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Data/Data Culture.md

@@ -6,6 +6,7 @@
   - If analysis is not actionable, it does not really matter. Analysis must drive to action. [Clear results won't spur action themselves](https://www.linkedin.com/posts/eric-weber-060397b7_data-analytics-machinelearning-activity-6675746028144205824-CQxW/). The organization needs to be ready to pivot when something isn't working.
   - [Data's impact is tough to measure — it doesn't always translate to value](https://dfrieds.com/articles/data-science-reality-vs-expectations.html).
   - The Data Team should be building and iterating the [Data Product](https://locallyoptimistic.com/post/run-your-data-team-like-a-product-team/).
+  - Notebooks are a workshop. Production systems are the factory. Not everything needs to be put into production. Not everything should be a notebook. You need both. Lean in to the strength of each.
 - Data is fundamentally a collaborative design process rather than a tool, an analysis, or even a product. [Data works best when the entire feedback loop from idea to production is an iterative process](https://pedram.substack.com/p/data-can-learn-from-design).
   - [To get buy in, explain how the business could benefit from better data](https://youtu.be/Mlz1VwxZuDs) (e.g: more and better insights). Start small and show value.
   - Run *[Purpose Meetings](https://www.avo.app/blog/tracking-the-right-product-metrics)* or [Business Metrics Review](https://youtu.be/nlMn572Dabc).
@@ -30,13 +31,15 @@
 - Data systems can establish methods for understanding the world even as it becomes more complex.
 - Data literacy can create pathways for anyone to contribute equally to the organization's reality.
 - Create a single space as the central place to post [[Data Request Template|data requests]].
+  - On the other hand, data analysis and data science are domain level problems and cannot be centralized.
 - Create a single space to [[Sharing Data Insights|share the results of analysis and decisions made based on them]].
   - Log changes so everyone can jump in and be aware of what’s going on.
   - Log assumptions and lessons learned somewhere. This information should loop back into the data product.
 - Make the warehouse the source of truth for all the teams.
   - What data is Finance/HR/Marketing using to set their OKRs? Put that on the warehouse and model it.
   - [[Metrics]] should be derived from the most realistic data sources. E.g: using internal databases instead of product tracking for "Users Created".
 - Do you want better data? Hire people interested in data!
+- Good use of data is, ultimately, a question of good epistemology. (“Is this true? What can we conclude? How do we know that?”) Good epistemology is hard. It must be taught.
 - **When things are going well, no one cares about data**. The right time to present data is when things are starting to go bad. Use your early warning detection systems to understand when it looks like it's gonna be time for data to step in and save the day and then position data as a solution in the context of whatever meaning makes sense. The stakeholders are decision makers and they don't have a ton of time. They're looking to make decisions, they're looking to solve problems.
 - [So much of data work is about accumulating little bits of knowledge and building a shared context in your org so that it's possible to have the big, earth shattering revelations we all wish we could drive on a predictable schedule](https://twitter.com/imightbemary/status/1536368160961572864).
 - You won't have the best allocation of resources in a reactive team. Data teams need extra [[slack]]. [Balance user requests with actual needs](https://scientistemily.substack.com/p/product-management-skills-for-data).
@@ -66,6 +69,7 @@
   - Measure [[data quality]] to help set high standards for your data team.
   - Only after measurement can you optimize cost.
   - Only after timing can you make things faster.
+  - [Forecasts need to have error bars](https://andrewpwheeler.com/2023/11/19/forecasts-need-to-have-error-bars/)!
 - [Aim for a culture of celebrating measurable progress and learnings, versus celebrating shipping](https://erikbern.com/2021/07/07/the-data-team-a-short-story.html).
 - Align company on key actions. Every stakeholder should know how to explore that data.
 - Do pre-mortems. Where would we see the impact of *X* going wrong? Model that and plot it on a dashboard.
@@ -106,4 +110,5 @@
   - Analytics: Making sense of data to guide decisions
 - Make your [modeling technique](https://data-columns.hightouch.io/untitled-2/) explicit.
 - Have a documentation [entry-point for Data](https://github.com/mozilla/data-docs).
-- [For self-serve, aim to own as little as possible but keep in mind you can't make people do what you want but cans top them for doing what you don't want](https://youtu.be/wyW6hQGZxgY).
+- [For self-serve, aim to own as little as possible but keep in mind you can't make people do what you want but can stop them for doing what you don't want](https://youtu.be/wyW6hQGZxgY)
+  - [You need to make a grocery store. You can’t give folks directions to the farm to pick their own produce](https://twitter.com/teej_m/status/1603205457992044545).

Open Data.md

@@ -259,6 +259,7 @@ Indeed! With LLMs on the rise, community curated datasets become more important
 - [Data is Plural](https://github.com/data-is-plural)
 - [Data Liberation Project](https://github.com/data-liberation-project)
 - [Opendatasoft](https://www.opendatasoft.com/)
+- [Data Liberation Project](https://www.data-liberation-project.org/)
 
 ### Indexes
 

Podcasts.md

@@ -9,5 +9,5 @@ You can explore all the podcast I'm subscribed to in [my PocketCast list](https:
 - [Mindscape](https://www.preposterousuniverse.com/podcast/). Conversations with the world's most interesting thinkers. Science, society, philosophy, culture, arts, and ideas.
 - Spanish.
 - [Fall of Civilizations](https://fallofcivilizationspodcast.com/). A podcast that explores the collapse of different societies through history.
-	- [Gabinete de Curiosidades](https://www.gabinetepodcast.com/).
-	- [Kaizen](https://www.jaimerodriguezdesantiago.com/).
+  - [Gabinete de Curiosidades](https://www.gabinetepodcast.com/).
+  - [Kaizen](https://www.jaimerodriguezdesantiago.com/).

Reducing Environmental Impact.md

@@ -15,8 +15,8 @@
 - Donate to birth control projects.
 - [[Systems|Systemic problems need systemic solutions]]. We can't get there if everyone thinks they already "did their part" (turning off light switches, turning the thermostat down a degree, paper/metal straws, sorting recycling).
   - [Individual actions aren't enough to improve the current state](https://www.youtube.com/watch?v=DYLWZPFEWTw). They give a false sense of progress [while not doing much progress](https://criticalscience.medium.com/climate-change-on-a-little-planet-b859721767d5). E.g: recycling doesn't seem to make a dent in climate change and [recycled plastics are often actively harmful, poisoning people or ending up in the sea](https://hwfo.substack.com/p/an-illustrated-guide-to-plastic-straws). Choices like your diet or how much you take the car have a much bigger impact.
-	- [The cultural dynamic in many places of serving more food than your guests can possibly eat–as a form of status or generosity–is persistent and wasteful. But it's just a small part of a system that needs fixing](https://seths.blog/2023/04/profiting-from-food-waste-confusion/).
+    - [The cultural dynamic in many places of serving more food than your guests can possibly eat–as a form of status or generosity–is persistent and wasteful. But it's just a small part of a system that needs fixing](https://seths.blog/2023/04/profiting-from-food-waste-confusion/).
   - [By focusing on the individuals, we miss the much bigger problem of climate change.](https://youtu.be/RSgXcFdHxFI?list=WL). Around 70% of emissions come for 100 companies. Push governments to transform the economy so individuals don't have all the pressure.
   - It's hard to make changes since climate change happens slowly and doesn't trigger our fight and fly response. We need [[Incentives]] that makes buying and using the good things the selfish thing to do.
   - What's good for the individual is harming the collective and no one is going to concede because is not [[Thinking|rational]]. E.g: it's cheaper to buy an foul car than an electric one.
-	- Tesla is changing the incentives so even if you don't care about environmental change, you'd buy a Tesla.
+    - Tesla is changing the incentives so even if you don't care about environmental change, you'd buy a Tesla.

Social Media Issues.md

@@ -3,7 +3,7 @@
 <iframe width="640" height="360" src="https://www.youtube.com/embed/k1BneeJTDcU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
 - Internet algorithms are [[Systems|complex profit-maximizing systems]] that want to spoon feed you whatever you're most likely to click on. This is a win-win, symbiotic relationship—until it's not. When the algorithm is luring in your primitive mind against you, the relationship is parasitic. [The algorithm will learn to show thing that will further confirm and strengthen your existing viewpoints](https://www.ted.com/talks/eli_pariser_beware_online_filter_bubbles).
-- Each app is competing against the other apps. Only the apps that grains your [[Focus|attention]] continue. Over time, your attention is more and more hacked by these apps. All exist to sell your attention to advertisers. Each one has a team optimizing the attention hackin[]()g.
+- Each app is competing against the other apps. Only the apps that grains your [[Focus|attention]] continue. Over time, your attention is more and more hacked by these apps. All exist to sell your attention to advertisers. Each one has a team optimizing the attention hacking.
   - Social Media apps might be dangerous due to the amount of data they track. Data is not the new gold, it is the new oil, and it damages the social environment. [If you feel you are being watched, you change your behavior](https://www.socialcooling.com/). [Loss of privacy leads to loss of freedom](https://robindoherty.com/2016/01/06/nothing-to-hide.html). This may limit our desire to speak or think freely thus bring about “chilling effects” on [society—or social cooling](https://reasonandmeaning.com/2017/10/31/what-is-social-cooling/).
    1. Your data is collected and scored.
    2. Your digital reputation may affect your opportunities.

Talking.md

@@ -25,4 +25,5 @@
 - Will you eat synthetic meat?
 - [Things to argue about over the holidays instead of politics](https://dynomight.net/arguments/).
 - Cognitive reflection test
-- What is your life default stress/drama level 1 to 10? Where are you now?
+- What is your life default stress/drama level 1 to 10? Where are you now?
+- Why do people doesn't seem to know how to draw a bicycle?

Web3.md

@@ -89,6 +89,7 @@ There is an emerging landscape of [Data and Blockchain](https://primodata.org/la
 - [Digital Assets Examples](https://github.com/aws-samples/digital-assets-examples)
 - [Subsquid](https://subsquid.io/)
 - [Cryo](https://github.com/paradigmxyz/cryo)
+- [NanoDB](https://github.com/mistakia/nanodb)
 
 ### Bounty Based Collaboration
 

publish.css

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