Channel
@BG_1133
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
29,212subscribers
-72 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001922513495 |
|---|---|
| Type | Channel |
| Username | @BG_1133 |
| Description | 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、让您看尽东南亚大小事。 ➖➖➖➖➖➖➖➖➖➖ 🔍吃瓜Top： @hdjunf 🔍全网吃瓜爆料： @dnyzx1234 🔍华人吃瓜猎奇： @dnyzx1213 🔍泰国爆料： @xjp720 🔍泰国大事件： @BG_1133 🔍求职招聘： @YTT7891 🔍东南亚吃瓜： @dnyzx188 日本 av 种子 : @cosfeng4 📲商务合作： @shixiong789 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/BG_1133 |
National news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 18 Sept 2026, 06:57 | 29,212 | -1,169 |
| 16 Sept 2026, 02:00 | 30,381 | -643 |
| 14 Sept 2026, 12:02 | 31,024 | -619 |
| 12 Sept 2026, 23:02 | 31,643 | -745 |
| 10 Sept 2026, 22:00 | 32,388 | +7,516 |
| 7 Sept 2026, 20:01 | 24,872 | -1,577 |
| 4 Sept 2026, 19:18 | 26,449 | -959 |
| 3 Sept 2026, 06:28 | 27,408 | -435 |
| 2 Sept 2026, 02:52 | 27,843 | -265 |
| 1 Sept 2026, 03:47 | 28,108 | -399 |
| 31 Aug 2026, 05:38 | 28,507 | -561 |
| 30 Aug 2026, 02:02 | 29,068 | -187 |
| 29 Aug 2026, 02:06 | 29,255 | -20 |
| 28 Aug 2026, 01:44 | 29,275 | -15 |
| 24 Aug 2026, 22:45 | 29,290 | +1 |
| 18 Aug 2026, 18:37 | 29,289 | +1 |
| 17 Aug 2026, 20:23 | 29,288 | +1 |
| 16 Aug 2026, 17:04 | 29,287 | +1 |
| 13 Aug 2026, 11:26 | 29,286 | +1 |
| 9 Aug 2026, 12:36 | 29,285 | first reading |
968 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 74 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.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 968 (7 August 2026 – 29 September 2026) |
| Views total | 248,754 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 10:24 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 29 September 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 250 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.
#网友投稿 #给前男友的一封信 林嘉旭，我想了很久，还是想认认真真跟你说一句对不起。当初和你在一起三年多，你把所有的钱都交给我，洗衣服、打扫卫生，所有琐事你都默默扛下来，毫无保留地对我好 可那个时候，身边很多人不停跟我说你不好、说你差劲，加上家人的想法，我被这些声音困住了，分不清别人口中的你，和真实的你。是我糊涂，没有站在你这边，是我逼着你分开，逼着你离开。 后来我从你兄弟口中听说，分开之后你天天喝酒，甚至伤害自己，那时候我还是固执地以为，分开是解脱。等到所有人说你的都停止了，我才慢慢醒悟。旁人说的都不算数，实实在在陪在我身边、一心一意疼我的人，一直都是你。 我才明白，原本可以陪我过完一辈子的人，被我弄丢了，我常常在想，如果当初我坚定一点，选择站在你这边，结局会不会不一样，我知道我伤你很深，我不奢求你马上原谅我，更不敢强求我们立刻回到从前。只是想让你知道，我终于看清了，是我错得离谱 ️ 🆒🔴商务合作：渡秋川
#泰国新闻：洪灾已致23人死亡，曼谷4人遇难，经济损失或达7亿美元 泰国政府9月29日表示，自9月中旬以来，全国洪灾已造成23人死亡，其中曼谷有4人遇难。 泰国防灾减灾厅（DDPM）称，洪灾已影响曼谷约70万人。目前部分地区仍在积水，学校已连续第2天停课，近7000人暂时住在全市230个避难中心。 洪灾目前已波及泰国77个府中的29个府。其中，曼谷4人死亡，北榄府（Samut Prakan）8人死亡，沙缴府（Sa Kaeo）6人死亡，其余死者来自尖竹汶府、艾尤塔亚府和北标府等地。 泰国经济专家估计，此次洪灾可能造成3亿至7亿美元以上的经济损失，其中曼谷受影响最为严重。 ️ 🆒🔴商务合作：渡秋川
#网友爆料：缅甸三佛塔帕亚松如，定位的黑园区 园区都是新建起来的铁皮房，周边就建了一圈围墙围起来，里面都是做国盘资金盘，精聊，军包的黑公司，每天都是上班17个小时起步，每天体罚两个小时，每天动不动就喊安保拿pc管打员工，而且园区里面还有小黑屋，拿手铐吊起来，不给吃饭喝水也不给休息，就是吊着拿pc管打 他们那个园区很小，整个园区加起来总共才几百个人 ️ 🆒🔴商务合作：渡秋川
#小菲投稿：姐妹们！想问一下，我也不知道我老公是怎么回事，他好像希望我能够“狂野”一点。😂 因为他认识我的时候，我本来就是比较保守的人。我也不是说自己有多虔诚，只是从小开始就经常去教堂，所以可能从小就已经习惯了这样的穿衣方式和生活方式。 我平时穿衣服也不算特别老派，只是大多数时候，我确实更喜欢穿那些不太暴露的衣服。而且说实话，我自己也没有那么自信去穿特别性感或者暴露的衣服。 我并不是说喜欢穿这种衣服的女生有什么不对，每个人都有自己的喜好嘛。 只是我有点不明白，为什么他好像总是希望改变我的穿衣风格？有时候我会想，是不是他不喜欢原本的我？还是说，他只是希望我能够变得更自信一点，尝试不同的风格？ 其实说真的，我也愿意尝试一些新的东西，只是我希望不是因为觉得自己必须改变，才能满足他的喜好。 姐妹们，你们有没有遇到过这种情况？自己的另一半希望你穿得更性感、更暴露一点，但这其实并不是你平时的风格。你们都是怎么处理的？单纯好奇，想…
#老挝新闻：沙湾拿吉省警方查处涉嫌网络犯罪及贩卖违禁品团伙，抓捕14名中国人和1名老挝人 9月28日，老挝沙湾拿吉省警察总部特别工作组联合凯山丰威汉市警察局及省人民检察院，对凯山丰威汉市两处涉嫌违法活动的场所开展检查。 警方首先搜查了位于班蓬萨旺泰村的一处出租房屋，现场发现15名嫌疑人，包括14名中国籍人员和1名老挝籍人员，并查获38台台式电脑和41部手机。 随后，警方搜查了萨南赛村一处出租公寓。该公寓涉嫌与贩卖卡特叶及止咳糖浆有关。警方在现场发现两名老挝籍嫌疑人（一男一女），并查获3大袋、134小袋卡特叶，22,963瓶止咳糖浆及1辆大型汽车。 目前，省警察局仍在调查此案，以进一步查明相关人员及涉案情况，并依法追究责任。 ️ 🆒🔴商务合作：渡秋川
波贝洪水中惊现大鳄鱼，当地警方和民众合力将其抓获 9月29日上午，波贝市中央市场分区4号村一带正遭遇洪水，当地警方及相关部门联合民众，成功抓获一条体型很大的鳄鱼。被抓获后，鳄鱼已被转移到安全地点暂时安置，等待后续处理。 波贝市政府提醒民众提高警惕，尤其不要让孩子下洪水中玩水，以免发生意外，同时也要小心洪水中可能出现的蛇等危险动物。 PS：嘎嘣脆，鸡肉味🤣 ️ 🆒🔴商务合作：渡秋川
#群友投稿：亲爱的亮哥，财通金湾到戈公数字新城，以这种方式让你认识。 我是今年过完年跟随着公司到老挝，大年三十正好十五号发工资提成，一分不发，过年给一人200，后面发生的事情我不说你也都知道。 所谓的公司搬迁，就是骗我们来老挝，然后把我们卖给新公司。我们偷渡的先过来了，剩下的有护照是后来的。 到老挝，环境首先不说有多苦，和我们之前做的项目都不一样。 大哥要带我们走，你不是认识吗？你不是有钱吗？为什么已读不回？说好的到老挝发工资发提成，钱呢？ 最后我们被送进东鹏，看守所关了多久。最终我们妥协了，没钱给。 最终几人只有被老挝警方交人头送到云南，我被打的那些天，我都记得。 现在我出来了，我送回国受的苦，家里花的钱，还有我的工资，我一笔一笔跟你们算。 其他人的决定都是你的默许，慢慢来。 想处理就联系我，不想处理，下一个帖子就发你照片。发完照片还是不处理，那就继续发，我看你能坐得住多久。 ️ 🆒🔴商务合作：渡秋川
中国驻菲律宾使馆提醒来菲中国公民防范被诱骗绑架勒索 #菲律宾新闻：央视网消息：据中国驻菲律宾使馆消息，近期，菲律宾警方破获多起针对中国公民的绑架勒索案件，成功解救受害者并逮捕犯罪嫌疑人。相关团伙主要针对单独出行的年轻中国公民实施犯罪。嫌犯一般通过网络结识受害者，或冒充其熟人，以旅游、商务等名义邀请其来菲，并主动为其安排机票和住宿。受害者抵菲后，嫌犯接机并将其带至某隐秘地点，随即限制其人身自由，扣留其护照、手机及随身财物，并向家属勒索赎金，部分受害者还面临人口贩卖的风险。 中国驻菲律宾使馆再次郑重提醒来菲或在菲中国公民切实提高防范意识，对类似网络邀约保持高度警惕，不接受陌生人提供的机票、住宿安排，不向通过网络结识人员透露自己的行程及身份信息，避免遭遇绑架勒索，甚至产生更为严重的后果。 如遇紧急情况，请联系： 菲律宾报警急救电话：911 中国驻菲律宾使馆领保协助电话：0063-2-82311033 中国驻宿务总领馆领保协助电话…
#缅甸新闻：DKBA保护下诈骗园区仍被指使用泰国光纤网络 据消息，位于缅甸克伦邦泰缅边境当仁河附近、由DKBA控制的部分网络诈骗园区，近期仍通过泰国一侧接入光纤网络使用互联网。 消息称，一条光纤线路从DKBA总部所在的松塞棉村附近瓦米代村一带，连接至泰国一侧，为当地园区提供网络服务。据称，该线路目前已持续使用约一个多月。相关园区网络连接情况及具体运营方身份，目前尚待进一步核实。 ️ 🆒🔴商务合作：渡秋川
#马来西亚新闻：遣返333名外国被拘留者 9月28日，马来西亚移民局发布消息称，柔佛州Nenas移民拘留中心于9月第四周集中遣返333名外国被拘留人员。 据通报，此次被遣返人员包括：缅甸125人、印尼150人、印度21人、孟加拉国13人、巴基斯坦12人、中国8人、斯里兰卡3人、尼日利亚1人。 上述人员分别通过吉隆坡国际机场（KLIA 1、KLIA 2）以及Pasir Gudang渡轮码头被遣返回各自国家。 马来西亚移民局表示，此次遣返相关费用主要由被遣返人员个人积蓄或家属承担，部分费用则由相关国家驻马来西亚大使馆承担。 移民局同时指出，所有被遣返人员均被列入入境黑名单，并在规定期限内禁止再次入境马来西亚。 ️ 🆒🔴商务合作：渡秋川
传说中的缅北 ️ 🆒🔴商务合作：渡秋川
洪玛奈亲赴班迭棉吉省视察洪涝灾情并慰问受灾群众 9月28日下午，柬埔寨首相洪玛奈亲王亲赴班迭棉吉省实地视察灾情，并看望慰问受灾群众。此次紧急赶赴一线，旨在安抚鼓励受灾民众，并统筹部署各项及时的应急救援措施。 据柬埔寨国家灾害管理委员会通报，截至2026年9月27日下午5时（统计区间为9月8日至27日），全国洪涝灾情汇总如下： 全国总体受灾情况： 波及地区： 包括马德望、班迭棉吉、暹粒、磅同、磅湛、特本克蒙、拜林、菩萨、柏威夏和奥多棉吉在内的10个省份，共涉及52个市、县（区） 受灾人口： 44,889 户（新增 19,328 户） 受损房屋： 40,384 栋 紧急转移安置： 3,685 户 农田受灾： 水稻受灾面积达 49,925 公顷 ️ 🆒🔴商务合作：渡秋川
Showing the 12 most recent of 968 posts we hold for @BG_1133. 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.
Named by 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“泰国新闻大事件” (@BG_1133), 29,212 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/BG_1133.
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.