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Telegram profile photo for Devil Earning

Channel

Devil Earning

@devil_drop

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

71,867subscribers

-12,500 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001608236785
TypeChannel
Username@devil_drop
DescriptionWe Are Best Loots Provider, Here User Can earn Money by complete Simple Task. Support - Share Our Channel - https://t.me/+Rn2jXEs7cxs2OTNl Must Read :- https://telegra.ph/Note-04-04-4
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/devil_drop

Topic

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 80% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 4 other registered channels. This entry also sits inside a group of 32 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Thunder_drop/724226 Aug 2026, 15:00 UTC@devil_drop/86977 · this entry6 Aug 2026, 15:00 UTC1.00under a minute
@Thunder_drop/7251920 Aug 2026, 15:39 UTC@devil_drop/87490 · this entry20 Aug 2026, 15:39 UTC1.00under a minute
@Thunder_drop/7326922 Sept 2026, 18:19 UTC@devil_drop/87995 · this entry22 Sept 2026, 18:19 UTC1.00under a minute
@Thunder_drop/732827 Oct 2026, 01:33 UTC@devil_drop/88110 · this entry7 Oct 2026, 01:33 UTC1.00under a minute
@devil_drop/88121 · this entry12 Oct 2026, 04:04 UTC@Thunder_drop/7332416 Oct 2026, 08:07 UTC1.004 days
@Thunder_drop/7336911 Nov 2026, 07:02 UTC@devil_drop/88199 · this entry11 Nov 2026, 07:02 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@Thunder_drop11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (9–2)
@wurve7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (6–1)
@SwiftIncomehub7 (7/7 hand-verifiable sample passed)1.00under a minute@SwiftIncomehub (5–2)
@FartAirdrop5 (5/5 hand-verifiable sample passed)1.00under a minute@FartAirdrop (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 11 of the 11 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 429 comparable posts for this entry, running 1 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 32 channels, the one whose matching posts we hold earliest is @PantherAirdrops. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 32 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Airdrop Glance
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Airdrop Neptune™
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97,241 subscribers
Yono games
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Wurve
@wurve · Channel
79,849 subscribers
Veteran Airdrops
@VeteranAirdrops · Channel
76,478 subscribers
Airdrop Overlay
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Airdrop Segment
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66,137 subscribers
Mystery Airdrops
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Yono tricks
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57,399 subscribers
Panther Airdrops
@PantherAirdrops · Channel
56,280 subscribers
Airdrop HiveX™
@AirdropHiveX · Channel
56,149 subscribers
CASINO ALERTS
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52,674 subscribers
Archer Airdrops
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Thunder drop♠️♦️
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51,983 subscribers
Earning vip
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50,132 subscribers
Default Loots
@SwiftIncomehub · Channel
48,457 subscribers
Airdrop Omen
@AirdropOmen · Channel
47,946 subscribers
Airdrop Furious
@FuriousAirdrop · Channel
47,924 subscribers
Fart Airdrop ™
@FartAirdrop · Channel
42,016 subscribers
Blunder Airdrop
@BlunderAirdrop · Channel
40,749 subscribers
Toss Winner
@Techno_Karan · Channel
33,341 subscribers
Elevate Airdrops
@ElevateAirdrops · Channel
30,280 subscribers
Dynamite Airdrops
@DynamiteAirdrops · Channel
30,028 subscribers
PRO LOOTERS
@VOLTTGz · Channel
27,108 subscribers
Techno Earning
@roqxo · Channel
25,553 subscribers
CHARIX | News
@CHARIXNews · Channel
23,571 subscribers
Wizard Airdrops
@WizardAirdrops · Channel
19,061 subscribers
Earning loots
@cryptosgiveaways · Channel
18,973 subscribers
Earner Sim™
@Earnersim · Channel
4,866 subscribers
@cryptoclashers
@NinjaGameNews · Channel
198 subscribers
Volcano Airdrops
@VolcanoAirdrops · Channel
36 subscribers

Growth

71,86784,36778,1177 August 202613 November 2026
64 measurements spanning 98 days, net -12,500. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 69,992–86,242 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
13 Nov 2026, 11:2071,867-333
10 Nov 2026, 21:5472,200-114
9 Nov 2026, 06:3072,314-140
8 Nov 2026, 00:4172,454-122
7 Nov 2026, 01:3672,576-106
5 Nov 2026, 23:0872,682-86
4 Nov 2026, 21:2872,768-72
3 Nov 2026, 20:1972,840-45
2 Nov 2026, 21:2672,885-31
1 Nov 2026, 23:1672,916-540
31 Oct 2026, 22:4073,456-108
30 Oct 2026, 22:5573,564-59
30 Oct 2026, 00:4873,623-96
29 Oct 2026, 02:3573,719-127
28 Oct 2026, 00:2573,846-162
26 Oct 2026, 21:3874,008-96
25 Oct 2026, 23:3074,104-75
24 Oct 2026, 20:2574,179-182
23 Oct 2026, 18:1674,361-80
22 Oct 2026, 14:4974,441first reading

Engagement

698 posts held, back to 1 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 209 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.66%
avg views ÷ 71,867 subscribers
Avg views / post
1,910
23 posts measured
Reaction rate
14.4%
reactions ÷ views · ER floor
Posts in window
29
of 698 held

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 3 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 November 2026
Posts held698 (1 August 2026 – 13 November 2026)
Views total44,005
Reactions total1,485
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 13:02 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.

What this channel posts

Photos
≈10,600
Videos
≈170
Links
≈19,000

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
15m 07s
Average length
2m 10s

Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

140,391 reactions across 132 posts, in 8 distinct kinds. The most used accounts for 14.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏20,40914.5%
👍20,16614.4%
❤20,08114.3%
🤩20,02314.3%
🥰19,96814.2%
🔥19,94514.2%
🎉19,79814.1%
🐳10.001%

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 133 of the 698 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 140,391 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 698 most recent posts we hold, published 1 August 2026 to 13 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 3 of 29 posts held from the last 30 days (10.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 07:59 UTC314 viewsread 13 November 2026
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Showing the 12 most recent of 698 posts we hold for @devil_drop. 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.

Posts edited after publishing

@devil_drop edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
23 October 2026
Most recent edit
28 October 2026

Posts recorded as deleted after publishing

We recorded 23 posts on @devil_drop as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
18 hours
Seen missing in the last 30 days
5

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 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.

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.

Channels Telegram recommends alongside this one

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.

Gem Hei
@GemHei · 90,265
#1
Thunder drop♠️♦️
@Thunder_drop · 51,983
#2
Airdrop Neptune™
@AirdropNeptune · 97,241
#3
casino blog
@RozPaise · 31,500
#4
CASINO ALERTS
@AIRDROPS_ALERTERS · 52,674
#5
MetaDrop
@MetaDropOfficial · 27,553
#6
Airdrop HiveX™
@AirdropHiveX · 56,149
#7
PRO LOOTERS
@prolooteresss · 40,937
#8
Fart Airdrop ™
@FartAirdrop · 42,016
#9
Blunder Airdrop
@BlunderAirdrop · 40,749
#10
AIRDROP OFFERS
@Airdrop_offerss · 22,093
#11
USDT-DEFI
@cryptoinvite011 · 13,816
#12
INDIAN TECH PAYMENT
@indiantechpayment · 6,806
#13
Airdrop Unique
@Airdrop_Unique_76 · 31,416
#14
Cricket Wizards
@htewwaghh · 26,710
#15
CRYPTO 365 Official
@crypto365live · 2,096
#16
Slots WG
@Onlinecosinos · 18,955
#17
Aviator Risk Check
@AviatorRiskCheck · 18,715
#18
Multiverse Airdrop
@MultiverseAirdrop · 15,316
#19
That Web3 Lad
@DvinciLabs · 8,077
#20
Block News Hub
@BlockNewsHub · 12,713
#21
RNG Aviator Signals & Tips
@rngav · 26,430
#22
Crypto news
@EthanShardsAdmin · 1,847
#23
Airdrop Ambition
@AirdropAmbition · 143,243
#24
Airdrop Glance
@AirdropGlance · 124,813
#25
Yono games
@AirdropEnvoy · 84,552
#26
CRICKET TOSS
@Airdrop_alerters · 33,905
#27
Crypto Blunder
@CryptoBlunder · 53,180
#28
We Cog ™
@noqro · 41,076
#29
Daily Combo™ || Gem Heist 🚀💎
@dontleaveplzz · 21,617
#30
METRO REPORT 🗞
@metroreporten · 57,117
#31
Airdrop Spike
@AirdropSpike · 5,192
#32
Payout kingdoms
@payoutkingdoms · 1,069
#33
Airdrop Envy
@AirdropEnvy · 18,694
#34
CryptoFlash: Breaking news
@Airdropxcaptain · 44,191
#35
MC DREAMY™ UPDATES
@mcdreamyofficial · 5,744
#36
𝐎𝐅𝐅𝐈𝐂𝐈𝐀𝐋 𝐋𝐎𝐓𝐓𝐄𝐑𝐘 𝐆𝐀𝐌𝐄𝐒
@ANKITLEGACY · 1,647
#37
Payout
@payoutmlo · 2,576
#38
Booster Airdrop
@booster_channel · 3,850
#39
𝗕𝗹𝗮𝘇𝗲 𝙋𝙧𝙚𝙙𝙞𝙘𝙩𝙞𝙤𝙣𝙨 𝙊𝙛𝙛𝙞𝙘𝙞𝙖𝙡
@BlzexArbajPredictions · 10,038 (as read 18 August 2026)
#40
Crypto Logs
@NotAirPay · 744
#41
YAAR WIN PREDICTION
@HIMASHU_EARNING45 · 5,293 (as read 18 August 2026)
#42
Blast Announcement
@Blast_announcement · 2,535 (as read 18 August 2026)
#43
BD INCOME TIPS
@bd_income_tips_6t9 · 118,146
#44
TradingGain - Crypto Signals
@TradingGainX · 678,403
#45
Earning smash
@EarningSmash · 3,965
#46

Read from Telegram’s recommendation API, most recently 18 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.

Appears in Telegram’s recommendations for other channels

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.

Yono games
@AirdropEnvoy · 84,552
Telegram ranks this channel #17 of 47 here — alongside 46 others — read 17 August 2026

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.

Cite this entry

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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“Devil Earning” (@devil_drop), 71,867 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/devil_drop.

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.