Author: Karen F. Lee

Risk perception and opportunity selection (w38/2022)

Weekly_38/2022

Because of many experiences and observations in the last few years, I have deepened my feelings about risk. There are too many “sighs” for us to learn from (e.g., LTCM is a very strong argument). Indeed, there are often many commonalities in mistakes that are hard to understand without experience.

1. macro, risk perception

Risk perception system, grasp the big and let go of the small. The most critical thing is still a deep understanding of extreme risks. Too many defeats are attributed to this.

  • Nowadays, the frequency of extreme Stan is becoming more and more intensive and influential.
  • To move forward in a system of uncertainty with an “attack” posture is insensitive and lacking in reverence. This includes thinking that you are strategically “good enough” to step on the right rhythm, especially when you cannot accept the consequences of doing the opposite, which is the same as gambling (e.g., Haidilao bet on the wrong end of the epidemic, stepping on the wrong rhythm to expand and leverage, resulting in huge strategic mistakes and losses).
  • From a macro perspective, human development is said to spiral upward, but after adjusting the coordinate system, this upward spiral contains huge disorderly fluctuations and cyclical evolution. Cognitive and operational systems must include these basic FACTS.
2. micro, individual choices in risk

After a lot of observations, it is still believed that the quality of decisions is still greatly underestimated. Or rather, the concepts of fast and slow are misunderstood.

  • Deep understanding of opportunity cost. There are millions of things that can be done, and tens of thousands of opportunities, but there is only one thing that can be done at the moment that matters most, making the highest quality choices possible
  • The outside world is always mixed and chaotic, so we must focus on the opportunities after we have clarified them, and focus on the long term values.
  • Rethink about FAST and SLOW: slow is fast, it is a strategy and tactic. In strategy and tactics, slow is fast; in action, be fast

It is always easy to talk about important things, such as SLOW IS FAST, which is often hung up by many people. And then, for example, reverence, openness, and forgiveness. But what about the actual actions？ Therefore, it is a cautionary tale and an eternal practice process. So, always be open-minded and stay foolish.

It is said that you can not really learn only in books. Although learning from other people’s mistakes is one of the low-cost ways to learn, many things really need to be done to gain insight. No breakage, no establishment. DO-LEARN-DO-LEARN is a quality learning model.

再谈风险认知和机会选择（W38/2022）

Weekly_38/2022

因为近几年诸多经历和观察，对风险这件事的感触又加深了一些。太多“叹息”供我们学习（e.g. LTCM是一个很强有力的论据）。确实，错误中常常很多共性，而不经历是很难深刻理解的。

1. 宏观，风险认知

风险认知体系，抓大放小。最关键的无非还是深刻认知极端风险。太多败北归于此。

  • 当下，极端斯坦出现的频率越来越密集，影响力越来越大
  • 以“攻击”的姿态在不确定性的系统中前行，是不自量力，缺乏敬畏。包括认为自己战略上“足以“踩准节奏，特别是在不能接受反之而行的后果时，与赌无异（e.g. 海底捞赌错疫情结束，踩错节奏大肆扩张加杠杆，造成巨大的战略失误和亏损）
  • 宏观视角，人类的发展讲是螺旋上升的，调整坐标系后，这种上升中包含巨大的无序波动和周期演化。认知和行动体系务必囊括这类基本FACTS
2 . 微观，风险中的个人选择

大量的观察后仍认为，决策质量依旧被大大低估了。又或者说，快和慢被理解偏误。

  • 深刻理解机会成本。能做的事情有千万，机会有数万，但当下能做的仅有一件最重要的事，尽可能做高质量的选择
  • 外部永远是纷杂的、混乱的，明确了机会后定要专注，以生命阶段维度的专注
  • 关于快慢的再思考：慢就是快，是一种战略和战术；战略和战术上，慢就是快；行动上，要快

最重要的谈论起来总是很简单，比如slow is fast，常常被很多人挂在嘴边。再比如，敬畏、开放、包容。但事实人们的实际行动呢？因此，是警言，也是永恒的修炼过程。因此，永远开放，保持敬畏。

所谓纸上得来终觉浅。虽说用别人的错误学习是低成本的习得方式之一，但很多事情，确实需躬行方得感悟。不破不立。有破才有立。DO-LEARN-DO-LEARN才是优质的习得模式。

How to Reshape Your Information Inputs (Part Ⅱ)

Routinize your model, capture randomness, and build unique access to information

Photo by ThisIsEngineering on Pexels.com
Overview
  1. Books, books, books
  2. Handing open channel information on the web
  3. Routinized information input model
  4. Capturing randomness
  5. Establishing personal access

In the previous article, we discussed the first and second points. Next, we’ll talk about advanced issues such as how to structure and routinized your daily information intake, how to capture the randomness, and how to build your own non-public access.


3. Routinized information input model

Now start sorting out how your time is passing, and evaluate and redesign it

First, organize your daily information acquisition platforms and the time you spend on each platform.

Second, think about what your motivation is behind these behaviors. For example, is it emotional motivation? Such as killing time, fear of missing something new, releasing stress, looking for curious info, looking for fun, etc. Or is it a use motivation category? For example, follow some opinion leaders who think they will bring valuable insights, subscribe to the news, and comment on the market to track the dynamics of the companies they invest in, etc.

Third, evaluate the time you spend as mentioned above and strictly control the proportion of information in the emotional value category. This is because the current business model of most platforms is passive recommend and push, and it is the nature of such a business model to occupy users’ attention.

From a statistical point of view, most users’ emotional value is excessive and easily manipulated by the producer and mechanism of platforms, resulting in time, attention, cognition, money, and decisions being seriously affected.

Therefore, thinking outside the box, redesigning your information intake, and avoiding the above effects is crucial. Now immediately evaluate the percentage of time you spend on information intake of emotional value. You may find it is surprisingly high. But what about the real emotional value it brings to you (e.g., releasing stress)? Research shows that different sources of stress require different types of release. When you’re swiping news and interesting short videos, time just passes and your attention is occupied too much, instead, you get more tired. Oh yeah, maybe you end up spending money because it’s really an ad or deliberate volume-generating content. Why else would the creator go to the trouble of making you watch this interesting video?

Fourth, recognized and categorized the users you follow. A user’s subscription mechanism will make that user’s content resident in your daily info stream. Therefore, please be careful with this type of behavior of following and subscribing. Learn to value your attention and don’t sell your precious attention and time cheaply (e.g., more and more business models are chasing active volume, making it now a very cheap behavior).

And then, once we have structured our information input model, how to routinize and operationalized it daily is an often ignored but important issue. Since we can’t live without information taking daily, if we only focus on what we should do and ignore the results, i.e., how to strategically design behavioral processes to better help us make them routine and sustainable, so that they eventually produce long-lasting benefits, it will result in unproductive results.

Therefore, we should focus on the behavior’s cost and payoff. Thinking about this in terms of human behavior design can help beyond expectations. Several areas can help you think about this.

-Massively streamline and categorize your following users. Define what value you’re getting from this person and what level of attention is appropriate. In short, treat your information flow like your project metrics.

-Streamline and categorized your daily information acquisition platforms. Filter your platforms carefully and be clear about the type of information you get on that platform. This need to be taken seriously because the amount of information that is duplicated and ported leads to a lot of abuse of our attention by different platforms. Take this seriously. For example, if the publishers of your professional type of information are active on platform A, it is not wise to expect to waste time daily on the referral stream on platform C.

-Use automated tools to centralize fragmented information and flexible adjust capture strategies to improve efficiency and quality. For example, I, including many of my friends, build automated tools to help filter and organize information. The benefits of doing this are huge, saving a lot of time while also being able to adjust strategies and algorithms at any time. This helps you to gain an information advantage from a large amount of fragmented information in the public channel. For example, in the emerging field of web3, which developed very fast, the source is very fragmented as well, and the quality varies. There are many automated information screening and integration tools. Partners with certain development skills can even achieve a certain degree of self-iteration. It’s very flexible.

There is very much to share about building automated information filtering tools, as it is about how to build a valuable information capture network. For example, the network is first composed of relevant information nodes, how to use some strategies to find these nodes, how to determine the quality of the information in nodes, and how to determine the quality of the information in one node over another, etc.)

Regarding such tools, they can be designed as strategic products. I have also made some considerations before. The main value of those products is to help people improve the quality and efficiency of information screening. Maybe later put into the project pool for further planning.

4. Capturing randomness

After taking the 80-90% share into daily use, a more advanced model needs to be actively designed with a certain percentage of randomness. On this point, it is a principle that I personally use in many cognitive models. The active inclusion of randomness is essential, just as an iterative recommendation system needs to include variables to infer and expand the boundaries of user preference, randomness is necessary for many simulations to grow and evolve.

In my worldview, consciously adding randomness is also my way of respecting the uncertainty of complex systems. After all, what we can determine and plan for will always be insignificant compared to the chaos beyond the set. So, be sure to design a certain amount of redundancy into your information capture model to leave it unknown, and perhaps, just in retrospect, these uncertainties are what drive many things forward.

5. Establish unique non-public information acquisition channels

Information obtained from public channels can be treated as lagging info in making subsequent judgments. Public information is a thing that has already happened. Therefore, when you need to make a judgment that requires a high degree of timeliness, you cannot treat info from public channels as unrealized news, or you will make a serious cognitive mistake.

Usually, before something is made public on a large scale, it will be made known on a small, non-public scale. This should be considered common sense.

The high-level people often have their own front-line access to information, which is an important asset of a person. Because many gains often come from a large information gap. Therefore, the continuous construction and upgrading of their own access to information reflect the integration of a person’s resource network. Once the channel is established, its credibility will be much higher than the public one. At the same time, the reason why it is called one of the most valuable assets for individuals is its construction difficulty and the quality gap is also great.

The wood that holds together is born from the grass. Statistically speaking, there are very few people who have built valuable private information channels. But it also means that once established, the gap is very huge. Building and operating channels and networks is a long-term goal. As the capital for compound interest to be effective, time is on our side.

重塑你的信息输入结构（二）

常规化你的模型，添加随机性，建造独有的信息获取渠道

Photo by ThisIsEngineering on Pexels.com
Overview
  1. 书，还是书
  2. 处理网路公开渠道信息输入
  3. 将信息输入模型重新设计及常规化
  4. 捕获随机性
  5. 建立独有的非公开信息获取渠道

上一篇文章我们讨论了第一、二点。接下来我们来谈论如何将日常的信息摄入结构化、常规化，如何在你的信息摄入与处理模型中捕获随机性，以及如何建立自己的非公开信息获取渠道等进阶问题。


3. 将信息输入模型重新设计及常规化

现在开始梳理你的时间是如何大量流逝的，并对其进行评估与重新设计。

第一，整理你日常的信息获取平台，及在各个平台上花费的时间。

第二，思考这些行为背后你的动机是什么。比如是情绪动机类？如消磨时间、怕错过新鲜事、释放压力、寻找猎奇信息、寻找乐趣等。或者是使用动机类？比如关注一些意见领袖是认为会为自己带来有价值的信息与观点，关注市场上的消息和评论以跟踪所投公司的动态等。

第三，将你上述大类所花费的时间进行评估与再设计，严格控制情绪价值类信息比例。这一点实际是因为目前的大部分平台的商业模式为被动push，而大量占据用户的注意力和认知是此类商业模式的本质。从统计的角度，大部分用户情绪价值类信息摄入过量，且容易被生产者/平台的机制操控认知弱点，造成大量的时间、注意力、认知、金钱、决策被严重影响。因此，跳出来思考，对自己的信息摄入进行再次设计及规避上述影响非常关键。现在立刻评估你的情绪价值类信息摄入的时间占比，你也许会发现高得惊人。但是反过来想其给你带来的真正情绪价值（如释放压力）呢？研究表明，不同的压力来源需要不同的释放方式。当你在刷新奇有趣的短视频时，时间大量流逝，你的注意力被占据过多，反而更累了。哦，对了，也许你最后还乱花了钱，因为这实则是一个广告或刻意赚取流量的内容。不然创作者为什么要费尽心思让你观看他的有趣视频呢？

第四，重新整理、分类你关注的用户。用户的订阅机制会使该用户内容常驻在你的日常信息流中。因此，请谨慎对待关注/订阅这一类操作。要学会珍惜自己的注意力，不要将宝贵的注意力和时间进行廉价变卖（比如越来越多的商业模式对流量的追捧，使得关注现在变成十分廉价的行为）。

而后，一旦对我们的信息输入模型做了结构化的设计后，如何将其常规化、操作日常化是经常被忽视但却十分重要的问题。由于我们每日都离不开信息的摄取和处理，如果只停留在我们应该怎么做，而忽视了结果—即怎样有策略地设计行为流程，才能更好的帮助我们将其常规、持续化，使得最终产生长久助益，会造成只是心血来潮，而收效甚微的结局。

因此，思考如何将我们的信息输入模型常规化，需要关注行为的成本、收效。从人的行为设计角度思考这个问题会带来超乎预期的帮助。有几个方面可以帮助你思考这个问题：

-将关注用户进行大量精简及分类。明确你在这个关注用户的身上获得怎样的价值，以及怎样的关注程度是合适的。总之，对待你的信息流像你的项目指标一样。

-将日常信息获取平台进行精简及分类。谨慎筛选你的平台，并明确你在该平台上获得的信息类型。需要严肃对待这一点是因为大量的信息重复和被搬运化导致我们的注意力被不同平台大量滥用了。认真对待这一点。比如，你的专业类信息的发布者都在A平台上活跃，指望在C平台上的推荐流上每天浪费时间是不明智的。

–用自动化工具将碎片化的信息进行集中，灵活调整捕获策略，提高效率和质量。例如我包括我有许多朋友，都会自己build一些自动化工具来帮助进行信息的筛选和整理。这样做的好处非常大，在节省了大量的时间的同时还可以随时调整策略和算法。以此帮助自己再大量的公开渠道的碎片化信息中获得信息优势。比如像在WEB3.0这种信息迭代非常快速，来源十分碎片化，质量参差不齐的新兴领域，就有许多自动化的信息筛选整合工具。具备一定开发能力的小伙伴甚至可以实现一定程度的自行迭代，十分灵活。

（有关build自动化的信息过滤工具其实有非常多的东西可以分享，因为这关乎如何构建一个有价值的信息捕获网络的问题。比如网络首先由相关的信息节点构成，如何利用一些技巧找到有价值的信息节点，怎样判断一个节点的信息质量大于另一个节点等）

（关于此类工具，其实可以作为一个策略产品进行设计。我也进行过一些考虑。产品的主要价值在于帮助人们提高信息筛选的质量和效率。也许后期放到project pool中进一步规划）

4. 捕获随机性

将8-9成的占比日常化后，一个更高级的模型需要主动设计一定比例的随机性。关于这一点，是我个人在许多认知模型中都会用到的原则。主动加入随机性是十分必要的，就像一个迭代的推荐系统需要加入变量去推责和拓展用户的喜好边界，随机性是许多模拟得以生长和进化的必要条件。在我的世界观中，有意识去添加随机性也是我对不确定性的复杂系统的尊重。毕竟，我们能确定的、规划的东西相比集合之外的混沌来说，永远都是微不足道的。所以，在你的信息捕获模型中一定要设计一定的冗余留给未知，也许就回过头来看，这些偶然的位置是推动许多事情进展的关键。

5. 建立独有的非公开信息获取渠道

关于公开渠道获得的信息，其实在做后续的判断中，都可以当作滞后信息处理。公开信息是已然发生的信息。因此，在你需要做一个对于时效性要求较高的判断时，不能讲公开渠道的信息当成是未然信息，不然就犯了严重的认知错误。

通常，在一件事情被大范围的公开前，其将在一个小范围的非公开场合被获知。这一点应该被视为常识。而“高段位”者常常拥有自己的一线信息获取渠道，这是一个人重要的“资产”。因为许多收益常常因大量的信息差而来。因此，持续建造、升级属于自己的信息获取渠道是一个人资源网络整合的体现。一旦渠道被建立，其可信程度将远远高于公开的信息网络。但同时，之所以称之为对个人最具价值的资产体现之一，其建造难度和质量差距也是极大的。

合抱之木，生于毫末。统计上讲建立了有价值的信息渠道的人是极少数的。但也意味着，一旦建立了，拉开的差距也是巨大的。渠道和网络的搭建和经营是我们长期的高价值的事业。作为复利得以发挥效力之处，时间站在我们这边。

How to Reshape Your Information Inputs (Part Ⅰ)

It’s a precondition for making quality decisions

Photo by Mike B on Pexels.com
Overview
  1. Books, books, books
  2. Handing open channel information on the web
  3. Routinized information input model
  4. Capturing randomness
  5. Establishing personal access
Content

COVID seems to have become the butterfly wings that stirred the world. Many Extremistan occurred in sequence. News and opinions from all sources flooded into view. In the deluge of information, it is important to create a systematic program to improve the quality of information intake. This is the first step in making good decisions.

Instead of expecting to directly persuade an adult, it is better to change the environment he is in.

1. Books, books, books

Here are some of my suggestions.

  • Good insights are in the books.

    Since books are mostly tied to authors by their real names, this is a better guarantee of confidence in the content than other source of information.

  • Books are mostly more systematic knowledge.

    Books generally discuss ideas relatively completely and show source of information, arguments, etc. It has many benefits for you to perceive and disperse the topic.

  • Long time is the best sifter.

    Classic and even basic books that have been sifted through over time are apples of wisdom that should not be ignored.

    Looking back to my learning process for large chunks of knowledge, books were always my first starting point. And often the most critical one (of course, how to start also requires a set of methods, and is one of the topic I will write about later). Especially in some traditional issues, you find a book that refreshes your mindset, congratulations, you have found a “node of the network”, a valuable node. Then dig into it!
2. Handing information input from open channels on the internet

Online open channels are likewise not to be ignored, and many of them possess the advantages of breaking through physical limitations, timeliness, and diversity. The efficiency of people’s use of this channel is characterized by a barbell distribution and a high degree of differentiation. There is a lot to learn about how to use information from open channels on the internet. We will find an opportunity to go through it in detail in a subsequent article.

First, I will list a few points.

  • Always find a more open information environment, not the other way around.

    I thought about this when I chose my main publishing platform. In many countries and regions, the information people post is heavily censored. Many users post content that is owned by the platform side, which is subject to strict political regulation. This has a serious impact on the vitality of production and the quality of information posted.

    As individuals, strategies are as follows.

    (Producers)
    -Kits like VPN, languages, etc.
    -Don’t rely on single platform
    -Regularly archive content offline

    (Consumers)
    -Kits like VPN, languages, etc.
    -Choose more open platforms to access info and consider more regulated platforms as watch pools

  • Be cautious with second-hand information

    Much info is presented to the public only after a passive first screening. Market news, for example, often lags and is intentionally released at some time. Therefore, raise caution. If there is a high demand for information such as timeliness, any news seen in public can be treated as second-hand information.
  • Some general knowledge and experience in communication science will make your information screening more effective.

    The study about information and communication has been around for a long time. Therefore, as mentioned earlier, it should first be considered that this is not a new field. Therefore, many concept in the field of communication science are useful for establishing a basic understanding of human-information interaction. For example, the discussion of propaganda, persuade, source, and medium.

  • Sources are very important.

    For information obtained from public channels, it is very important to directly find the source first. There are several skills as followed.

    -It is crucial to find the source, as opposed to second-hand information or rewriting of ideas
    -Find the source by using references and some search skills
    -Pay attention to cross-checking between sources

  • Pay attention to the people behind the content of the information platform.

    A large amount of online information is now mostly published through social platforms, and the cost of publishing is greatly reduced also leading to a wide gap in the information quality. But if used properly, this neutral tool will give you a huge advantage. I think the most important thing for the social platform information access is to judge with probability and focus on people. As an example,

    –Pay attention to social identity information. Information about industry posted by a real name account (meaning tied to a people’s real social identity) that you follow on Twitter has a higher confidence than a non-real name account.

    -Notice on positions. In game scenarios, people from neutral backgrounds (meaning no obvious bias of interest) are more credible.

    -Marking people valuing their reputation. For some people, reputation is an asset that needs to be carefully maintained. If you have identified this group of people, increase the credibility of their words from an average level.

    -People opposing the previous one, mark them as well. Reducing their credibility significantly from the average level.

    -Identify advertising content. This is also related to the second point. We assume that the publisher of the information must be motivated. Such as interest, psychological, etc. Couple with the business model of web2 social platforms, most of the seemingly neutral content may imply an intention. These are the key thing you need to correct in your perception.


Never waste your time. Remember, you will become what you pay attention to lifetime.


The next article will focus on the following points


3. Routinized the information input model
4. Capturing randomness
5. Create unique access to non-public information and insights

重塑你的信息输入结构（一）

改善信息输入质量是做出高质量决策的前置条件

Photo by Mike B on Pexels.com
Overview
  1. 书，还是书
  2. 处理网路公开渠道信息输入
  3. 常规化信息输入模型
  4. 捕获随机性
  5. 建立独有的非公开信息获取渠道
Content

新冠疫情似乎成为了煽动世界的蝴蝶翅膀。大量的极端斯坦事件依次发生。各个渠道消息和观点大量涌入视野。噪声纷杂。期间，我也深刻认识到有策略地改造信息输入，以及将其常规化是如此重要。在信息洪流中，建立一套系统方案去提升信息摄入质量。这是我们做出高质量决策的第一步。

与其奢望直接说服一名成年人，不如去改变他身处的环境。


下面我的一些建议

1. 书，还是书
  • 书是质量更高的观点。由于书籍大多和作者进行实名绑定，相比其他信息来源，这一点更能保证内容的置信度。
  • 书籍大多为较为系统的知识。书籍一般会将观点进行相对完整地论述，并展示信息来源和论据等，这对你去认知和发散话题有大量的好处。
  • 长久的时间是最好的筛选者。经过长时间筛选的经典书籍甚至基础书籍是不容忽视的珠玉。

    回顾我对于大块知识的学习过程，书籍总是我的第一个起点。也常常是最关键的那个（当然，如何开始也需要一套方法，也是我后面会写作的话题之一）。尤其是在一些传统的问题，你总能站在巨人的肩膀上去认知。那么，当你找到了一本refresh your mindset的书籍，恭喜你，你找到了“网络的一角”，一个有价值的结点。接下来像你打造的模型一样挖掘吧！
2. 处理网路公开渠道信息输入

网络公开渠道同样是不容忽视的，大量的渠道拥有突破物理限制、时效性和多元化的优势。人们对这一渠道的利用效率具有杠铃分布的特点，区分度极高。对于如何利用网路公开渠道的信息，此处学问很大。后续文章再找机会详细进行梳理。先罗列几点：

  • 一些传播学的相关常识和经验会让你的信息筛选提效。人们对信息传播的研究由来已久。因此如前文提到的，首先应判断这不是一个“新领域”。因此，传播学领域的许多概念对于我们初步建立“人和信息互动”的基本认知有很大助益。比如对于宣传/说服/信源/媒介的讨论。
  • 信源是十分重要的。重点讨论的点为“信源”。对于公开渠道获得的信息，拿到后首先条件反射定位“信源”是分外重要的。其中有几个技巧：

    -相比二手信息和观点转述，找到一手信息、信息的初始源头是关键的
    -可以通过参考文献，一些信息搜索技巧来找到信息的源头
    -注意信源间的相互验证

  • 关注信息平台内容背后的人，关注语境。大量网络信息如今多通过社交平台发布，发布成本大大降低也导致信息质量差距悬殊。但是利用得当，这一中性工具会给你巨大的信息优势。对于社交平台的信息获取，我认为最重要的就是概率出发，“以人为本”。举例而言：

    -关注社会身份信息。你在twitter上关注的一个实名账号（指跟人的真实社会身份绑定）发布的关于行业的信息，其置信度高于非实名账户；

    -关注立场。在一个博弈场景中，中立背景的人（指没有明显的利益倾向）更可信；

    -标记那些珍惜自己名誉的人。于某些人而言，名誉是一种值得谨慎维护的财富。如果你判别出了这一群人，请把他们的话的可信度从平均值上进行提高；

    -上一条的相反情况，也请标记出。将他们后续发言的可信度在平均值上大大拉低；

    -惯性识别出软文。这一点其实也和第二点立场相关。我们假设信息的发布者一定是具有动机的。如利益动机、心理动机等。结合web 2社交平台的商业模式，大部分看似“中立”的内容可能都暗含立场。这些都你在认知中去调正判断。

  • 永远找到更开放的信息环境，而不是相反。

    在选择我的主要发布平台时，我就对这一点进行了思考。在许多国家和地区，人们发布的信息受到了严重的审查。许多用户发布的内容所有权属于“平台方”，而平台方受到严格的政治监管。这都对平台用户的生产活力和信息质量造成严重的影响。

    作为个体，应对策略有：

    （生产者）
    -科学上网工具/语言等技能包
    -不要依赖单一的运营方
    -将内容定期存档

    （受众）
    -科学上网工具/语言等技能包
    -选择更加开放的平台获取信息，而将封闭平台视为“观察池”

  • 谨慎对待外在的第一道筛选后的信息。

    许多信息是经过被动的第一道筛选后才呈现到公开场合的。比如市场消息，常常是滞后的 ，有意在一些时刻被放出的。因此，提高谨慎。如果对于信息的时效性等要求较高，可以将公开来源看到的任何消息当滞后的二手信息处理。

    我个人早已将信息的处理能力视为数字化生存的元技能之一


永远不要浪费你时间。记住，你会成为你关注的东西。


下篇将关注以下几点，敬请期待


3. 常规化信息输入模型
4. 捕获随机性
5. 建立独有的非公开信息获取渠道