내년에는 예금자보호한도 내에서 여러 은행에 자산을 분산하는 게 유행하지 않을까 싶네요. 혈액 저장소를 해킹해서 혈액을 끓이고, 마트 냉장고를 오븐으로 만들어버리고… 해킹해서 얻을 경제적 보상도 딱히 없는데 별의별 사고가 다 터지는 걸 보면 드라마보다 현실이 더 하다는게 맞는듯…
❤3

Channel
@Honeyofwhitesocks_2
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
11,098subscribers
+421 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001535698497 |
|---|---|
| Type | Channel |
| Username | @Honeyofwhitesocks_2 |
| Description | A cryptocurrency enthusiast, 크립토 열정가 꿀을 찾아 다닙니다. Testnet, Retro-active Airdrop에 관심이 많습니다. 좋아보이는 거 있으면 포워딩 하고 제가 할만한거 찾으면 하고 올립니다. 같이 꿀을 찾아 봅시다!! 꿀찾은 양말이의 Super N 크립토 일기장 채팅방: https://t.me/+d3fO61WRPaoyOTc9 문의: @whitesocksssss |
| Created | 22 February 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/Honeyofwhitesocks_2 |
Crypto & trading — 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 11 September 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 20:46 | 11,098 | -16 |
| 5 Nov 2026, 21:08 | 11,114 | -6 |
| 4 Nov 2026, 18:06 | 11,120 | -17 |
| 3 Nov 2026, 20:57 | 11,137 | -7 |
| 2 Nov 2026, 19:17 | 11,144 | -7 |
| 1 Nov 2026, 18:07 | 11,151 | -1 |
| 31 Oct 2026, 16:48 | 11,152 | -3 |
| 30 Oct 2026, 19:36 | 11,155 | -5 |
| 29 Oct 2026, 22:00 | 11,160 | -3 |
| 28 Oct 2026, 22:56 | 11,163 | -4 |
| 27 Oct 2026, 23:06 | 11,167 | -12 |
| 26 Oct 2026, 21:59 | 11,179 | -8 |
| 25 Oct 2026, 20:29 | 11,187 | -2 |
| 24 Oct 2026, 23:00 | 11,189 | -3 |
| 23 Oct 2026, 23:25 | 11,192 | -3 |
| 23 Oct 2026, 02:48 | 11,195 | -7 |
| 22 Oct 2026, 04:59 | 11,202 | -14 |
| 20 Oct 2026, 20:08 | 11,216 | -12 |
| 19 Oct 2026, 15:35 | 11,228 | -7 |
| 18 Oct 2026, 16:30 | 11,235 | first reading |
414 posts held, back to 4 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 48 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 70 of 103 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 414 (4 August 2026 – 7 November 2026) |
| Views total | 38,430 |
| Reactions total | 218 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 08:31 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 7 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.
Measured directly from 8 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.
951 reactions across 253 posts, in 15 distinct kinds. The most used accounts for 81.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 778 | 81.8% | |
| 🔥 | 73 | 7.68% | |
| 👍 | 60 | 6.31% | |
| 😭 | 8 | 0.841% | |
| 👀 | 6 | 0.631% | |
| 🦄 | 5 | 0.526% | |
| 🥰 | 4 | 0.421% | |
| 🌚 | 3 | 0.315% | |
| 💯 | 3 | 0.315% | |
| 😱 | 3 | 0.315% | |
| 🤡 | 3 | 0.315% | |
| 🤯 | 2 | 0.21% | |
| 👏 | 1 | 0.105% | |
| 👻 | 1 | 0.105% | |
| 🤔 | 1 | 0.105% |
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 278 of the 414 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 1,022 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 414 most recent posts we hold, published 4 August 2026 to 7 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.
Telegram’s own ‘edited’ marker: 2 of 103 posts held from the last 30 days (1.94%) 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).
내년에는 예금자보호한도 내에서 여러 은행에 자산을 분산하는 게 유행하지 않을까 싶네요. 혈액 저장소를 해킹해서 혈액을 끓이고, 마트 냉장고를 오븐으로 만들어버리고… 해킹해서 얻을 경제적 보상도 딱히 없는데 별의별 사고가 다 터지는 걸 보면 드라마보다 현실이 더 하다는게 맞는듯…
❤3
베리에이셔널 시빌 분석 리포트 시빌의 가능성 있는 요인 -변분 거래에 5개 이상의 연결된 지갑 사용 -새로운 지갑을 사용하여 변형 자금 조달 및 사용 -여러 지갑에 동시에 가입하기 -여러 지갑에 동일한 금액을 입금하는 것 -월렛 클러스터 손익이 대략적으로 균형을 이루었습니다. - 메인 지갑과 여러 헤지 지갑에 거래량을 균등하게 분배 - USDC가 여러 지갑을 순환하며 헤지 균형을 맞춥니다. - 변동 계좌 전반에 걸친 손실 환급의 헤지 농업 https://x.com/VexTxs/status/2118469769825243408
👍3
알코올 소비량이 54%로 급락했는데, 이는 갤럽 여론조사 역사상(약 90년) 최저치입니다.
❤2
Video, posted without a caption
😺 챗지피티 신규기능 GIF 이미지 만들기 1. 챗지피티 → 탐색 → 이미지 → Anime reaction GIF 2. 원하는 사진 넣기 → 감정 반응 선택 or 감정 입력 3. 결과물 확인 😎 특이점은 온다!
🔥4❤1
https://www.frontiertraders.com/campaigns 볼륨 $100K + PNL $100 정도면 이벤트마다 $200 정도 가져갈 수 있음. KYC 필요해서 한 지갑 정도 꾸준히 해서 용돈 가져가면 괜춘합니다. 지금 당장 이벤트 하는 곳은 없는데 솔라나 앞으로 1년 정도는 퍼프덱스 밀어줄거고 아직 예산 많이 남은 것 같긴 해서 계속 하시면 좋아보여용.
👀6
크립토든 주식이든 열심히 팔로업하다보면 남의 수익 카드를 항상 마주치게 되는데, 그러다 보면 본인이 잘하고있음에도 불구하고 만족하던 숫자에 만족하지 못하게 되는 문제가 생길 수 있는듯. 열심히 팔로업을 하더라도 내 기준 잘 세우고 너무 조급해하지 않기 근데 숫자 오픈 안하고 퍼센트만 있는 PNL 카드나 대충 번 척 하는 글 보고 조급해지면 진짜 바보임 그것만은 피하셈
❤9
좋아하던 리서처들이 회사를 떠나는 모습이 최근에 자주 보이네요 최근 델파이를 떠난 that1618guy도 그렇고, 오늘 블록웍스를 떠난 AJC도 그렇고 (블록웍스는 최근에만 5명 이상 본 것 같은데) 둘 다 최근 로빈후드 장에서 개인 퍼모먼스가 워낙 좋았어서, 그런 활동에 더 집중하려는 게 아닌가 싶기도 하고 여튼 앞으로도 글은 계속 써줬으면
❤2
https://x.com/USTreasury/status/2118830891522830391 MEXC가 이란 관련된 돈세탁 거래소로 지목돼 미국 제재를 받게 됐으니, 절대 사용하시지 마시길 바랍니다.
❤4
델파이의 연말 리포트 목차를 보니, 제가 어제 말씀드렸던 내용과 상당 부분 궤를 같이하는 것 같습니다. "크립토의 핵심 가치는 화폐이다." 초기에는 크립토를 달러를 비롯한 기존 화폐 시스템의 대안으로 받아들였습니다. 이후 시장의 관심은 ICO와 메타버스, 레이어1과 디파이로 옮겨갔고, 그다음에는 실질적인 비즈니스가 돌아가고 매출이 발생하는 프로젝트들, 특히 금융과 관련된 서비스들로 이동했습니다. 그렇게 수많은 내러티브를 거쳐온 크립토 시장이 지금은 다시 두 가지 가치로 귀결되고 있는 것 같습니다. 하나는 화폐로서의 속성과 가치를 지닌 자산이고, 다른 하나는 지속적인 매출을 통해 현금흐름을 창출할 수 있는 자산입니다. 결국 크립토 시장이 지난 수년간 수많은 실험과 시행착오를 거치면서 다시 화폐와 현금흐름이라는, 어찌 보면 가장 본질적인…
❤3
Derpetual is the future https://x.com/IPALAU1/status/2118697522743177455?a=heL3MMzQx1oIgHJK1-8&s=20
미국 중요 지표 발표 실업률 : 예상치, 이전치 약하회 비농업 고용 지수 : 예상치, 이전치 크게 상회 고용 시장이 튼튼하다는 소식에 위험자산들 또 한번 출렁이는 중 (금리 인상론 강화) #경제
Showing the 12 most recent of 414 posts we hold for @Honeyofwhitesocks_2. 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.
@Honeyofwhitesocks_2 edited 1 post 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Republishes 101 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.
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.
Named by 6 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.
@Honeyofwhitesocks_2 named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 16 seed channels' Telegram-generated recommendation lists in total. 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“꿀찾는 양말이 Super N 크립토 일기장 ⚡️” (@Honeyofwhitesocks_2), 11,098 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Honeyofwhitesocks_2.
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.