Channel
@polyrangercom
On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Reactions · Stars · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
1,864,316subscribers
-45,205 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1002188840862 |
|---|---|
| Type | Channel |
| Username | @polyrangercom |
| Created | 23 May 2024 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/polyrangercom |
Crypto & trading — 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 95% 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 |
|---|---|---|
| 21 Aug 2026, 18:28 | 1,864,316 | -2,889 |
| 20 Aug 2026, 18:47 | 1,867,205 | -2,280 |
| 19 Aug 2026, 18:34 | 1,869,485 | -3,550 |
| 18 Aug 2026, 16:12 | 1,873,035 | -3,201 |
| 17 Aug 2026, 13:18 | 1,876,236 | -3,535 |
| 16 Aug 2026, 08:04 | 1,879,771 | -4,117 |
| 14 Aug 2026, 20:17 | 1,883,888 | -4,234 |
| 13 Aug 2026, 13:38 | 1,888,122 | -1,873 |
| 12 Aug 2026, 10:07 | 1,889,995 | -4,010 |
| 11 Aug 2026, 06:57 | 1,894,005 | -3,446 |
| 10 Aug 2026, 06:41 | 1,897,451 | -2,353 |
| 9 Aug 2026, 07:54 | 1,899,804 | -2,608 |
| 8 Aug 2026, 08:32 | 1,902,412 | -3,163 |
| 7 Aug 2026, 09:46 | 1,905,575 | -3,497 |
| 6 Aug 2026, 07:10 | 1,909,072 | -449 |
| 6 Aug 2026, 00:53 | 1,909,521 | first reading |
48 posts held, back to 23 May 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 2,853 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 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 48 (23 May 2024 – 20 August 2026) |
| Views total | 29,610 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 17:10 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 August 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 6 of this channel’s own posts over the last 30 days: across 5of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 2 days of being posted; a typical post has already reached 30.9% of its 24-hour view count within the first hour, and 62.1% within the first six; the median 24-hour reach across those posts is 1,020 views — 0.055% of this channel’s own subscriber count (90th percentile 1,052).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /55320 Aug 2026, 17:37 UTC | 665 minutes – 47 hours old | 1,250 views ~no reaction reading | 60 minutes: 288 interp. → 3.0 hours: 475 interp. → 6.0 hours: 611 → 12 hours: 758 → 24 hours: 1,020 → 2 days: 1,250still climbing at last reading | 1,020measured | 6.8 hours |
| /55218 Aug 2026, 16:26 UTC | 11835 minutes – 4 days old | 2,030 views ~3 reactions | 60 minutes: 315 interp. → 3.0 hours: 492 interp. → 6.0 hours: 627 → 12 hours: 746 → 24 hours: 1,060 → 2 days: 1,290still climbing at last reading | 1,060measured | 22 hours |
| /55114 Aug 2026, 11:14 UTC | 18347 minutes – 7 days old | 2,900 views ~4 reactions | 60 minutes: 264 interp. → 3.0 hours: 425 → 6.0 hours: 577 → 12 hours: 712 → 24 hours: 855 → 2 days: 1,060 → 7 days: 2,890still climbing at last reading | 855measured | 4 days |
| /55013 Aug 2026, 16:45 UTC | 2125 minutes – 18 hours old | 852 views3 reactions | 60 minutes: 318 → 3.0 hours: 474 interp. → 6.0 hours: 578 → 12 hours: 703still climbing at last reading | not yet at 24h | 2.2 hoursprovisional — final view count still climbing |
| /54911 Aug 2026, 17:07 UTC | 13021 minutes – 7 days old | 2,850 views ~0 reactions | 60 minutes: 329 interp. → 3.0 hours: 521 → 6.0 hours: 646 → 12 hours: 777 → 24 hours: 1,040 → 2 days: 1,400 → 7 days: 2,800still climbing at last reading | 1,040measured | 2 days |
| /5487 Aug 2026, 08:45 UTC | 15350 minutes – 7 days old | 3,050 views ~no reaction reading | 60 minutes: 332 interp. → 3.0 hours: 516 → 6.0 hours: 648 → 12 hours: 790 → 24 hours: 929 → 2 days: 1,200 → 7 days: 3,050still climbing at last reading | 929measured | 4 days |
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.
143 reactions across 22 posts, in 5 distinct kinds. The most used accounts for 93.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 133 | 93.0% | |
| 🔥 | 4 | 2.80% | |
| ❤🔥 | 3 | 2.10% | |
| 👍 | 2 | 1.40% | |
| 🏆 | 1 | 0.699% |
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 45 of the 48 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 646reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 23 May 2024 to 20 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @polyrangercom. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 48 most recent posts we hold for this entry, published 23 May 2024 to 20 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
News tells you what happened. Pricing asks what it changes. A headline can look massive while the market has already adjusted. Or it can look minor while traders have not yet connected its full impact to the outcome. Reacting means buying the story after everyone sees it. Pricing means asking how much probability should actually move, whether the change is already reflected, and whether the remaining upside justif…
A green PnL does not prove a good trade. You can enter a thin market late, ignore the spread, take poor risk, and still make money. The outcome may go your way. That does not make the process repeatable. A profitable trade can still reveal weak timing, poor execution, or pure luck. The better question is not “Did it pay?” It is “Would I take this setup again?” That is the line between a win and a process.
❤2🔥1
Every narrative starts the same way. Quiet, then suddenly everywhere. Volume follows it in. New markets open, liquidity shows up, everyone's trading the same story at once. Then the narrative matures. The outcome becomes obvious, or people just move on. Volume drains out just as fast as it came in. A market tied to a fading narrative isn't less real. It's just less interesting to trade. Knowing where a story sits…
❤4
Price tells you where the market landed. The orderbook tells you how it got there, and how easily it can move again. A price can look stable while the orderbook underneath is razor thin, one order away from a big swing. Or it can look shaky while the depth behind it is actually solid. Most people glance at the number and move on. The number on top is rarely the part worth reading.
Not every big bet moves the market. Not every market move comes from a big bet. A whale can drop a large position into a deep, liquid market and barely shift the price. Meanwhile, a handful of smaller trades hitting a thin market can swing probability hard. Size alone doesn't tell you much. What matters is size relative to depth. Watch the reaction, not the trade size. That's where the real story is. Track it acr…
❤1
Being right feels good. Being early is what actually pays. Two traders call the same outcome correctly. One gets in while the price is still cheap. The other waits for confirmation, and by then the market has already caught up. Same forecast. Completely different return. Conviction without timing is just an opinion sitting on the sidelines. The edge was never in knowing the outcome. It's in knowing it before the …
❤2
More data used to be the answer. Now it's the problem. Every trader already sees the same headlines, the same charts, the same feeds. Access isn't the edge anymore. Reading it faster and clearer is. Two traders can look at the exact same signal. One sees noise. The other sees a setup. That gap is where the real edge lives now. PolyRanger turns scattered signals into something you can actually read.
❤3
Ask a trader what they think, and you'll get a confident answer. Look at their positions, and you often see something else. Smaller size than the conviction suggests. Hedges quietly placed elsewhere. An exit already lined up. Opinions are cheap. Positions cost something. That's why positions tell the truth more often than words do. PolyRanger shows what's actually being traded, not just what's being said.
❤8❤🔥1👍1
You spot an event worth trading. Then the real work starts. Check the platform. Compare the price elsewhere. Check liquidity. Switch tabs again. By the time you're ready to act, the setup already shifted. That gap between finding an opportunity and trading it is where most of the edge disappears. PolyRanger closes that gap. Discovery, comparison, and execution, all in one place.
❤9🏆1
Traders make markets move. Creators make markets exist in the first place. Someone has to spot the event. Frame the question. Give people a reason to care before a single trade happens. Without that, there's nothing to trade. Traders bring liquidity and price discovery. Creators bring the raw material - the events, the framing, the audience. PolyRanger is built for both sides of that equation.
❤10👍1
The market with the most noise is not always the one with the best edge. Attention can attract volume, but it can also hide weak pricing, crowded positioning, and limited upside. Sometimes the better opportunity sits in a quieter market - where the signal is clearer, the structure is stronger, and the price has not fully adjusted yet. In prediction markets, the edge is not in following the loudest narrative. It is …
❤6
Prediction markets are not becoming simpler. They are becoming more distributed. More venues. More signals. More price differences. More paths to the same event. PolyRanger is building the map for that market layer - so traders can navigate opportunity, not search for it.
❤10❤🔥2
Showing the 12 most recent of 48 posts we hold for @polyrangercom. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 7 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 366 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.
One domainthis 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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“PolyRanger” (@polyrangercom), 1,864,316 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/polyrangercom.
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.