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Telegram profile photo for 柬埔寨吃瓜头条新闻

Channel

柬埔寨吃瓜头条新闻

@buliangzhu

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

38,677subscribers

-6,235 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-1003842396103
TypeChannel
Username@buliangzhu
Description聚焦柬埔寨全境热点动态,涵盖民生资讯、华人生活、商贸行情、文旅攻略、圈层八卦、本地头条与突发新鲜事。用轻松有趣的视角解读柬埔寨大小新闻,靠谱资讯 + 劲爆瓜料两不误,带你看懂真实柬埔寨。 📮投稿爆料合作联系 @XLJ05
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/buliangzhu

Topic

National news — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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 word for word on 1 other registered channel. 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
@gaocaoss/193087 Aug 2026, 13:19 UTC@buliangzhu/14319 · this entry7 Aug 2026, 13:29 UTC1.0011 minutes
@gaocaoss/193097 Aug 2026, 13:29 UTC@buliangzhu/14320 · this entry7 Aug 2026, 13:29 UTC1.00under a minute
@gaocaoss/193147 Aug 2026, 14:09 UTC@buliangzhu/14321 · this entry7 Aug 2026, 14:10 UTC1.002 minutes
@gaocaoss/193217 Aug 2026, 14:19 UTC@buliangzhu/14322 · this entry7 Aug 2026, 14:31 UTC1.0013 minutes
@gaocaoss/193227 Aug 2026, 14:29 UTC@buliangzhu/14323 · this entry7 Aug 2026, 14:31 UTC1.002 minutes
@gaocaoss/193237 Aug 2026, 14:29 UTC@buliangzhu/14324 · this entry7 Aug 2026, 14:31 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@gaocaoss9 (8/8 hand-verifiable sample passed)1.002 minutes@gaocaoss (9–0)

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. 9 of the 9 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 15 comparable posts for this entry, running 7 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @gaocaoss. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

38,67744,91241,794.57 August 20267 November 2026
62 measurements spanning 92 days, net -6,235. 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 37,742–45,847 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
7 Nov 2026, 14:5638,677-54
6 Nov 2026, 14:5938,731-54
5 Nov 2026, 12:1738,785-65
4 Nov 2026, 09:3038,850-133
3 Nov 2026, 10:4938,983-187
2 Nov 2026, 11:0639,170-54
1 Nov 2026, 14:2739,224-70
31 Oct 2026, 17:5739,294-92
30 Oct 2026, 17:2839,386-74
29 Oct 2026, 16:0939,460-64
28 Oct 2026, 13:4639,524-37
27 Oct 2026, 17:0939,561-45
26 Oct 2026, 18:1739,606-47
25 Oct 2026, 21:1039,653-53
24 Oct 2026, 21:4739,706-71
23 Oct 2026, 20:0639,777-62
22 Oct 2026, 20:3839,839-39
21 Oct 2026, 17:0539,878-70
20 Oct 2026, 10:5539,948-43
19 Oct 2026, 10:0839,991first reading

Engagement

2,022 posts held, back to 7 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 180 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.43%
avg views ÷ 38,677 subscribers
Avg views / post
2,870
833 posts measured
Reaction rate
0.034%
reactions ÷ views · ER floor
Posts in window
833
of 2,022 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 365 of 833 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 8 November 2026
Posts held2,022 (7 August 2026 – 8 November 2026)
Views total2,392,394
Reactions total390
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 10:11 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
≈18,500
Videos
≈3,060
Links
≈9,060

Lifetime counters from Telegram’s own channel header, read 8 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
3h 19m
Average length
58s

Measured directly from 207 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

476 reactions across 449 posts, in 6 distinct kinds. The most used accounts for 18.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9018.9%
👏8517.9%
🥰8317.4%
🔥7515.8%
🤩7215.1%
🎉7114.9%

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 452 of the 1,000 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 476 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 1 October 2026 to 8 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: 0 of 833 posts held from the last 30 days (0%) 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).

8 Nov 2026, 09:52 UTC2 viewsread 8 November 2026
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#马来西亚资讯:警方捣毁跨国可卡因贩运集团,4人被捕!香港男子机场鞋内藏DU1公斤,疑牵出同一网络 据马来西亚媒体11月7日报道,马来西亚警方近日成功捣毁一个涉嫌跨国贩运可卡因的犯罪集团,共逮捕4名嫌疑人,其中包括一名涉嫌担任集团首脑的香港籍男子,以及3名马来西亚籍男子。 警方于11月5日在吉隆坡十五碑(Brickfields)一处民宿展开突击行动,现场查获约450克可卡因,以及两双涉嫌用于藏匿毒品的鞋子。 初步调查显示,该集团涉嫌以马来西亚为毒品中转站,将可卡因走私至香港、日本及印尼等地。犯罪团伙还涉嫌招募马来西亚当地人员充当运毒人员,利用经过特殊处理的鞋子藏匿毒品,再通过商业航班运往海外。 警方调查发现,此前已有10名马来西亚公民涉嫌参与相关运毒活动,分别于9月和10月在印尼雅加达及日本东京被当地执法部门逮捕。 另外,香港海关于11月4日在香港国际机场查获一起毒品案件。一名36岁香港籍男子从吉隆坡抵港后,被发现鞋内藏…

8 Nov 2026, 09:52 UTC≈1,100 viewsread 8 November 2026
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斯里兰卡警方突查一家酒店,32名中国人因涉嫌网络金融诈骗接受调查! #斯里兰卡资讯 11月6日至7日,斯里兰卡警方对位于帕纳杜拉(Panadura)纳洛鲁瓦(Nalloruwa)地区的一家酒店展开突击检查,现场发现32名中国籍人员,并查扣23台电脑及其他电子设备。 据了解,帕纳杜拉警区高级警司此前接获情报,称有一批中国籍人员涉嫌从事非法网络金融活动。警方随后展开初步调查,并取得帕纳杜拉地方法院签发的搜查令,对涉事酒店进行检查。 此次行动由当地刑事调查部门联合斯里兰卡刑事调查局(CID)、警察特别任务部队(STF)及其他相关部门共同执行。 警方目前正在调查这32名中国籍人员是否涉及网络金融诈骗,并检查查扣的电脑及电子设备是否被用于犯罪活动。 相关设备已移交帕纳杜拉南警察局,案件由刑事调查局继续调查。 斯里兰卡警方表示,近期已发现多起外国人涉嫌利用酒店、宾馆及度假村等住宿场所从事金融诈骗的案件,并提醒酒店经营者加强留意住客…

8 Nov 2026, 09:52 UTC2 viewsread 8 November 2026
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#群友投稿:为什么东南亚灰产多?不是因为他们不守法,而是因为体制和命运本身就不公平。 灰产 ≠单纯犯罪,而是生存的变相抗争。“掀开天宫的一角”,说白了,就是底层人想掀翻那个由财团、贵族、跨国资本垄断的资源金字塔。当法律只保护拥有权力的人时,“不守法”成了一种对现实的不合作运动。 他们不是不知道风险,而是知道“守法也无法活得好”。他们不是天生恶,而是这个游戏早就有人出老千。那些进入灰产的灵魂,不一定邪恶,但一定曾经无助。有些人想逃脱现实的束缚,有些人想挑战体制的封印,有些人只是不想再被命运拿捏。这不是黑与白的问题,而是结构性的“无解之解”。 这是一场文明、权力、制度与人性之间的角力。灰产不是单纯的道德问题,而是秩序与自由、压迫与反抗、规则与现实之间的斗争。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOW…

8 Nov 2026, 09:24 UTC≈1,310 viewsread 8 November 2026
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#柬媒报道 #海军副司令 #黑客入侵 云壤海军基地副司令殷索克马拉海军准将的官方Facebook账号已被不明身份者黑客入侵并盗用,请大家注意防范…… 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 08:40 UTC2 viewsread 8 November 2026
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#柬埔寨资讯 柬埔寨拜林省一名中国男子涉嫌非法持枪及贩毒被捕! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 08:10 UTC≈2,620 viewsread 8 November 2026
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#菲律宾新闻 #反特朗普运动 农民及左派团体近日发起为期一个月的反特朗普运动,反对美国总统特朗普计划前往马尼拉出席东盟峰会。 近日,菲律宾农民运动发表声明,指责美国不断扩大在菲律宾的军事存在及经济影响,担忧进一步损害农民土地、生计和粮食安全。 由 #新爱国联盟 (BAYAN)等团体推动的宣传活动,已在市场、交通总站及公共场所展开,参与者通过派发传单和漫画表达反对立场。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 07:54 UTC≈2,680 viewsread 8 November 2026
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#澄清说明 相关文章: 1.平台的风险提示有其业务和数据依据,并非无故针对用户 2.异常投注风险识别属于平台正常的风险管理工作我司依照沙巴反馈及时采取相应措施 平台始终主张以实际数据、客观事实及适用规则处理账户风险问题。我们欢迎公众监督,也希望网络讨论建立在完整事实和客观证据的基础上。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 07:48 UTC≈3,480 viewsread 8 November 2026
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#柬埔寨 #央行提醒 #华人注意 扫码付款,千万别手快!一不小心可能损失数万美元 11月6日,柬埔寨国家银行副行长任烈在白马省出席一场金融知识宣传活动时,提醒民众提高数字支付安全意识,防范转账失误及网络诈骗风险。 任烈表示,随着数字金融技术发展,巴孔(Bakong)支付系统及KHQR统一二维码日益普及,手机扫码支付已成为民众日常生活中常见的付款方式。 他提醒,民众使用KHQR付款时,应仔细核对收款人姓名、付款金额及币种,确认无误后再点击付款。同时,切勿向他人透露银行账户密码或一次性验证码(OTP),以免造成财产损失。 事实上,柬埔寨此前曾发生多起因混淆美元与瑞尔而转错账的事件。 10月30日晚,金边永旺二期购物中心附近一家蜜雪冰城门店,一名柬埔寨女顾客购买饮品时,原本只需支付2.2万瑞尔(约5.5美元),却误将2.2万美元转入商家账户,金额相差约4000倍。 发现错误后,顾客立即向店员求助。中国籍店主吴老板获悉情况后…

8 Nov 2026, 07:48 UTC≈3,660 viewsread 8 November 2026
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#网友投稿 #西港 #太子寰宇 #检查 准备有宪兵去检查了,目前只知道的有A3-29楼要被检查,其它楼层不清楚,附近的注意了!!! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 07:47 UTC≈3,450 viewsread 8 November 2026
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#柬埔寨 #电诈 #地下通道 离谱!柬埔寨电诈窝点玩起“密室逃脱”,衣柜后面竟藏着地下通道! 此前文章: 这年头,电诈窝点的装修都快赶上谍战片了! 前几天柬埔寨柴桢省巴域市一处涉嫌网络诈骗的场所遭执法部门突击检查。执法人员进入现场后,竟意外发现衣柜后方暗藏玄机,扒开一看,里面居然还有一条秘密地下通道! 好家伙,表面上是普通房间,衣柜一关,后面竟然还有另一番天地。这是把办公室当成了密室,还是把逃生路线提前安排好了? 只能说,现实有时候比电影还离谱。别人家的衣柜放衣服,这里的衣柜居然还兼职当秘密入口! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 07:26 UTC≈3,630 viewsread 8 November 2026
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#中菲旅游热度双双上涨 #菲律宾赴华游客 #中国游客来菲 菲律宾赴华游客半年暴增49%,中国游客来菲 增长近70% 中国驻菲律宾大使馆11月7日表示,今年上半年菲律宾赴华游客人数同比增长48.9%,10月份中国签证申请量更是暴增66%,显示菲律宾民众赴华旅游热情持续升温。 与此同时,中国游客赴菲人数也大幅增长。今年1月1日至11月4日,中国赴菲游客达到39.4万人次,同比增长69.78%,跃居菲律宾第四大国际游客来源市场。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

8 Nov 2026, 07:17 UTC≈3,300 viewsread 8 November 2026
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#柬埔寨新闻 柬埔寨向46名外交代表通报反诈进展:园区被查,诈骗团伙换地方? 11月8日,柬埔寨高级部长兼打击网络诈骗委员会秘书处负责人蔡西那烈在金边向46名外交官及国际组织代表通报柬埔寨打击网络诈骗行动的最新进展,并介绍下一阶段工作方向。 柬埔寨政府表示,将继续通过加强执法、司法追责和国际合作,严厉打击网络诈骗团伙及其背后的犯罪网络,防止诈骗活动死灰复燃。 据官方数据,2025年7月至2026年8月底,柬埔寨执法部门已检查832处涉嫌网络诈骗地点,对其中663处采取打击行动,并控制86处大型诈骗园区。 不过,反诈行动也面临新挑战。蔡西那烈此前透露,随着大型诈骗园区受到打击,部分诈骗活动开始转向出租屋、公寓和私人住宅,变得更加分散和隐蔽。 简单来说,大园区被查,小场所又成了新目标。诈骗团伙也在不断换地方、换方式,执法部门自然不能松懈。 柬埔寨政府强调,打击跨国网络诈骗不能只靠一国单打独斗,还需要各国加强情报共享、跨…

Showing the 12 most recent of 2,022 posts we hold for @buliangzhu. 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.

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