Rob Walling 2010 book for the "Micropreneur" (One Man Show Lean Startup - either for BootStrapping or permanent Life Style Company). http://www.startupbook.net/ (more)

Aaron Swartz: Bake, Don’t Fry. I really got started with this whole Web mess with the ArsDigita Prize where I learned how to build database-backed websites by building one myself. (more)

Cedric Chin: The Amazon Weekly Business Review. You may need to read the previous essay — titled Becoming Data Driven, From First Principles — to get the most out of this one. That essay lays out the worldview that backs the WBR. Do that first. 2024-01-08-ChinBecomingDataDrivenFromFirstPrinciples (more)

Does an RDF triple really need to be a Quad? 2003-08-31-DumbillRdfQuad (more)

Observation Orientation Decision Action (Observation, Orientation (model?), Decision/Decision Making, Action) (more)

Andy Matuschak: Ratcheting progress in tools for thought. There are some people trying to develop tools for thought, but there isn’t yet a meaningful field around tools for thought. The difference is that a field is about ratcheting: developing a growing shared corpus of general knowledge and methods which allow projects to meaningfully build on each other, across researchers and across years, on and on in an upward cycle. (compounding) (more)

Andy Matuschak is trying to use SRS in multiple ways. (more)

The goal of this research project is to find data structures and interfaces that support synthesis and innovation in a decentralized discourse graph... Welcome to our living hypertext notebook. This notebook will continue to evolve going into the future and is by no means a finished product- as such, pages exist at varying stages of completion. https://scalingsynthesis.com/ (more)

Cortex Futura: The Seeds of Synthesis. in the end, a lot of what we do in academia or as knowledge workers more generally boils down to a continuous (iterative) cycle of questions and new information (more)

the combination/integration of ideas/arguments from previously-unrelated elements, sometimes through creativity, sometimes through dialectic.

Cedric Chin: When Action Beats Prediction. One of the big ideas that we’ve covered in the past couple of weeks is the notion that ‘management is prediction’ — the W. Edwards Deming observation that you cannot run your business effectively if you are unable to predict the outcomes of your actions (more)

A prediction (Latin præ-, "before," and dictum, "something said"[1]) or forecast is a statement about a future event or about future data. Predictions are often, but not always, based upon experience or knowledge of forecasters. There is no universal agreement about the exact difference between "prediction" and "estimation"; different authors and disciplines ascribe different connotations. Future events are necessarily uncertain, so guaranteed accurate information about the future is impossible. Prediction can be useful to assist in making plans about possible developments. https://en.wikipedia.org/wiki/Prediction

The Uncertainty Project is a constantly evolving, community-driven collection of research-backed models and tools that helps companies architect processes for effective decision making. Built by practitioners, for practitioners, this is meant to be a collection of building blocks; not a heavy, prescriptive framework. It enables individual managers, teams, as well as whole organizations to implement systematic decision making practices at varying levels of complexity. https://www.theuncertaintyproject.org/ (more)

Uncertainty or incertitude refers to situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements that are already made, or to the unknown, and is particularly relevant for decision-making. Uncertainty arises in partially observable or stochastic environments, as well as due to ignorance, indolence, or both. https://en.wikipedia.org/wiki/Uncertainty

Philosophy of science is the branch of philosophy concerned with the foundations, methods, and implications of science. Amongst its central questions are the difference between science and non-science, the reliability of scientific theories, and the ultimate purpose and meaning of science as a human endeavour. https://en.wikipedia.org/wiki/Philosophy_of_science

In philosophy of science and in epistemology, instrumentalism is a methodological view that ideas are useful instruments, and that the worth of an idea is based on how effective it is in explaining and predicting natural phenomena. According to instrumentalists, a successful scientific theory reveals nothing known either true or false about nature's unobservable objects, properties or processes.[1] Scientific theory is merely a tool whereby humans predict observations in a particular domain of nature by formulating laws, which state or summarize regularities, while theories themselves do not reveal supposedly hidden aspects of nature that somehow explain these laws.[2] Instrumentalism is a perspective originally introduced by Pierre Duhem in 1906.[2] Rejecting scientific realism's ambitions to uncover metaphysical truth about nature,[2] instrumentalism is usually categorized as an antirealism, although its mere lack of commitment to scientific theory's realism can be termed nonrealism. Instrumentalism merely bypasses debate concerning whether, for example, a particle spoken about in particle physics is a discrete entity enjoying individual existence, or is an excitation mode of a region of a field, or is something else altogether.[3][4][5] Instrumentalism holds that theoretical terms need only be useful to predict the phenomena, the observed outcomes.[3] https://en.wikipedia.org/wiki/Instrumentalism

Uncertainty Project on Causal Decision Diagrams (CDD). (more)

Cedric Chin: Good Synthesis is the Start of Good Sensemaking. Let us pretend that you are a laminate manufacturer. (more)

diet and exercise program company (more)

The New 95 Theses of Schooling (more)