hacker-laws VS data-making-guidelines

Also see https://github.com/dwmkerr/hacker-laws?tab=readme-ov-file#th...

Putt's law:

Technology is dominated by two types of people, those who understand what they do not manage and those who manage what they do not understand.

https://github.com/dwmkerr/hacker-laws#putts-law

The underlying reason for Putt's law is the finite space of the human cranium and finite hours in the day.

This is great, thank you!

For reference (and for other great laws): https://github.com/dwmkerr/hacker-laws#goodharts-law

Good compilation here https://github.com/dwmkerr/hacker-laws

https://github.com/dwmkerr/hacker-laws#cunninghams-law

Culture list from https://github.com/peterburk/sortlikes based on a manual categorisation of friends' liked Facebook pages, when trying to learn Mandarin while living in Taiwan a few years ago.

Unique to humans:

{ Art, Dance, Photography, Theatre, Banking, Business (Management), Causes (NGOs), Comedy, Cooking, Clothing, Driving, Movies, Music, News, Politics, Religion, Sport, Transport, Software, Hardware }

Shared with other species:

{ Accommodation, Children, Cleaning, Construction, Drinking, Education, Games, Health, International, Military, Pets }

Thank you for the correction to Assumption 1, that's helpful!

"The best way to get the right answer on the Internet is not to ask a question, it's to post the wrong answer."

https://github.com/dwmkerr/hacker-laws#cunninghams-law

If that is so, then is it possible to generate UV-C light with a wavelength of 100 nm?

SEEKING FREELANCER | Greater NY Area | Remote | Volunteer Stipend | Covid-19 Vaccine Related

Join a group of MDs, data junkies, and political gurus working on data-driven methods for managing equitable distribution of covid vaccine into some of the most vulnerable communities in the country.

YOU = AN ETL GOD :)

Looking specifically for journeyman-level expertise in building simple yet powerful DQ and ingestion pipelines. Data is a grab bag from sources like cdc, census, state immunization registries, community vulnerability indices, etc...

Approach we have in mind is heavily inspired by this:

https://github.com/datamade/data-making-guidelines/blob/mast...

We are also considering the possibility of making it a bit more easy to manage by using Airflow to keep track of the ongoing DAGs.

AND IF ETL ISN'T YOUR THING...

All of that said, if you're interested in working in data analysis tied to the distribution and management of vaccination opportunities but have different skill sets, I would love to hear from you.

Our work in this area continues to get visibility from leaders in the field and we have several publication-ready findings they could be directly applicable to any future mass vaccination challenges the world faces.

Contact info: