For people curious about the Roam API and confused by the syntax, or interested in why Conor went with Datomic/Datascript and not a traditional database, this older talk by Roam developer @mark_bastian is a great overview.

He gives great examples using Spiderman of how even modeling something fairly trivial in SQL is much more complex than in Datomic. But the real kicker is when you're trying to interrogate the data to find recursive relationships.
Right now the Roam data model (at least that's exposed to developers) is just about pages, blocks, and children with tags. Already you can see how finding the page containing a block with a certain tag etc is useful.https://t.co/jWJnuKu1RG
But imagine when attribute relationships are fully represented

You should be able to model the entire Spiderman story in Roam.
Page title: Peter Parker
Child of:: [[Richard Parker]] [[Mary Parker]]
Aliases:: [[Spidey]]

etc, and do these kind of queries.
"Show me quotes about operational efficiency in books by authors who used to be in the military"
"Show me companies in Boise, Idaho, founded by women, whose evaluation is lower than 10X ARR"
Of course, this data can also be used as input to timelines, graphs, etc:

"Show me a graph of my sleep quality versus days in which I ate foods that had gluten in them or not" (where [[bread]] has a page with ingredients::).
One thing I'm curious about is how the Datalog system differs from Wikidata and SparQL, the modeling seems to be kind of similar - you have triplets of entities, like :Oslo :is-a-capital-if :Norway (where all three entities have an id), and you can do graph queries.
So you can ask "Largest city with female mayors", but you can also visualize data in all kinds of ways, like dimensions of elements, children of Genghis Khan, or lighthouses in Norway https://t.co/XvxmEVO9vB
What would it look like to integrate Wikidata with Roam in the future, being able to easily pull in and reference data about entities (cities, authors, scientific concepts)... And build our own Wikidata through inter-Roaming... As well as citations (https://t.co/aP7RSyaGl0) ...

More from Tech

The 12 most important pieces of information and concepts I wish I knew about equity, as a software engineer.

A thread.

1. Equity is something Big Tech and high-growth companies award to software engineers at all levels. The more senior you are, the bigger the ratio can be:


2. Vesting, cliffs, refreshers, and sign-on clawbacks.

If you get awarded equity, you'll want to understand vesting and cliffs. A 1-year cliff is pretty common in most places that award equity.

Read more in this blog post I wrote:
https://t.co/WxQ9pQh2mY


3. Stock options / ESOPs.

The most common form of equity compensation at early-stage startups that are high-growth.

And there are *so* many pitfalls you'll want to be aware of. You need to do your research on this: I can't do justice in a tweet.

https://t.co/cudLn3ngqi


4. RSUs (Restricted Stock Units)

A common form of equity compensation for publicly traded companies and Big Tech. One of the easier types of equity to understand: https://t.co/a5xU1H9IHP

5. Double-trigger RSUs. Typically RSUs for pre-IPO companies. I got these at Uber.


6. ESPP: a (typically) amazing employee perk at publicly traded companies. There's always risk, but this plan can typically offer good upsides.

7. Phantom shares. An interesting setup similar to RSUs... but you don't own stocks. Not frequent, but e.g. Adyen goes with this plan.

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@NBA @StephenKissler @yhgrad 1. From Day 1, SARS-COV-2 was very well adapted to humans .....and transgenic hACE2 Mice


@NBA @StephenKissler @yhgrad 2. High Probability of serial passaging in Transgenic Mice expressing hACE2 in genesis of SARS-COV-2


@NBA @StephenKissler @yhgrad B.1.1.7 has an unusually large number of genetic changes, ... found to date in mouse-adapted SARS-CoV2 and is also seen in ferret infections.
https://t.co/9Z4oJmkcKj


@NBA @StephenKissler @yhgrad We adapted a clinical isolate of SARS-CoV-2 by serial passaging in the ... Thus, this mouse-adapted strain and associated challenge model should be ... (B) SARS-CoV-2 genomic RNA loads in mouse lung homogenates at P0 to P6.
https://t.co/I90OOCJg7o