Channel
@szflbg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
20,140subscribers
+557 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002576903940 |
|---|---|
| Type | Channel |
| Username | @szflbg |
| Description | 私聊老师发送“枫林晚”,优惠福利等着你🍁 🚗修车导航：https://t.me/szfenglinwan 🍁查找老师🔍 https://t.me/mingyue1bot ✍🏻报告收录🤖 @fenglinwanbbot 👮♀️本群管理：https://t.me/qwer3456 雷报频道炸了，现在把雷报整合到报告频道，查询雷报的方法点击👉 #雷报 点击左上角 此聊天 可以查看到所有雷报 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/szflbg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 13:56 | 20,140 | -26 |
| 11 Aug 2026, 10:58 | 20,166 | +155 |
| 10 Aug 2026, 08:27 | 20,011 | +179 |
| 9 Aug 2026, 05:10 | 19,832 | +227 |
| 8 Aug 2026, 05:21 | 19,605 | +26 |
| 7 Aug 2026, 08:11 | 19,579 | -4 |
| 6 Aug 2026, 20:03 | 19,583 | first reading |
161 posts held, back to 6 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 18 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 6 of 158 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 161 (6 August 2026 – 13 August 2026) |
| Views total | 60,514 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 13:15 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 13 August 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.
6 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
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 6 of the 161 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 161 most recent posts we hold, published 6 August 2026 to 13 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.
——枫林体验 https://t.me/szflw 上课时间：8月13 老师花名：云兮 课室位置：#南山书城 老师电报：@xixiyun 云兮频道:https://t.me/Tooyok 颜值身材：换上制服一眼惊人，比例体态特好 体验细节：果然云兮老师手法真的绝，按过这么多抓龙筋，今年体验了很多新人的抓龙筋都没云兮老师按的舒服，很多新人都不会按也不会舒服的手法，纯粹的新人而已，终于在云兮老师这里种圈粉了，一进门看到云兮老师又年轻漂亮身材好环境又好都是一次性用品，全程沟通还很温柔，穿上频道的新制度身材凹凸感拉满白色丝袜腿骚里骚气的，全程都忍不住想盯着老师看👀，没想到手法按的超舒服，精油热乎乎的，老师的节奏流程安排的特别好腰背的疲劳放松10分钟再是抓龙筋，把我私处整个会阴蛋蛋睾丸耻骨弟弟腹股沟按的气血热乎乎的，特别是弟弟明显比我最近疲乏的状态再次崛起，感觉要比日常勃起的时候要更充血更大一圈，灵动的双手在弟弟各种手法每个敏感点都刺激…
——枫林体验 https://t.me/szflw 上课时间：8.13日 老师花名：#牛奶 课室位置：#深圳 #南山 老师电报：@Yjlsnn 颜值身材：奶子很大，水汪汪的蝴蝶，出水很快。 体验细节：最近喜欢吃大奶嫩妹，蹲守了好久，刷到了牛奶老师，奶子真大呀，第一时间约上。下了地铁口顺着商场，找到了公寓，进出方便，上电梯后，到了楼层牛奶妹妹来接的我，见到妹妹本人后，忍不住心里哇塞起来，真好看奶子也大最主要人照一致，妹妹见面比较害羞，有点缅甸，不知道怎么招呼我，沙发坐了会，简单寒暄了几句，说是下海没多久，嫩！青涩！是我想要的出击的类型。浴室里面一起洗澡，丰满的身材，胸大屁股翘，涂满泡泡液把玩了一下，洗净擦干后就去床上干活了，嫩妹三件套起手，感觉不太熟练，那就换我来，抱着妹妹亲了一会，舌尖一点点伸出来，舔下面出水很快，一会就受不了，身体反应很大。我赶紧停下来了，开始给我口，口活凑合吧，有耐心一直口，换了好几个体位，很听话，轻轻按头…
——枫林体验 https://t.me/szflw 上课时间： 8月12号 老师花名：可馨 课室位置：#福田 老师电报：@ylf_ylf 颜值身材：9分 自由描述： 今天刷电报发现可馨还有补位，想到很久没有见到可馨了，果然预约去，见到心心念念的可馨聊了会天，最近的日常，可馨还是一如即往的美丽，还是一如既往的好，分别洗漱后开始缠绵，可馨躺在我旁边，我的二弟直接起立，可馨说自己有点累，让我自己全自动，于是我正常位起手，后续后入，我原来都没有发现，可馨后入真的又湿又舒服，然后正常位，在可馨的帮助下出货。以后有机会还会再来可馨的。 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报告收录机器人： @fenglinwanbbot
——枫林体验 https://t.me/szflw 学生留名：嘻哈老祖 上课时间：8.12 学习费用：1300 老师花名： #日式丝足游戏馆 课室位置：#深圳南山 #深圳福田 #广州天河 老师电报：@szyxg2028 颜值身材：9.1/8.9 体验细节：福田分店上课，一进门就感觉ayaka老师长在了我的心坎里，妩媚动人。第一次尝试带有sm性质的课程，ayaka老师先问了我几个问题，耐心的倾听我的小小诉求，然后很温柔的引导我，让我不要紧张要放松，整个上课过程不是机械地走流程，会根据我的情况是调整，老师的丝袜属于高品质的丝滑，摸起来超级舒服，时不时的踩踏和暗香让我沉醉其中。 优点缺点：课室很干净，服务很细致。 推荐程度：🍁🍁🍁🍁🍁 #深圳丝足 #广州丝足 #丝足 #丝袜 #恋足 #高跟鞋 #抓龙筋 #日式 #spa #角色扮演 #剧本杀 #大长腿 #美腿 #美脚 #御姐 #SM #南山丝足 #天河丝足 #福田丝足 查…
——枫林体验 https://t.me/szflw 上课时间： 8.12 老师花名： 伊萱 课室位置：#南山 老师电报： @yixuan_nanshan 颜值身材： 很哇塞 体验细节：上楼，开门见到老师很好看，工作室很整洁，安全安静，老师课表上的都有，感觉非常好，真的是服务天花板了，过程很享受，身材很好，不催，很热情，很性感诱人，身材完全凸现出来，我瞬间就按耐不住了，速度交了课费，洗好澡就让老师拿套先在沙发上来一次，面对这样的尤物，男人的本性，有点按耐不住，直接开干，越插越爽，很快就发射给老师了，越完事之后老师帮我冲洗，我有点疲惫，老师就给我调情按课表的走了一遍 ，主要口活非常好，叫声很甜蜜，叫的我来感觉又硬了就上套开火，第二次水哗啦啦的流，真爽，完事还来个事后箫，情绪价值特别到位，值得推荐. 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报…
——枫林体验 https://t.me/szflw 上课时间：8/12 老师花名：莉莉 课室位置：#南山 老师电报：@lili5359 颜值身材：9.5 体验细节：朋友推荐的，约了莉莉老师上课，看身材完美，腰细皮肤水嫩光滑有气质，很有女朋友的感觉。很喜欢立刻交课费。老师陪我温柔体贴的给我洗澡，口的很爽。。然后躺床上，老师脱掉衣服，滑嫩的肌肤，红红的乳晕，下面毛多又嫩，匀称的身材，趴在下面给做服 务，此刻已经硬了，老师坐了上启小马达的屁股，搞得爽歪歪。老师下面很紧很滑，没多久就出水了。上第二课时，明显发挥比第一课好，主动出击，变化姿势，深入浅出的。老师被插的眼神迷离，让人怜惜。加快冲击力度，在老师的叫床中达到高潮。很享受的一次出击。 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报告收录机器人： @fenglinwanbbot
——枫林体验 https://t.me/szflw 上课时间：8月12 老师花名：思思 课室位置：#龙岗 老师电报：@sisi_888 颜值身材：9 体验细节：下午提前约的老师，位置好找，门口没有保安进出还挺方便。整体服务还可以，唯一不足是不做毒龙。我比较喜欢做毒龙，另外加钱，老师也不同意！！不过老师服务态度挺好的，时间到了也不催钟，让我多休息一会，课室环境不错舒适，比较新，干净卫生，有轻音乐，多重水果，饮品可以随意喝。老师优点：比较健谈，性格好，身体敏感，BB形状好看一线天，毛毛比较少，干净无异味。舔老师BB很上头，无异味肥美老师水很多，没有一会老师就高潮了，我很兴奋直接带上雨伞就开干了，小穴好紧，没几下就秒了！下次还会再来，比较喜欢老师的小穴🤪 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报告收录机器人： @fenglinwanbbot
Telegram 中文圈搜索引擎，积木JIMU 帮你查询任何您想要的群组、频道（不论公开与私密） 👉 助力可提升搜索排名与曝光 🚀
——枫林体验 https://t.me/szflw 上课时间：8.13日 老师花名：#护士 课室位置：#深圳 #南山 老师电报：@Nshs39 颜值身材：服务好很温柔很不错的一位老师 体验细节：中午午休正好有空，联系了护士妹妹，也是她刚好开课马上回了我，要了位置后挺近的来回时间足够，于是马上预约好，单刀赴会，过去10来分左右，到了楼下跟护士妹妹说了一下，她就发来指示图，按照指示来到楼层电梯口，护士妹妹前来迎接，全程微笑式对待，笑的非常甜，非常可爱的小妹妹，一身长裙青春感爆棚，抱着护士妹妹就是一顿狂摸，皮肤手感非常好，肤色偏白，肉肉好软，抓着特别舒服。 简单调情后一起来到浴室洗白白，护士妹妹脱掉衣服，白白净净的肌肤，令我激动不已，洗完澡后，到床上又是一顿狂舔，妹妹舌头特别柔软，伸得很长，舌吻起来非常棒👍🏻，上下狂舔一波，翻身后妹妹给我舔，从上到下，舔的我酥酥麻麻的，非常享受，口活也是很不错，居然没有齿感，一会儿六一柱擎天了，赶紧…
——枫林体验 https://t.me/szflw 学生留名：清浅帝 上课时间：8.11 老师花名：桂华亭丝足SM 课室位置： #福田 #香梅 老师电报： @guihuating2025 颜值身材：9.8 体验细节:太牛了，老师的演绎感觉都是演员水准的了，刺激的结束，洗澡后发现鼻腔里好像有一些干涸的血迹，不知道是不是被香艳的流鼻血了，各种戏精附体，真是演的你不知天地为何物，说实话，这个事如果是现实里真实发生的话，那也就是老师演的这样的了，太绝了，没一会儿就上头了，好评好评，是会反食的店铺 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道 https://t.me/szflbg 报告收录机器人： @fenglinwanbbot #恋足 #深圳 #足控 #SM #剧情 #剧本杀 #丝袜 #角色扮演 #足交 #丝袜 #高跟 #女王调教 #控射 #催眠
——枫林体验 https://t.me/szflw 上课时间：8.13 老师花名：濛濛 课室位置：#南山 老师电报：@mengmeng0505 颜值身材：照片一致 体验细节：老师好性感身材非常棒是我喜欢的类型，两个粉色奶子又大又软穿着性感的黑丝高跟鞋，老师也非常热情一双大眼睛感觉会说话一样太有神了，我迫不及待的洗漱一下开始上课，老师上来就先用小舌头舔我身体，灵活的舌头非常舒服，慢慢游离到下面，开始展示绝活，感觉整个人都酥酥麻麻的。口了一会儿，老师说给我乳胶，妈呀，两个大灯确实无敌，太舒服了，差点忍不住就射在老师胸上了。我立马叫停，带上套套直接开干，几个姿势轮流干，小老师的喘息声很有感觉，小穴也很紧水多，在一声声喘息中出水。有机会一定返，老师人也不错的 温柔 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报告收录机器人： @fenglinwan
抽奖 南山 静宜 @dxm456 （编号L17862055645586）已成功开奖： 👉积木（中文圈）@jimu 👉 中 文 圈： @zhongwenquan 创建人：枫林🍁夜色 @qwer3456 已参与人数：1618 中奖名单如下： #858 辣条在手 }[7475177184]（奖品为18.88口令红包🧧） #373 眼中钉 }[8273652853]（奖品为p100优惠券） #1343 福禄寿喜 }[8080307095]（奖品为p100优惠券） #471 海深不蓝 }[8222842352]（奖品为p100优惠券） #189 天才只是见我的门槛 }[7335087809]（奖品为p100优惠券） #299 前门大街 }[8400605126]（奖品为p100优惠券） #1238 擒贼先擒王 }[7919109311]（奖品为p100优惠券） #1374 大雄 }[7194846591]（奖品为pp200优惠券） #15…
Showing the 12 most recent of 161 posts we hold for @szflbg. 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.
@szflbg edited 6 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.
Citation-graph rank — 17,229 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 17 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳枫林报告 @szflw” (@szflbg), 20,140 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/szflbg.
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.