January 1, 2021.

Farm Updates :

The nimbooz continue to be amazing.

1/ new essay: What's next for marketplace startups? Reinventing the $10 trillion service economy, that's what. Co-authored with @ljin18 https://t.co/fgKbrHTnH5. A short thread 👇

2/ Marketplace startups have done incredibly well over the first few decades of the internet, reinventing the way we shop for goods, but have been less successful services. It's bc services are complex, subjective, fragmented, and often in real life. Makes it hard

3/ There's been 4 major eras at making the service economy work online. The Listings Era, the unbundled Craiglist era, the Uber for X era, and the Managed Marketplace era

4/ Each era has added more value than the last, and utilized technology innovations, from internet to social / "read/write web" to mobile. The "Unbundling Craigslist" era was particularly epic at generating startup ideas

5/ The problem is, all the low-hanging fruit has been picked off. The techniques that got us to here won't get us to the next phase. So we have to do some pretty different things. That's why "Managed Marketplaces" have been a big deal - hire folks as W-2s, certify quality, etc.

1. “Who Are Ireland’s Members Of The World Economic Forum Implementing The Great Reset In 2021 ? 🧵1/28

🕵️🔎 Politicians, Musicians, Clergy, Bankers, Journalists, Human Rights, Artificial Intelligence, Sustainability, Corporations & Agriculture

2. In previous threads I have looked at 🇮🇪 key players in the Trilateral Commission as well as 🇮🇪 people who have attended the Bilderberger meetings. I also looked at the 🇮🇪 in the Young Global Leaders which is a site run by the WEF. You will see a lot of crossover between them.

3. The purpose of this thread is to compile all the Irish members into one thread for ease of access and reading rather than having to dive through the WEF site. This is by no means definitive and I will be adding more over time when they pop out of the woodwork.

4. Ireland’s WEF members are drawn from all walks of life but can be split into 2 separate areas. The WEF calls the first category “people” and the 2nd one “agenda contributors”. In total Ireland has a minimum of 61 members. Some of the names will be familiar and others will not

5. In this thread I’m just going to concentrate on the 21 people (there are probably a lot more). There are also 40 “agenda contributors” which I will cover in a separate thread. The agenda contributors are those who write articles or do research for the WEF site.

TRUMP: "I've decided to eat babies."

PEOPLE: "He can't eat babies, that's super illegal."

TRUMP, on TV, eating babies, not even cooking them first: "People are saying that I really am the best baby-eater, folks."

NYT: "Trump Vs. Babies: The Rhetoric On Both Sides Must Stop"

Jeff Flake tweets: "It is a sad day in America when this callous man can eat babies live on TV"

Jeff Flake, 10 seconds later, votes to help him install a series of 4,000 new judges that are very, very pro-babyphagia.

Judge Kavanaugh, found drunk in a Capitol Hill closet: "I LIKE BEER. OKAY? I LIKE BEER AND I LIKE BABIES AND THAT'S NOT SO WRONG. THAT'S RIGHT. I LIKE BABIES DIPPED IN BEER. I JUST DIP EM. IN THE BEER. THE BABIES. THE BABIES I EAT. OKAY? THAT'S AMERICA."

Mike Pence, wringing his hands about the baby-eating: "We must take care of our children. Our youngest must be protected on this troubling day."

Mike Pence then invites a Baby Chef to say a prayer.

Twitter Users: "It's a distraction technique! Trump eating babies is trying to DISTRACT YOU from ALL THE OTHER HORRORS, which are themselves distractions from the BABY-EATING. It's DISTRACTIONS ALL THE WAY DOWN."

Trump: *eats tons of babies at a rally*

*literal tons of babies*

“Don’t leave the church because of the people who hurt you. Nobody is perfect, only God”

I’ll explain why this comment is not only not helpful at all, but also very harmful.

1/

The comment assumes we can’t tell the difference between people and toxic theology, it assumes our issues are with a few people who are outliers and misrepresented God, and we just seem to think that’s the totality of divinity. Which makes us appear unintelligent and petty.

2/

But, that’s not the case at all. I didn’t leave because a few people hurt me in the name of God, in fact I stayed long enough to get hurt again, and again, and again, and again. Because it’s not a few bad apples hurting people in the name of God what we are dealing with.

3/

Instead we are talking about systemic abuse due to toxic theology that is taught as righteousness.

Go to any white evangelical church today and conduct all the tests you must to ensure only those who are “good Christians,” remain. I guarantee you people will be harmed there.
4/

Not because people just hurt people, not because Christians have good intentions but sometimes make mistakes; instead because the harm is caused due to indoctrination into toxic theology and a belief that their social and theological framework is not only good,

5/

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.