The Future of the World’s Tiniest Billboards

Ben Lange, a business student at Samford, writes:

In January of this year, Apple made a big announcement. It wasn’t about a new iPhone. Apple announced that it will soon release an update to their software that allows users to choose whether they give permissions to apps such as Facebook to track their browsing history on other companies’ apps and websites.(WSJ) This has implications for data usage and availability in advertising. As technology has advanced, regulations surrounding exactly what a company is allowed to do with your data has  stayed relatively stagnant, especially for smartphones. Companies such as Facebook and Twitter are allowed to monitor your searches not only on their apps, but also on your phone browser and other apps.

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Can 5G Hurt You?

One of the many self-inflicted wounds on humanity right now is a fear of new vaccines that is somehow associated with fear of new 5G cell phone technology. This BBC story documents some really nutty stuff including a cell phone tower being attacked in Bolivia where there is not yet any 5G service.

I have my opinion of these people, but what’s the point of printing that? Let’s try to shed some light on what 5G actually is.

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Power Drill Versus Python 3.9

I wrote this Complaint on Wednesday:

Consider the power drill. I learned how to use one when I was a child. I have one today that I occasionally bring out for home repair projects. It works just the way it did when I was 8 years old, and I expect nothing to change. There is something nice about tools that function the way they worked the last time you pulled them out of the basement.

Consider programming a web app. Two years ago, I created a web app that I will refer to as Buchanan2. This week I wanted to create a new web app, called Buchanan3. I thought, if I’m lucky, I can use Buchanan2 code as a scaffold upon which to build Buchanan3 in a matter of hours.

To build Buchanan2, I used ToolA and ToolB and Python-based coding. When I opened up ToolA, I got a message that Old ToolA would be deleting next month, so I better upgrade to New ToolA. Ok. I upgraded, hoping it wouldn’t break Buchanan2. Then I opened up ToolB, and it was worse in the sense that more had changed. Also, Buchanan2 had been build using Old Python. New ToolA will not tolerate Old Python. I must figure out how to upgrade to New Python. I fear that Buchanan2 will break if I make all these changes.

While navigating all the changes and upgrades, I fight to stay on the free tier of ToolB, since I already pay for ToolA.

I spent hours searching through documentation. Maybe I could have worked faster. The flesh rebels against this labyrinth, as you would flee a room when the fire alarm sounds. Suddenly, I was on Twitter, and then I was in the kitchen getting snacks.

These situations make me very frustrated, but not hopeless. I have faith that if I bang my head against the desk enough times, and read one more message board reply, that Buchanan3 will work. It has to work. It will work, eventually. I hate New Python, and New ToolB, and anyone who would force me to learn new things all over again. Yet, in this fashion, I somehow got Buchanan2 to work, years ago.

I will keep at it, as a reluctant irritable self-taught programmer.

Today is Sunday. Since writing that, I have progressed and I feel much better. One thing that helped was getting on the lowest paid tier of Tool B and writing an email directly to the creator of Tool B. He wrote back quickly and helped me see my user error. If I’m lucky, Buchanan3 will be working within 2 weeks.

This situation reminds of research by David Deming and Kadeem Noray of Harvard. They find that recent STEM graduates make more money than their peers who picked softer subjects to study in college. Demin and Noray suggest that technical skills become obsolete in a matter of years and thus the wage premium for studying STEM in college declines over the first decade of working life.

My experience is just one anecdote, but there is no way that my college education a decade ago could have exactly prepared me for New Python, New ToolA and New ToolB. Those tools didn’t exist back then.

Retailer Support for Consumer to Consumer

I was not going to post about consumer-to-consumer markets again, but one of my favorite brands has just set up a re-sale site.

M.M. LaFleur is what would happen if I moved to New York City and started a fashion company along with clones of myself, knowing that my consumers are me as a corporate lawyer. I have bought a few pieces from them that I like and wear to work. Even though I don’t plan to buy from them again soon, I enjoy getting their promotional emails.

I’m not a cynic, not when it comes to M.M. LaFleur or re-using consumer goods. I like that they are giving people a chance to reduce waste by getting unwanted clothes to new users. What they are doing is also good business. M.M. LaFleur is making it easier to clear out your closet and offering to pay you in credits to buy new stuff from them.

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Business Analytics Textbook with R

There have been moments in my career as a data analytics instructor that I have considered writing my own textbook, just so I could have one that works. When I started in 2017, Samford University was one of the first schools to seriously reshape the undergraduate business school curriculum in response to the increase in demand for analytics skills. The pickings for appropriate textbooks were slim. Students in my class have already taken “business statistics”, which is a class I had to take as an undergraduate as well. I was trying to smash together business case studies, analytics that was more advanced than basic stats but also not beyond the undergrads, all while using a software program for applications.

I am pleased with what I see in my review copy of the new book by Saltz & Stanton Data Science for Business with R

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Data Landfill

This semester, the textbook I am using to teach data analytics is Business Intelligence by Sharda, Delen, and Turban. In Chapter 3, the authors describe how a data warehouse fits into a business enterprise. A data warehouse (DW) is more than a spreadsheet. It is more than a two-dimensional transactional database. A DW takes expertise to build and maintain. If done correctly, users within the company will be able to quickly access important data that they need to make decisions. Having a good DW is essential for any large enterprise today.

Near the end of the chapter, the authors list problems that are encountered when technologists go in to build a DW for an enterprise.

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In Defense of Austenland (2013)

Imagine you finish watching The Greatest Showman and immediately watch it all again. The sets are beautiful and the movie inspires you to believe in the American Dream again. Looking for someone who shares your joy, you google movie reviews. Up comes the NYT website and some reviewer has written, “I expected a movie about the circus to have clowns, but director Michael Gracey disappoints.” You would be upset and feel the need to set the internet record straight.

Today I write to defend female filmmaker Jerusha Hess and her delightful directorial debut Austenland (2013). I will not link to or quote the nasty NYT review.

Jerusha Hess is the brilliant writer of Napoleon Dynamite (2004). I loved Napoleon Dynamite so much that I used my screen printing assignment in high school art class to create custom shirts with references to the movie. If you don’t get Napoleon Dynamite, you really don’t get it. It is funny, and every visual feature is intentional.

Austenland is also funny. There are slapstick moments that made me laugh. I also enjoyed little details such as the recurring motif of characters holding fake animals. Ironically, one of the only real animals is a newborn horse foal, who ultimately turns out to be part of a lie. The fake things are real and the real things turn out to be fake. This film is meta. It has layers, like Shrek. It is only inside of the theatrical play within the theme park that the leading man expresses his true feelings.

On the surface, this film is a guilty pleasure romantic comedy. It does deliver on fantasy wish fulfillment, which I think it should. Impressively, it delivers on wish fulfillment while simultaneously delivering interesting commentary on fantasy versus reality.

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Emily Oster on Vaccines in February 2021

My third post on Covid data heroes features Dr. Emily Oster. Emily is a mom. Lot’s of economists are moms, but few have incorporated it quite as much into their careers. Emily has written a book on pregnancy and a new one on what to do with the kids after they are born. She does a great job explaining scientific research in a way that is easy to understand.

Emily made a big push to collect data on schools and covid back when there was crippling uncertainty about how dangerous it is to let children go to school in person.

She has a great email newsletter and substack. Her latest post is called “Vaccines & Transmission Redux Redux”. In this post, she distills the latest research to give practical advice on when kids can see grandparents once the vaccines are out.

For a long time now, some families have been avoiding close contact with elderly relatives. When can we go back to normal?

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