As part of my research on how to bootstrap understanding in a field, I’m reading books that attempt to answer that question. You might think I should have started with that, but it was useful to get a sense of what problems I needed to solve before I looked for the solution. How to Read a Book (affiliate link) is generally very well regarded in this area and came with a strong recommendation from the CEO of Roam, who I would expect to have pretty good thoughts on learning structure. Nonetheless, I was quite disappointed. It took me a long time to put my disappointment into words, but with the help of someone on Facebook I finally figured it out: How to Read a Book is aimed at a narrower subset of books than it acknowledges. What subset, you might ask? I don’t have a great answer, because the authors clearly consider the subset to be the only books, or the only books worth reading, so they didn’t leave a lot of clues.
What I can say is that it expects books to follow a rigid structure, and to have a single unifying point (what they call “the unity”). This seems to me to be setting up both the author and the reader to throw out a lot of information because they weren’t expecting to see it or couldn’t fit it into their existing frameworks- reading like a state, in essence. This is not the only thing that makes me think HtRaB is more about being able to understand a book than understand the world, although it’s the only one I can articulate.
How to Read a Book didn’t even attempt to answer my current most important question in reading: How do I know what to save or pay attention to? More attentive reading (including but not limited to note-taking) takes more time and more mental effort. Even if it was free, every additional memory or note eats up space in my brain or exobrain and makes it harder to find other thoughts when I look for them. But I don’t necessarily know how important a piece of information is when I read it. Good pre-reading might help me know how important it is to that particular work, but never to my life as a whole.
HtRaB acknowledges that different works have vastly different returns to attention and you should allocate your reading effort accordingly, but I don’t feel like it gave me guidance for choosing what to pay attention to, and I have a suspicion that if I pressed the point the authors’ answer would be extremely in line with the literary and scientific canon of the 1940s-1970s.
My favorite section of How to Read a Book is also the most mechanically detailed: the algorithm for pre-processing a book (explained in detail here). I don’t know if this was the most useful to me because it was the most detailed or because a teacher once told me skimming was immoral and I needed that to be challenged.
For the meat of reading, How to Read a Book suggests questions to ask but not how to determine the answer. To be fair, this is hard. As I work on my own guide to reading I’m intensely aware of how difficult it is to translate the intentions and external appearance of what I’m doing to inner workings comprehensible to many, or even to other people very similar to myself. I suspect there are people for whom reading these questions causes something to click in their brain and they suddenly start reading better, and that’s great, but it makes the book lucky, not good. Which is nothing to be ashamed of: sometimes a stab at a hard problem is worth more than a perfect solution to an easy one. But HtRaB’s stab did not happen to hit my particular problem, nor contain enough deep models to let me make the stab myself.
My overall impression is that this is one of those books that is helpful if you read it at the right time and pretty meh otherwise, and it was the wrong time for me. I also predicted it would be one of those books that’s notable for founding a genre but goes on to be surpassed by later books that learned from it, but when I looked at Amazon I found very little. There’s lots on speedreading, confusing memorization with learning, and “how to study to pass a test designed by someone else”, and I may end up reading some of those because the field is that sparse, but they’re not what I actually want. So if there’s a work you or someone you trust likes that attempts to answer any of the following questions, please share it:
How do you find the most likely sources of relevant or useful information?
How do you get the most (useful) information out of a sources?
How do you decide what information to save?
How do you save it in a maximally useful way?
I’m also interested if you have opinions on any of the following:
Mind Mapping: Improve Memory, Concentration, Communication, Organization, Creativity, and Time Management
Kindle Unlimited
The Lifetime Learner’s Guide to Reading and Learning
Extend Your Mind: Praxis Volume 2
How to Take Smart Notes
Accelerated Learning for Expertise: Rapid Knowledge Acquisition Skills to Learn Faster, Comprehend Deeper, and Reach a World-Class Level (Learning how to Learn Book 6) Kindle Edition
The Self-Learning Blueprint: A Strategic Plan to Break Down Complex Topics, Comprehend Deeply, and Teach Yourself Anything (Learning how to Learn Book 3)
Writing to Learn
Unlimited Memory: How to Use Advanced Learning Strategies to Learn Faster, Remember More and be More Productive
The Art of Reading
So many thanks to my Patreon supporters and the Long Term Future Fund for their support of this research.
I agree that How to Read a Book is quite underwhelming.
To me, How to Read a Book epitomizes the Modernist take on knowledge, implicitly assuming that the goal is to assemble all the facts together, discard the ones that aren’t true, and then figure out how they fit together so you can achieve your goals.
Of course, finding facts and figuring out if they’re true is important, but there are lots of other important things you might want from learning like understanding thinking styles and frames, generating frameworks, understanding how the knowledge fits into other frameworks, inferring intent, getting context, creating useful actions, etc. All of the things that Postmodernism and Metamodernism where trying to critique about the Modernist framework.
I haven’t found a great resource that does what How to Read a Book does for learning in a Meta-modern context, but I did make a video a while ago with all of the mental models, tools, and processes I’ve collected in this vein. I don’t normally recommend it to people because it’s almost 20 minutes, but you specifically might get a lot more than 20 minutes worth of value by watching it.
Video is here if you’re interested.
I have/had all the problems that are mentioned in the post, but as of late I am observing that as I read more books on a single topic, it allows me to maintain my natural rythm without having to strain myself to be hyper-attentive. And the added benefit I see is even if I miss some quirky details in the first book due to lack of attention, it somehow starts to come together on its own by the nth book(for me it has been 2nd or 3rd). On the other hand, I don’t think my attention span has improved drastically, but I would say that it has definitely improved by some margin due to meditation and reading more, at least to a point of being able to realize that it has.
As for note-taking, I would also love to know how do people take notes, to me it feels like a flow-breaking activity to a point that I’ve come to detest doing it. Also as you say, sometimes the divided attention b/w I have to mark/note important things vs I have to maintain my focus makes it a tiresome activity to read, and sometimes it just feels like almost everything is equally important. So if someone could answer that I’ll be grateful. To be precise my interest is in converting offline margin notes to online notes, and knowing how people decide what is important in the first read.
And among the books you’ve listed, I have read the “The Art of Reading”, but I felt it was rather underwhelming, meaning, it never says anything about how to read, in fact, the entire book is weaved around the idea of kindling your interest in reading by explaining snippets of various prose written by various accomplished authors on how good reading requires good writing. Not good if you are already interested and don’t want to blame the author for not writing well or making it too dense; and are only looking to up the attention/retention game, note-taking etc.
My approach to the margin note/marking conundrum:
I primarily use digital sources. Most e-book software has an option to just look up your mark ups, and to extract them. This makes things easier. What I’m describing here works with physical books as well, so I will describe different processes for physical and e-books as necessary.
I use mark-ups as a ‘look at this passage a second time’ marker. I use two markers (Marker colors or marks like a cross and circle on margin). One is for ‘moderately interesting’, another is for ’resonated strongly. For the first category, use a marker color that can be overwritten by the second (like yellow, and dark red for interesting stuff).
Reading happens in two passes for me:
First pass, I read the chapter, book part or whole book from front to back, marking anything of note. If I have something to say, it goes into the marginalia (or as a comment for e-books). This is typically just things like ‘?’ or ‘contradiction > p. 53’ ; so short it takes under a second and keeps you in the book.
Second pass, I read only the marked passages and marginalia/comments. In the second pass I work straight into my preferred note taking method (in my case, I use the Zettelkasten method with Evernote as the software).
On the second pass, I copy interesting pictures etc. out of the book either by photographing them with a smartphone for the physical books, or using Windows Clipper to crop them out in case of e-books (WIN+SHift+S) - there’s a similar tool for every OS and device under the sun.
I often use the red passages as direct quotes (with proper sources and page in the external notes!). The yellow passages are getting summarized in the notes. I also try to answer/solve the marginalia in my head and to add them to the notes, as they’re often very insightful.
This way, initial reading is a lot faster and pain-free. On the second pass, you also know the gist of the book and are more easily able to compress the marked information and to sort nice-to-know, have-to-know and irrelevant (that’s why I use two colors; anything unmarked → probably irrelevant). Remember: marking is just for finding things, it’s not note taking on its own. So re-read as quickly as possible. The intervals for re-reading (if after each chapter or after finishing the book) depends on how dense the book is.
This technique can of course be combined with other techniques like pre-reading and skimming Adler talks about in his book. For skimming, I mark interesting passages to re-read vertically down the margin, usually whole paragraphs. For e-books, I mark the first few works of a paragraph. Then I proceed as usual, or do not read non-premarked passages at all.
Assuming you have not found the answer to this question.....
For each question.
Depends on your definition of useful or relevant. In most cases, knowledge that is generated is contextual to what it’s been interpreted and used for, so you generally ask questions, like, for example, in terms of relevance: Which source is likely the most credible and less fallacious towards acquiring information. If you need useful sources on that, search The Hierarchy of Practical Evidence by Cedric Chin. For more scientific sources, there probably exists a much better method that I’m not aware of.
And. 3. Three heuristcs helped me ranked information:
The Barbell Method of Reading on zettelkasten.de https://zettelkasten.de/posts/barbell-method-reading/
The Time and Detail Heuristic by Fsblog on determining which books to read and put in your mental linrary(on medium) https://medium.com/personal-growth/what-you-spend-time-reading-changes-your-brain-ee2ab4f2aa17
(less used) Informania Shield by Nat Eliason on https://www.nateliason.com/blog/infomania
Depends on your preference for processing information, but for efficiency, someone mentioned this earlier; using a Zettelkasten for note taking and knowledge management. A Digital markdown note taking app is often more manageable than a physical one in terms of transportation and searchability.
I can confidently say that I use the Barbell Method and The Time and Detail Heuristic intuitively when evaluating information.
I have read How to take smart notes by Söhnke Ahrens, in its German original language. A few observations I’ve made:
The book, despite its English title, isn’t really about note taking in general. It describes how to implement one specific note-taking technique, the Zettelkasten (ZK), or slip box, method. The premise is that you need to do knowledge work in order to write something like a master thesis or scientific paper.
The strength of this method is to avoid putting knowledge you extracted from books into information silos. Instead, extracted notes are free-flowing and interconnected.
This doesn’t really solve the problems you mentioned on their own, especially the one about not knowing what to read more carefully and what to gloss over. However, in the ZK technique, you can really easily combine notes of multible sources. I usually just extract notes from a summary about the book somewhere. After that I read the book and I fill in the gaps around the summary notes and append interesting things to already existing information. Depending on the information richness of the book source, that’s either almost nothing new compared to the summary extraction (and quick work) or a lot of new details & information (and takes longer).
The weakness of the ZK method is that it can be very time consuming (moreso than other note taking methods), depending on how much you want to extract from the source. There’s also time on administrative things like connecting and organizing notes. You will also need a computer for the note-taking work; you can read/listen to/watch the source as usual. The technique is applicable to all kinds of sources, I also extract from lectures, audio books and YouTube video.
There’s a lot of ‘why’ and argumentation for the Zettelkasten technique. The argumentation however is really shallow and mainstream, and glosses over a lot of ground in passing.
This would be awesome for someone who needs directions on where to look next, and would be a good beginning for source-hopping. However, if you’ve read books that go into more detail or even the sources themselves, it feels like name dropping.
An example would be the short sub-chapter on habit formation (“Make it a habit” ), which feels like a introductory chapter of a graduate thesis rather than a book that is supposed to be riveting.
Also, I’m personally not a fan of the distinction between long-term, project and short-term notes in context of the ZK.
The writing style is very structured and feels German to it’s core. You instantly feel that a scholar is writing, instead of a science educator.
This is a welcome change to most popular science or self-help books, who are way too long and anecdote-ridden.
When you follow the book from front to back, it feels like a step-to-step introduction on how to work on books with the ZK method.
The structure follows a three part approach:
The introduction, which includes general things like the goal and approach of this book, and also preliminary steps to set up. It gives very practical tips on setup.
The second part talks about principles and theory. This is the part I’m not too happy with, as it’s too shallow and short.
The last third, “The six steps to successful writing” is about the implimentation of the technique and how this approach is different from more traditional reading and knowledge work. The goal isn’t the extracted knowledge per se, but to use that in other writing projects—the book assumes academic writing.
I’m personally an avid fan of the Zettelkasten and use it extensively, together with Progressive Summarization (Tiago Forte) for the preliminary work on short-form written sources (and Cornell method for lectures/video sources). This book serves as a neat primer for getting started, or to think about your second brain from another perspective. However, it’s not word class literature and the English version reads a little awkward in my opinion.
I have personally used this book to build a skeleton of information, before filling it in with blog posts from https://zettelkasten.de/ . However, reading https://zettelkasten.de/posts/overview/ is a good alternative for that.
I started How to Take Smart Notes (before writing this post) and have read/watched several supporting texts. I don’t get it. It’s an addressing system. It doesn’t say anything about what to write down or what things to link. Does this change further in the book? Is it one of those things where knowing a mechanical step opens new doors for certain people?
The book as well as the Zettelkasten method in itself doesn’t directly solve the problems you stated in your article. It isn’t a system that tells you what to extract out of the books you read. There’s a lot of discussion of what to extract and how deep to extract in forums, and the tequnique itself doesn’t prescribe anything.
The main problem the ZK tries to solve isn’t curation of what to extract from your sources. Instead, it tries to solve the problem of information siloing that happens when you take classic notes about books that are separate from each other. Later, the ZK becomes an Ideation tool—with enough notes in the system, you can work out new knowledge and ideas just be connecting things that weren’t connected before.
It’s not about mechanical steps, either. It’s a change in how to record and organize notes. Instead of one book > one long note about the book, you ‘atomize’ knowledge into many smaller notes. Each of these notes are like mini-Wikipedia articles about a specific thing. Than you re-connect the notes, like in the world wide web. One book leads to many notes, and one note can have references to many books.
Examples of note titles, just to give you an idea: ‘Reading as forgetting’; ‘the brain isn’t for retention’; ‘information bottleneck of the brain is an advantage’; ‘GTD: Getting it out of the head as central paradigm’; ‘deep learning in AI’. Those are all closely interconnected but have totally different sources. Each of those notes is between 100-300 words long.
A few observations of mine on what to take notes on:
The overarching structure of the book, as well as central ideas. I often extract that via reading techniques (reading TOC and end/summary chapters), skimming) or by reading a summery of the book.
Everything that solves a current problem I have (especially when I read a book for a specific reason, like learning)
Everything that connects to already existing notes (often, this is just a new reference to an old note).
Everything that resonates with me or makes me excited.
Sometimes, I have 4-5 new ZK notes for a 300 page book. Sometimes I make 5 new ZK notes for one page alone. The more valuable the source, the more time I will spend with it.
One interesting thing about the ZK principle is that it’s additive. If I read a few books about a subject, I don’t need to note down the basics that I read again and again. Instead, I can focus on adding the nuances and Individualities that each book adds on top of the basics. This way, there are note trails that are almost like discussions: ‘Author A says this is so-and-so’, ‘Author B says this is this-and-that’, ‘comparison Author A, Author B’, and so on. Very satisfying, and a huge boon of the technique.
I’ve read this book and tried to read it again as I thought I was missing something, but my impression of the book is that it’s somewhat sloppy, a bit preachy of ZK being a cure-all, makes much more complicated a very simple system to the point of obfuscating the main point.
To my understanding, all the Zettlekasten is is having notes with:
1. individual names (if you look for one name, one note comes up),
2. creating links between associated ideas (if you think, “wow, this reminds me of...” you may forget that connection later, so you link them), and
3. having indexes to point you to good starting points when you develop strings of thoughts / notes.
The indexes are the most complicated part. It’s just that you don’t file notes under a single folder (as it separates from the ideas that aren’t related, but also the ones that are) so instead you semantically connect ideas on an object level basis. In order to get a general sense of the full thought you developed (“when I was researching about x, what were the main conclusions I came to?”) you can look at these indexes for a nice directory of your past thoughts.