Daniel Fang engagement report
@fang_danie121 - 141K followers on X
Measured over 49 original posts from a 30-day window, last computed on September 27, 2026.
Engagement
A typical post picks up 65 interactions against 141K followers, an engagement rate of 0.046%. Measured over 49 original posts, its engagement rate beats 41% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.5K times each, and 1.19% of those impressions turn into an interaction. That is about 3.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 01:00 UTC, and Saturday is the busiest day of the week. Of the 49 posts sampled, 22% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 2.7K interactions, about 41x its own typical post.
Measured over 49 original posts from a 30-day window, last computed on September 27, 2026.
Compared with accounts its own size
Daniel Fang's engagement rate beats 41% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 46% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.046%, Daniel Fang sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 01:00 UTC, and Saturday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 22% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 22% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 379 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 19, 202641x their median
2011年，我在中华网上批评胡温政府，我说：家宝，别再仰望星空了，换头猪上来，都比你们做得强。 这话不幸言中了，有没有比胡温强，我不知道，但确实是换了一头猪上来了。
- Sep 20, 202625x their median
2022年11月，西安。一女子因为在商店里买东西的时候没戴口罩，就被防疫人员扣住了。 女子哀求说：我要回家一趟，我家里炉子上还煮着饭呢。家里没有大人，只有一个一岁左右的小孩。 防疫人员说：你想回去可以，先把这个背会了再说，然后拿了几本有关防疫的小册子，扔给了她。 这个女子背了好久没有背会，正在这些人准备下班，在交接工作的时候，办公室的楼上发生了爆炸。 发生爆炸的房间正是这个女子租住的房间，应该是她没有关闭的煤气出了事故。 这是一个朋友讲的故事，在这事故中，有没有人员伤亡，不清楚，这个女子的孩子一个人在家，结果怎么样，我也不清楚。因为这个朋友没有把故事讲完，人就走了。 而我因为人不在现场，所以这些细节部分，我无法添加，我怕我添加了，会被人扣上一顶造谣的帽子，即使你的推测是合理的。 我曾经还听到过一个母亲被当作失足女被抓走，因为没钱缴纳罚款，被关了一个多月，回家的时候，她的孩子已经被饿死的事情。 这样的悲剧其实每天都在发生，之所以会发生，在于他们根本就没想过，要给大家一条活路。
- Sep 21, 20269.7x their median
河南村镇银行暴雷，是因为官二代卷走银行资金所致，这个消息在大陆一直都有流传，但是一直属于不允许传播的内容。 你可以说河南村镇银行被黑社会把持，但是你如果说银行被红二代把持，那就是违法。 所以今天的中国人开始用黑社会指代红二代了。
- Sep 27, 20269.4x their median
政法委书记开车撞死4个人，被判4年刑，普通老百姓撞死一个人，死刑。 普通老百姓和14岁以下女孩发生关系是强奸幼女。领导和14岁以下女孩子发生关系是嫖宿幼女。 共产党把海参崴割让给苏联是爱国，国民党坚持外东北是中国固有领土是不爱国 很多时候，我搞不懂共产党的逻辑是怎样产生的。只感觉他们精神错乱，和一个精神错乱的人在一起，对方把你杀了，不需要负法律责任。跟一个精神错乱的政党在一起，对方搞死你几千万人，上亿人也不需要负责。
- Sep 18, 20268.5x their median
文革开始，上海一家庭教会遭到抓捕，酷刑之下，一位弟兄举报牧师，说他有海外关系，牧师遭受了一些折磨，但是最终还是被放了出来，因为牧师确实有海外关系，每个月都有来自海外的汇款，而恰恰是这笔汇款救了牧师，因为当时中共已经财政枯竭，而伟大领袖们的豪奢生活离不开外汇，比如江青喜欢摄影，她的摄像机，以及胶卷都需要花外汇才能买到。 牧师放出来了，但是举报他的那位弟兄却被下放到西北，临行之前，牧师去监狱里看过他，两人见面的时候，这位弟兄泪流满面，说：我错了。牧师叹了口气，说：我们都是罪人，我不会怪你。 最后这位弟兄将自己的孩子一儿一女托付给了牧师。 牧师找到这对孩子的时候，他们已经在街头流浪了好几个月，没有人敢收留他们，因为都知道，他们的父亲出卖了牧师。 牧师找到了这对孩子以后，对外谎称，这对孩子其实是自己的私生子，把他们接到了自己家里。 这对孩子的亲生父亲自打去了西北，就音讯全无。 十年后，文革结束。牧师通过各种渠道都查不到这位弟兄的确切下落，有的说已经被饿死了，有的说被饥饿的村民杀了填了肚子，也有人说，他越境，跑到国外求生去了。 这对孩子也以为这个牧师真的是自己的亲生父亲，后来为这位牧师养老送终。 这是听一位主内弟兄讲的一个故事，今天转发在这里，爱人如己，在那个环境里，很难做到，活下来的人很少是完全干净的；牧师收下孩子，并将他们养大，爱仇敌和爱邻舍在这里有了完美的统一。
- Jan 22, 20254.5x their median
為解決縣財政困難，湖南邵阳尹向锋縣長【太爺】定下了1個億小目標，唐战雄副局長用黨性保證完成任务，这是一个企业家被远洋捕捞的现场视频，听得出这位县长大人软硬兼施，目的就是要从这位企业家拿到一个亿。 https://t.co/8hKXFabJWs
- Sep 19, 20264.4x their median
其实，大陆是不缺乏人才的，缺乏的是把人才用到正确位置上的机制。比如这位落马官员的文字，足可以在天涯或者晋江书院开一个下半体的帖子了，我相信若是天涯或者书院不删帖，这哥们一定可以凭借这帖子活得足够滋润。 大陆不管是什么人才，最后的出路都只能往体制内走，进不去体制内，你就只能活得生不如死。
- Sep 19, 20262.3x their median
看到一个消息，说：日本现在百岁以上老人已经超过10万，我很好奇，这么多百岁老人，政府如何养活他们？如果放在中国，一定会说这是养老的沉重负担。 后来，我看到最近日本的另一侧消息，日本举办的名古屋亚运会取消了亚运村的设置，因为他们认为那是浪费。 这让我明白，日本为什么有钱养老人了。 在大陆，人口多，共产党会说人均资源太少，所以大家贫穷，养不起那么多人。开始大搞计划生育。 人口开始下降了，又开始说缺乏劳动力。 反正同一件事，正说反说都是他们有道理。
- Sep 18, 20262.3x their median
出国审查收紧，先卡住的不是高官子弟！ 不让普通人合法走，等于把路让给不合法的人！ 文/老目 9月15日，出入境新规实施，据说当天就有500人被拦在了国内，无法出镜。 我们大致可以把想要出国的人分成三大类： 第一类，有单位、有关系、能说明「为何出国」的一群人。 第二类，普通上班、探亲、求学、润的 这一群人。 第三类，已经被盯上、异见、信访、参与过宗教聚会的一群人。 就这三类人群，我们可以分析一下，那类人群最容易掌握国家机密，哪一类人群最容易出去，哪一类人群最不容易出去，容易出去的是为什么，不容易出去的又是为什么！ 首先，我们应该清楚一件事，普通人不可能知道机密，就算让你知道，那也不是机密，而是陷阱，比如让二小放牛郎知道的就是能要了他命的陷阱，共产党不可能让二小放牛郎知道党支部在哪里，游击队在哪里。所以二小放牛郎知道的只能是共产党故意让他知道的假情报，目的就是要牺牲二小放牛郎打一场伏击战。 我们再来看，国内的上访户，异见分子，宗教界人士，他们能知道什么机密文件呢？如果硬要说机密，不知道大陆的黑暗真相算不算机密文件，难道他们出不去是因为黑幕知道太多？ 至于第一类群体，其实是最有能力掌握机密信息，机密技术的群体，但是同时他们也是最容易办理好出入境需要的相关资料的一群人。比如习近平的女儿习明哲想要出境，谁敢卡住护照不给办理？谁敢在边境拦住他不给放行？前苏联领导人斯大林的女儿就曾经叛逃西方，到现在还在享受西方优渥的生活。 所以本质上，以上有出国需要的三类人群，能掌握核心机密核心技术的人他们拦不住，也不敢拦，相反倒是那些和所谓的核心机密八竿子打不到一处的人被拦了下来。被拦下的人群之所以被拦下，不是因为他们掌握了核心机密，而恰恰是因为他们掌握不了核心机密，一个掌握不了核心机密的人自然是一个无足轻重，可以人人拿捏的小人物，不欺负他欺负谁。 反过来拦不住的那批人也恰恰是因为真的掌握了核心机密，每一个能真正掌握核心机密的人背后必然有着招惹不起的势力撑腰站台，你去拦下他？你是想死还是相当反革命？ 而也是因为这两者之间的差异，为权力的寻租打下了基础，开好了市场，大量无权无势无背景的人想要出国怎么办？只能寻找有势力有背景的人背书。北京的权贵阶层又一次赢麻了，通过对出入境的管控，某些大人家的公子小姐又有了赚得盆满钵满的机会。 哎，这真是老百姓的不幸啊，正门收紧，不会消灭出境，只会把风险和溢价转给最没有保护的人，而他们才是最需要出国求得一块生存土壤的主力军。 想想，我也算幸运的，在三年前，共产党一放开护照的异地办理之后，就办理了护照，并在当年成功出镜。老实说，出镜的时候，我还非常害怕，因为当时已经有好多起基督徒处境被拦下的新闻报道，而我随身的背包里就有一本圣经。果然在检查行李的时候，查到了我的圣经，我大着胆子如实说：我是基督徒，我在泰国有教会的朋友，我去那里看朋友。对方竟然没有阻拦我，挥手让我过去了。
- Sep 26, 20262.0x their median
刘欢是歌手，彭丽媛也是歌手。 刘欢今年63岁，彭丽媛今天64岁 刘欢噶了，彭丽媛还在美国访问。 为什么年轻的刘欢噶了，而彭丽媛还依然活蹦乱跳？ 刘欢打了疫苗没有？彭丽媛打了疫苗没有？ https://t.co/lXP1podWNA
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
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Reading these numbers
A typical post picks up 65 interactions against 141K followers, an engagement rate of 0.046%. Measured over 49 original posts, its engagement rate beats 41% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.5K times each, and 1.19% of those impressions turn into an interaction. That is about 3.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 01:00 UTC, and Saturday is the busiest day of the week. Of the 49 posts sampled, 22% carry an image or video and 6% are part of a thread. The account's strongest tracked post pulled 2.7K interactions, about 41x its own typical post.
- What is Daniel Fang's engagement rate on X?
- Daniel Fang (@fang_danie121) has an engagement rate of 0.046%, based on the median interactions across 49 original posts from the last 30 days against 140,996 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.046%, Daniel Fang sits above the 25th percentile of the 205,261 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @fang_danie121 have real engagement?
- Its engagement rate beats 41% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @fang_danie121 post?
- Most posts go out around 01:00 UTC, and Saturday is its busiest day, at roughly 1.8 posts per day across the measured window.