Would you visit Singapore for its crypto scene? ✈️₿
- ✈️ Already planning!58%
- 🤔 Intriguing, maybe6%
- 🏖️ Just for the travel29%
- ❌ Not my vibe6%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Channel
@amazingworldtravel
On this record: Topic · Growth · Engagement · View velocity · Reactions · Posts · Polls · Telegram's recommendations · Cite this entry
1,091,273subscribers
-9,364 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 |
| 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 | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 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 |
|---|---|---|
| 12 Aug 2026, 23:23 | 1,091,273 | -2,158 |
| 11 Aug 2026, 21:15 | 1,093,431 | -1,456 |
| 10 Aug 2026, 21:11 | 1,094,887 | -1,657 |
| 9 Aug 2026, 19:31 | 1,096,544 | -2,660 |
| 8 Aug 2026, 16:13 | 1,099,204 | -1,375 |
| 7 Aug 2026, 19:13 | 1,100,579 | -58 |
| 7 Aug 2026, 13:00 | 1,100,637 | no change |
| 7 Aug 2026, 12:56 | 1,100,637 | first reading |
21 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 16 pagesof 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 11 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 21 (3 August 2026 – 12 August 2026) |
| Views total | 27,331 |
| Reactions total | 34 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 00:35 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.
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 10 of this channel’s own posts over the last 30 days: across 8of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 13 hours of being posted; a typical post has already reached 10.1% of its 24-hour view count within the first hour, and 49.1% within the first six; the median 24-hour reach across those posts is 852 views — 0.078% of this channel’s own subscriber count (90th percentile 865).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /121812 Aug 2026, 01:33 UTC | 2532 minutes – 23 hours old | 803 viewsno reaction reading | 60 minutes: 53 → 3.0 hours: 178 → 6.0 hours: 394 → 12 hours: 598 → 24 hours: 803still climbing at last reading | 803measured | 6.2 hoursprovisional — final view count still climbing |
| /121512 Aug 2026, 01:33 UTC | 2532 minutes – 23 hours old | 798 viewsno reaction reading | 60 minutes: 52 → 3.0 hours: 180 → 6.0 hours: 395 → 12 hours: 597 → 24 hours: 798still climbing at last reading | 798measured | 6.1 hoursprovisional — final view count still climbing |
| /121411 Aug 2026, 01:32 UTC | 448 minutes – 46 hours old | 1,080 views ~no reaction reading | 60 minutes: 88 → 3.0 hours: 228 → 6.0 hours: 423 → 12 hours: 646 → 24 hours: 860 → 2 days: 1,080still climbing at last reading | 860measured | 8.6 hours |
| /121111 Aug 2026, 01:32 UTC | 468 minutes – 47 hours old | 1,040 views ~4 reactions | 60 minutes: 90 → 3.0 hours: 223 → 6.0 hours: 421 → 12 hours: 641 → 24 hours: 851 → 2 days: 1,040still climbing at last reading | 851measured | 8.2 hours |
| /121010 Aug 2026, 01:32 UTC | 5412 minutes – 3 days old | 1,220 views ~no reaction reading | 60 minutes: 88 → 3.0 hours: 216 → 6.0 hours: 435 → 12 hours: 642 → 24 hours: 874 → 2 days: 1,130still climbing at last reading | 874measured | 11 hours |
| /120710 Aug 2026, 01:32 UTC | 5712 minutes – 3 days old | 1,220 views ~no reaction reading | 60 minutes: 88 → 3.0 hours: 216 → 6.0 hours: 432 → 12 hours: 639 → 24 hours: 864 → 2 days: 1,090still climbing at last reading | 864measured | 11 hours |
| /12069 Aug 2026, 01:32 UTC | 693 minutes – 4 days old | 1,350 views ~no reaction reading | 60 minutes: 76 → 3.0 hours: 186 → 6.0 hours: 357 → 12 hours: 593 → 24 hours: 863 → 2 days: 1,180still climbing at last reading | 863measured | 15 hours |
| /12039 Aug 2026, 01:32 UTC | 773 minutes – 4 days old | 1,380 views ~no reaction reading | 60 minutes: 77 → 3.0 hours: 189 → 6.0 hours: 358 → 12 hours: 597 → 24 hours: 852 → 2 days: 1,070still climbing at last reading | 852measured | 16 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 viewsis 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.
34 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 88.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 88.2% | |
| 👍 | 3 | 8.82% | |
| 🔥 | 1 | 2.94% |
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 11 of the 21 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 34reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 3 August 2026 to 12 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.
Would you visit Singapore for its crypto scene? ✈️₿
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
🇸🇬 Singapore, Singapore Picture neon-lit Supertrees soaring over Marina Bay while you sip world-class coffee at a hawker stall for $3, then catch the sunset from Marina Bay Sands' legendary infinity pool. This is Singapore — where futurism meets tradition in Asia's most forward-thinking city. But here's what makes it unmissable for crypto heads: Singapore is literally the continent's crypto capital. Binance built i…
Would you visit Reykjavik for its crypto scene? ✈️₿
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
🇮🇸 Reykjavik, Iceland Imagine standing under the dancing Northern Lights while surrounded by volcanic black sand deserts and glaciers—welcome to Reykjavik, where nature runs on pure geothermal power. This Icelandic capital became crypto's unlikely hero. Around 2017-2018, companies like Genesis Mining set up massive Bitcoin mining operations here, drawn by electricity so cheap it was practically free. At its peak, I…
❤4
Would you visit Santorini for its crypto scene? ✈️₿
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
🇬🇷 Santorini, Greece Picture this: you're watching the sunset from a clifftop in Oia, the Aegean stretching endlessly below while white-washed buildings glow pink and gold around you. Santorini isn't just a postcard—it's where ancient volcanic history meets cutting-edge finance. Here's where it gets interesting for us: Greece became an early crypto hub in the EU, and Santorini led the charge with some of the first …
Would you visit Tokyo for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🇯🇵 Tokyo, Japan # Telegram Post Tokyo hits different — where ancient temples glow under neon signs and robot restaurants sit next door to century-old ramen shops. This city perfectly mirrors crypto's own journey: from wild west to regulated maturity. Japan legalized Bitcoin in 2017 and created one of the world's most trusted regulatory frameworks, but not before surviving crypto's biggest early disaster — the Mt. G…
Would you visit Banff National Park for its crypto scene? ✈️₿
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
❤1
🇨🇦 Banff National Park, Canada Picture turquoise waters so impossibly blue they seem photoshopped, reflecting jagged peaks that touch the clouds — Banff National Park is where nature shows off at its absolute finest. Here's the thing: Canada's been quietly dominating the crypto space while the world wasn't looking. Vancouver planted the world's first Bitcoin ATM back in 2013, and Canada beat the US to the punch by …
❤6
Would you visit Prague for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🇨🇿 Prague, Czech Republic Picture Gothic spires piercing misty skies and ancient cobblestone streets that feel pulled straight from a fairy tale — welcome to Prague, where medieval magic meets cutting-edge innovation along the Vltava River. This city isn't just steeped in history; it's become a crypto haven. Since 2014, Paralelni Polis has been operating as Europe's most legendary Bitcoin-only café and coworking sp…
❤2
Showing the 12 most recent of 21 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 10 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 Singapore for its crypto scene? ✈️₿
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Would you visit Reykjavik 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 Santorini 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 Tokyo for its crypto scene? ✈️₿
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Would you visit Banff National Park for its crypto scene? ✈️₿
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Would you visit Prague for its crypto scene? ✈️₿
Shares as published. 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 21 most recent posts we hold, published 3 August 2026 to 12 August 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 41 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Amazing World and Travel” (@amazingworldtravel), 1,091,273 subscribers as measured 12 August 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.