbing |
| /135814 Sept 2026, 01:25 UTC | 4432 minutes – 41 hours old | 1,010 views ~no reaction reading | 60 minutes: 66 interp. → 3.0 hours: 190 → 6.0 hours: 366 → 12 hours: 578 → 24 hours: 781still climbing at last reading | 781measured | 9.7 hours |
| /135514 Sept 2026, 01:25 UTC | 4432 minutes – 41 hours old | 948 views2 reactions | 60 minutes: 67 interp. → 3.0 hours: 193 → 6.0 hours: 361 → 12 hours: 566 → 24 hours: 760still climbing at last reading | 760measured | 8.9 hours |
| /135413 Sept 2026, 01:24 UTC | 6063 minutes – 3 days old | 1,080 views ~no reaction reading | 3.0 hours: 150 → 6.0 hours: 324 → 12 hours: 540 → 24 hours: 725 → 2 days: 984still climbing at last reading | 725measured | 12 hours |
| /135113 Sept 2026, 01:24 UTC | 62under a minute – 3 days old | 1,080 views ~3 reactions | 60 minutes: 53 interp. → 3.0 hours: 148 → 6.0 hours: 323 → 12 hours: 536 → 24 hours: 720 → 2 days: 955still climbing at last reading | 720measured | 12 hours |
| /135012 Sept 2026, 01:16 UTC | 726 minutes – 4 days old | 1,150 views ~no reaction reading | 60 minutes: 57 → 3.0 hours: 146 → 6.0 hours: 336 → 12 hours: 564 → 24 hours: 754 → 2 days: 963still climbing at last reading | 754measured | 12 hours |
| /134712 Sept 2026, 01:16 UTC | 786 minutes – 4 days old | 1,230 views ~3 reactions | 60 minutes: 53 → 3.0 hours: 140 → 6.0 hours: 328 → 12 hours: 554 → 24 hours: 743 → 2 days: 943still climbing at last reading | 743measured | 15 hours |
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
191 reactions across 63 posts, in 8 distinct kinds. The most used accounts for 78.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 149 | 78.0% | |
| 🔥 | 21 | 11.0% | |
| 👍 | 10 | 5.24% | |
| 🥰 | 4 | 2.09% | |
| 👎 | 3 | 1.57% | |
| 🤔 | 2 | 1.05% | |
| 👏 | 1 | 0.524% | |
| 😁 | 1 | 0.524% |
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 69 of the 121 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 191 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 121 most recent posts we hold, published 3 August 2026 to 26 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.
Would you visit Liechtenstein for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
❤1
🇱🇮 Liechtenstein, Liechtenstein Picture this: you're hiking through Alpine peaks so dramatic they look photoshopped, then stumbling upon a fairy-tale castle perched above vineyards and the Rhine Valley — all in a country smaller than Manhattan. Welcome to Liechtenstein, where you can literally walk across the entire nation in a day. But here's where it gets wild: this tiny 40,000-person nation became Europe's block…
Would you visit Machu Picchu for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🇵🇪 Machu Picchu, Peru Imagine standing 2,430 meters high in the Andes, surrounded by 15th-century Incan temples that were built without a single nail or wheel — Machu Picchu is where ancient engineering still leaves you speechless. Here's the wild part: when Peru faced political chaos in 2021, locals didn't just panic — they turned to Bitcoin. Cusco's tour operators started accepting crypto payments, and Peru jumped…
Would you visit Tbilisi for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
👍2
🇬🇪 Tbilisi, Georgia Picture yourself soaking in ancient sulfur baths carved into Tbilisi's old town while sipping Georgian wine that costs $2 a bottle — then imagine walking past massive Bitcoin mining farms powering the entire operation with cheap hydroelectric energy. After China's 2021 mining ban, Georgia became the world's #2 crypto mining hub virtually overnight, and Tbilisi transformed into a thriving hub for …
🔥3
Would you visit Madeira for its crypto scene? ✈️₿
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
😁1
Photo, posted without a caption
🔥4👎1
🇵🇹 Madeira, Portugal # Madeira, Portugal: Where Ancient Forests Meet Crypto Innovation Picture this: you're walking along a 500-year-old levada canal carved into volcanic mountainsides, misty laurel forests of UNESCO World Heritage sites surrounding you, then suddenly the Atlantic cliffs drop thousands of feet below. This is Madeira — a Portuguese island that feels like another planet. Here's where it gets interes…
❤2👍1🔥1
Would you visit El Zonte (Bitcoin Beach) for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🇸🇻 El Zonte (Bitcoin Beach), El Salvador Picture yourself surfing world-class waves at sunrise, then grabbing fresh ceviche on black sand beaches where palm trees sway overhead — welcome to El Zonte, El Salvador's most legendary kept secret. But here's where it gets wild: in 2019, an anonymous Bitcoin believer dropped $100K in BTC into this sleepy surf village to build something never attempted before — a circular …
Would you visit Lugano for its crypto scene? ✈️₿
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 121 posts we hold for @amazingworldtravel. 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 6 most recent of 55 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Would you visit Liechtenstein for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Would you visit Machu Picchu for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Would you visit Tbilisi for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Would you visit Madeira for its crypto scene? ✈️₿
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Would you visit El Zonte (Bitcoin Beach) for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Would you visit Lugano for its crypto scene? ✈️₿
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 121 most recent posts we hold, published 3 August 2026 to 26 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 60 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“Amazing World and Travel” (@amazingworldtravel), 1,020,986 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/amazingworldtravel.
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.