#2 Limits of the Zettelkasten: What We Leave Out • Zettelkasten Live
Based on Zettelkasten's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.
Start by defining the archive’s intent: it should store knowledge work meant for long-term reuse, not every kind of writing or personal moment.
Briefing
The core takeaway is that a Zettelkasten archive should be built around clear principles of knowledge work—then constrained by what the archive is meant to store—rather than by trying to capture every kind of writing or life note. One participant’s approach is “include everything” that has reusable value for production, while explicitly excluding diary-style event logging and fiction drafts. The other approach is more selective and historically evolved: early note categories became too complex, so personal material was moved out, leaving an archive focused on citations, comments on citations, and reusable ideas.
A major practical decision in both approaches is what belongs in the archive versus what belongs elsewhere. The “include everything” method organizes notes into four broad departments using double-hash tags: double hashw for scientific value (truth-oriented knowledge), double hashhL for practical, body-related work (training, nutrition, and coaching needs), double hashL for pragmatic, application-oriented domains like business and ethics, and double hashk for arts (music and novel-related writing). Even when meta-tags aren’t used constantly, they support filtering and reflect two epistemic paradigms: determining what’s true versus pursuing what’s useful and actionable.
The more minimalist approach rejects elaborate category hierarchies after years of use. It keeps the archive for material that can be reused later—citations, thoughts derived from reading, and creative ideas intended for future products—while moving diary entries out. Diary content is treated as “event logging,” which doesn’t qualify, except for rare cases where the note captures a reflection on a thought rather than the event itself. The archive also avoids storing personal data in insecure ways; for example, synchronizing through Dropbox is described as a security risk.
Both participants then zoom out to a framework with three layers: (1) knowledge work itself and how it functions, (2) the Zettelkasten method as principles rather than techniques, and (3) the software layer that merely implements those principles. That separation matters because software changes quickly, while the underlying principles change slowly. In this view, tools like nval are treated as minimal search-and-folder systems, with most method behavior derived from the archive structure rather than from complex app features.
A recurring theme is that “principle” and “technique” must not be confused. Branching, sequencing, and note-structure choices are techniques that apply principles like connection and atomicity. Even physical slip-box practices are framed as compatible with the same principles: writing one thought per slip, using the box as a buffer for learning, and relying on “re-entry” or self-similarity—applying the same organizing logic at different scales (from large outlines down to paragraph-level mini-outlines).
Finally, the discussion addresses limits: when sequences are rearranged, reconstructing the original connections can become difficult, which is why the archive must preserve enough structure to remain usable later. The practical conclusion is straightforward: be explicit about the archive’s intent, then decide what qualifies as knowledge work for that purpose—everything else belongs outside it, even if it’s meaningful.
Cornell Notes
The discussion centers on how to decide what belongs in a Zettelkasten archive and how to keep the system stable over time. One approach tags notes by knowledge-work paradigms (truth/science, pragmatic application, body/practice, and arts) and aims to “include everything” reusable for production while excluding diary-style event logging and fiction drafts. Another approach evolved from complex note categories into a simpler archive containing citations, comments on citations, and reusable ideas, with personal diary entries kept outside for both clarity and security. A three-layer model separates knowledge-work theory, method principles (not techniques), and the software layer that should remain flexible as tools change. The result is a system designed for long-term reuse, not for capturing every moment or draft.
How should someone decide what to put into a Zettelkasten archive?
Why does the discussion emphasize principles over techniques?
What is the three-layer model for understanding Zettelkasten?
How do the two approaches differ in handling personal material and diaries?
What role do tags and epistemic paradigms play in organizing notes?
How does physical slip-box thinking relate to digital Zettelkasten?
Review Questions
- What criteria make a note “knowledge work” versus “diary” or “fiction,” and how does that affect where it lives?
- How does separating principles from techniques help prevent a Zettelkasten from breaking when software changes?
- What are the risks of relying on note sequences or structures that can’t be reconstructed later, and how does the system mitigate that?
Key Points
- 1
Start by defining the archive’s intent: it should store knowledge work meant for long-term reuse, not every kind of writing or personal moment.
- 2
Use a clear inclusion/exclusion rule: citations and reusable ideas belong; diary-style event logging and fiction drafts typically do not.
- 3
Organize notes around knowledge-work paradigms (truth-oriented vs pragmatic/action-oriented) so retrieval and reuse match how knowledge is actually used.
- 4
Keep the method principle-driven (atomicity, connection, sequencing) and treat software as a replaceable implementation layer.
- 5
Avoid over-engineered category hierarchies if they don’t add real retrieval or production value; minimal structures can outperform complex ones.
- 6
Treat physical slip-box practices as principle-compatible with digital systems, especially for atomicity and re-entry.
- 7
Preserve enough structure to reconstruct relationships later; rearranging sequences without capturing connections can make future reconstruction difficult.