China and Korea reflections

The six of us!

Introduction

For ten days in May 2019 I was transformed. Not an accidental or surprise transformation, but the result of an intentional effort to be transformed.  Of course we were thousands of miles away from home, but that was only a small part of the story.  Before leaving Oklahoma, I put on a telling out of office message on my work email – “I will have no access to email”. Work calls to my cell would go to voicemail and not be returned. Ten days would be the longest I have ever been apart from my wife since our marriage.  The apps that I normally use on my phone like reddit and yahoo finance would not be used. I was going to do life differently and see what came out on the other side.

This report details the results of my group trip and what I learned about business and culture in North Asia.

Expectations

One of the first things I learned happened before I left on the trip. For some reason I had believed (incorrectly) that a country’s economy could be grouped in developed and developing – only 2 classes.  There are in fact 3 classes – advanced, emerging (the BRICS countries), and developing. My expectation was that China would be poor and cheap and that is mostly what I experienced. My expectation for South Korea was that it would be rich and expensive and internet access there would be off-the-charts fast, but I found prices to be moderate, and the internet no better than the internet at home. In short, I saw little differences between the emerging economy of China and the advanced economy of South Korea. Of course, Beijing is not China (as stated eloquently by Alvin) and I would love to take 2-3 months to really see China. However, I can only write about what I experienced myself.

What follows is a chronological listing of the events I experienced and my thoughts about them.

Thursday May 16, 2019

I left home at about 3pm. My flight path for the day would take from OKC to LAX, and then from LAX to PEK. I decided I wanted to take a flight Thursday afternoon and get to Beijing Saturday morning, which means crossing the Pacific at night.  This is different than the conventional way to travel, which would be to leave first thing Friday morning and get to Beijing mid-afternoon on Saturday.  I figured the days abroad were precious and few, so stealing one additional day instead of letting it go to waste with travel would be the way to go. Fortunately, Kaydee Cunningham was with me on this logic so I had a travel-mate.

 

One of the fringe benefits of the whole experience was getting on a group text string with the other three PMBAers from my cohort – Kaydee, Ashley and Angela. From May through March we communicated nearly daily about our expectations and desires for the trip. As a guy that does not get that many social texts, what a thrill that was in itself.  Kaydee booked on the same flights with me. All four of us should have been on the same flights together, but I booked without confirming from the other 3. It turned out that Ashley had points to use on American and booked on American. Angela followed her lead. So instead of the four of us traveling together it was 2+2. Angela and Ashley would have followed me and all four of us would have traveled together if I was clearer in my communication and had the empathy to understand and serve the needs of this group.  This character flaw I came to see in myself would become a recurring theme for me – one that I really dove in to in South Korea.

 

We had a six-hour layover in LAX – as far as I’m concerned far too long to kill in an airport, so we rented a car and drove for some Mexican food (Sol Mexican Cocina).  I got to know Kaydee a bit better, ask her about her and Tyler’s OSU roots. We drove back by 10pm for a 1am flight.  LAX was so crowded. The drive from the Mexican place back to LAX was quick enough, but the shuttle bus from Hertz back to the terminal took an hour. Good thing we were planning on arrive at the airport 4 hours before the flight. That meant that the slow ride back to the airport was not stressful.   The flight ended up getting delayed to 3am anyways. As a side note, when I refilled gas for the rental car I paid $5.10/gallon. Yikes, the cost of living in California is high.

 

The flight ended up being very good. The airplanes for overnights from LAX to east Asia are not an every seat filled proposition, as are the flights during the daylight hours. Kaydee and I had three seats for the two of us.  Not first class, but not too shabby either.

 

Friday May 17, 2019

This day did not exist for me.  Technically I had three hours of this day as we waited in LAX till 3am for our flight to leave, but such is the reality of air travel across the Pacific. Two days to get there, almost no time lost coming home.

 

Saturday May 18, 2019

Kaydee and I arrived at the airport around 7am.  I always get window seats when I travel, and from the air I noticed a lot of blue roofs over Beijing.  I can’t say why those blue roofs are there.  The only other place I have seen so many blue roofs was Haiti, which I landed about 1 year after a major earthquake and there was still much temporary housing on the island.  These blue roofs looked different to me though – solid construction.  I’m still not sure what all the blue roofs represent.

My expectation was for the Beijing airport to be modern, clean, efficient- and it generally was. My preconceived notion is that infrastructure in the USA, especially around the east coast of the US, is dilapidated and old, where infrastructure in East and Southwest Asia is clean and modern. I’d say that held true here.  I was surprised we were forced to give our fingerprints (digitally, of course) upon arrival in Beijing or else there was no entry into the country. My first act at arriving in China was to pull out Google translate and give it a try. It labeled the first sign I came across to read “foreigners fingerprint buffet”.  Funny, but good enough for me to get the gist of what I needed to know.  I learned after arrival that a new airport in Beijing is under construction and will be opened later this year. If the current Beijing airport is the worst of the China airports that it needs to be replaced then China has hands down better airports than the US.

One app I had ready on my phone was Didi taxi.  There is no Uber in China as China promotes their own enterprises that have state backing. I used Didi to pick up a taxi and take it straight to the hotel. That worked flawlessly. No need to explain or translate anything for the driver – he took us straight to the hotel. As a bonus we got to drive by Tiananmen Square and the forbidden city along the way to the hotel. I could see, and snapped the picture of Chairman Mao.

Upon arrival into the hotel our rooms were not ready. That was not unexpected since we were so early. The hotel did hold our luggage and give us access to the spa where we were able to take showers after the long transpacific flights. The spa was first rate – large, clean, several hot tubs with hot water (even though no one was there but me). The pan-pacific Beijing was definitely a five-star hotel, and such a reasonable price. It was nice to see PPP work in my favor – very much the opposite of having lunch in Switzerland.   One of the things Kaydee and I wanted to do with our Saturday was ride bikes around the city. When I was last in Beijing (1978) there were very few cars – it was all bicycles. I am happy to say that even though there are many cars in Beijing I still saw many people on bikes. Perhaps older people, but the point is the bicycles have not gone completely away.  I’d say 90% of traffic is cars, but 10% is still bikes, based on what I saw. We were told by the concierge at the hotel to go to a place in southern Beijing named Fengtai to rent bikes.  After a 30-minute Didi ride we were dropped off in Fengtai and it was a dump.  We did not even try to rent bikes there, we just hopped another Didi and got out of there.  By the hotel I noticed many bikes for rent via iPhone app. There were many Mobikes all over the place which would have been perfect for Kaydee and I. Unfortunately, I could not rent them. I could download the app, but to add payment to the mobike required a mainland China bank account. I even tried later in the week to open an account at Bank of China, but I was denied (can’t open it on a tourist visa). So, no bicycles for us.  I would later learn a phrase from some of the other students at Tsinghua University: “TIC” which is an acronym for “This is China”.  You should not have the expectation of friction free life.

So after our bike debacle, we took a Didi back to Beihai park. We walked for about a mile and it was a decent diversion. I think we were trying to find a Chinese bustling market scene, but the park was fine.  We did notice some people dancing in the park.  For lunch we found a street restaurant. Kaydee did not care for her food, but mine was fine. I remember lunch and a beer was somewhere around $3-4 US. Nice!  We also made a few minutes to see the giant panda at the Beijing zoo. Cute! Checked that off the list and went back to the hotel to await the arrival of Angela and Ashley.

That evening Kaydee’s cousin recommended a restaurant named Dali Courtyard. That was my favorite meal of the whole trip. It was a restaurant in Dongcheng. Several things were memorable about the meal: First off, getting there – again Didi taxi took us to the area, but the restaurant was not on the main street. We had to go down the alleyway, past the walls of the Hutong and turn a corner. We are all doing this as we are blindly following directions on a phone. Amazingly it was correct! The meals there were fantastic – they just start brining you plates. Plates after plates and more plates.  It starts with light appetizers and builds to fish, and main courses.  You are outside on a patio under the moonlight. Candlelight, perfect temperatures, abundant and inexpensive well prepared food and the company of 5 PMBAers (myself, Alex, Angela, Ashely and Kaydee)  – what an experience! There must have been 20-30 courses during this meal. Amazingly, it would become a theme for Asia dining.

One other odd thing – I had no idea who my roommate was going to be – but the night came and went with me alone in the room.  I have never had a roommate in my adult life. The last time I had a roommate that was not my immediate family I was 12 years old in summer camp. I was very apprehensive about the whole roommate thing, but I guess if you are going to be a student you get the full student experience J.  Only later would I understand the struggles Adam was going through to get to China.  Takeaway – If you are going to take the nonstop from DFW to East Asia, just drive to DFW. Don’t bother with the flight from OKC to DFW. It just is not worth it.   Really though, I like what I ended up doing. Nonstop from OKC to LAX, a six hour layover in LAX (you want to give yourself time for airline delays), and then a nonstop from LAX. I think that is the best way to go.

 

 

Sunday May 19, 2019

The morning of May 19 I woke up early – probably 4am.  In general, when I travel I don’t sleep much, and this trip was full of adrenaline.  Each day of this trip I only slept ~4 hours per night.  I got out of the room and walked to the subway. The subway was clean and empty this time of the morning. I also walked by the local schools and the local 7-11 equivalents. I tried some bizarre boiling seafood at one of the 7-11s. At least I think it was seafood. I only ate one ball and disposed of the other 2 balls on the stick. Since I had not had a hepatitis shot I did not want to get sick on day 1, but in general I don’t feel I have a weak stomach.   The local food looked too much like home food at 7-11s – Doritos, Pringles, etc.   I walked back to the hotel and hot ready for our group trip to the Summer Palace and the Great Wall.

 

At the Summer Palace I was taken with the architecture. Especially the roofs, which have this beam and post construction.  Where the beams support the rafters, the beams are sloped – not straight.  This was common in Korea and Japan as well. I found it pretty, and the amount of detail artwork that went on and on in the palace was impressive.  Many of the tourists I noticed were Chinese – I imagine Chinese from other parts of China.  My expectation is that 20 years ago the tourists were mostly foreign, but that was not the case anyone.

 

I was also very happy with the amount of English on signs at public places. One that caught my eye was at the exit of the palace – written in English – complaint department phone number.  Can you imagine us putting a sign in Mandarin next to Abe Lincoln’s memorial that says “If you have complaints with our memorial, please contact this number and we’ll be happy to help” Of course not!  The culture of service in Asia is remarkable.

 

 

 

Next we went to the Great Wall.  On driving to the Great Wall I paid attention to see what the road (infrastructure in general) was like. One thing that caught my eye was a massive elevated road under construction that ran parallel to the existing highway.  Even though their existing roads are not terribly crowded, I can tell the Chinese government is making investments in new infrastructure. When is the last time we had new Interstates?  Or even an expansion of, say, I-35? Leave the current road in place and build a new 6 lane highway parallel to it that runs from Norman to Dallas – leave the 70 MPH speed limit on the old road, force 18 wheelers to use that road only, and design a new road that can handle 120 MPH speeds safely.   That kind of investment in infrastructure in the USA would pay long term dividends for our country down the road, but it seems like we don’t have the leadership with vision anymore like we did in the 1950s.

 

 

I found the Great Wall to be a thrill. It was so uneven and up and down, I cannot imagine how horses rode on the wall.  At a couple places I needed to get on all fours to go up and down the wall.  I was determined that I would walk all the way to the end and back, which I did. I’m not quite in the shape of the twenty year old people on the trip, but I’m not bad either.

 

 

Monday May 20, 2019

The first corporate visits were to be later today. I got out of my room about 6am and walked around. I saw the kids entering their school (“The experimental highschool (sic) attached to Beijing normal university”).  All the kids had on school uniforms. I also noticed the younger kids (elementary age) also had on uniforms.

 

Visit 1: Tron Space

The first corporate visit was to Tron Space – a company incubator in Beijing. It struck me that this was very similar to what I would see for technology incubation spaces in the US – shared, common high-tech companies.  First Dr. Jessica Hao (from the school of Economics at Tsinghua University) explained how there was $20B USD in venture capital available to the companies in the area. Then, our presenter was Mason from NavInfo – a mapping company with 4,000 employees in China. Their story sounded like any capitalist story back home – a Toyota partnership started in 2002, a listing on the Shenzhen exchange in 2010.  One thing I found interesting was the State-owned enterprise facet of the company – another company called China Survey owned 10% of NavInfo. I asked a question about what the Government of China intends to do with that stake (sell it, etc.), and the answer was no- that is just a part of doing business in China. You just have a long-term government partner / ownership. Tencent owns 10% of NavInfo – and it is common that Tencent and Alibaba are the early series funding for their high-tech IPO industry.  So for NavInfo:

  • Tencent owns 10%
  • China Government (China Survey SOE) owns 10%
  • Management of NavInfo owns 10%
  • Public Investors own 70%

That structure is not unlike capitalism back in the US, with the obvious exception of the 10% government stake, but considering how nationalized our banks and auto industry became in 2009 I guess it is not the different either. I digress.

 

Mason did mention that 30,000,000 new cars were sold in China in 2018 and for 2019 he expected that number to drop – not to slow the pace of growth, but an actual drop.  I asked if we should infer from that drop that the Chinese economy is growing much less than the 6% currently believed, and he said no – it’s about making strides against pollution.  I guess we were lucky, there was a big rain shower the previous night and I had no problems with pollution in the air. Angela got us masks to wear like 10% of the Asians do (they wore these masks in Korea and Japan as well. Heck, one person danced in a club in Seoul with a designer mask on), but we never needed to wear it – only for fun.   Still, I’m not 100% sure I believe him when he showed no fear for the Chinese economy. I could sense they are all very nervous about the trade tensions. Mason did mention that 54,000 cars sold each year are EVs, and if you want an EV you can get one right away, where if you want a conventional car there is a 3 year wait for the license. That’s definitely not capitalism, but I’ll give them a pass due to their pollution problem. I give them credit for getting serious about their problem and owning it.   Mason himself did not own a car, instead he had a driver. Why bother owning a car when you can have a driver instead?

 

My final note from NavInfo was “Data and Algorithms <- that’s what it’s all about”. And I can guarantee that exactly what it’s all about for similar companies back in the US. Indeed, I found many more similarities between businesses operating in China vs the US than differences.

 

 

Visit 2: Tsinghua University

The second corporate visit was to Tsinghua University. Hao Chen gave us a fantastic overview of culture and China. I take away a couple points from her (fantastic) talk – like China has 829 million Internet users as of 2018, so still another 400 million people are left to connect – which means to me there is still room for growth in China. But what I remember there was #1 getting coffee with Emma and #2 the University tour.

 

For coffee, during a break in the lecture we tried to go with the students from the other visiting university to a Luckin coffee around the corner.  Luckin was interesting. You could not order at the counter. You could only order using an app.  You could not pay in cash, you had to pay via app.  Of course, since Alipay and WeChat pay require a mainland China bank account – I could not order coffee. That’s when I learned the phrase “TIC” from the other students that I discussed previously.  I saw so few people in the store, but so many coffees on the table – all internet app orders.  The barista at the counter took pity on me based on my google translate skills and handed me their phone which I gave to Emma to figure out how to order her latte and my Americano with an all-Chinese app. Well, she figured it out, I payed the barista yuan cash I had with me and the two of us brought our coffee treasure to the class.

 

For the university tour it came out that tuition there was peanuts – something like $800USD per year.

 

One other bonus at Tsinghua – they had Eduroam configured and I was able to get on their WiFi using my OU credentials. How cool is that!  In fact I looked at many place to see what the WiFi provider was and it was Cisco access points in almost all locations, the only place I saw Huawei was at the Beijing capital airport.  Other than that all buildings had Cisco infrastructure. I find that fascinating and amazing.

 

That night we went to the pants building for dinner – and my Asia drinking was officially on. I’ll bet in the past year I have had a total of 5-6 alcoholic drinks, but each night, especially in South Korea I had 5-6 drinks per night! I loved every minute of it!!

 

 

That night was the series finale of Game of Thrones – I remember watching it from 1am to 2am in the room with Alex, Angela and Nic. What a bunch of fun nerds we were!

 

 

 

Tuesday May 21, 2019

I don’t think I slept at all this night. I may have lied in my bed, but too much adrenaline. It was too weird with a roommate next to me (Adam finally got in from his marathon journey). I think I showered and left by 4 or 5am. I told Adam that I would see the great wall with him because he should not see it alone, but as it worked out I did not go with him (that would have made him uncomfortable, which I totally get).  Instead I woke up early in the morning (I actually never slept) and decided I would find the Cisco office in Beijing and call home with telepresence.  I had to be back at 8:20 for our ride to GE Healthcare, and I left the hotel by 4:30am. I took at DiDi to a place I thought was Cisco. It was not, but the guard there went out of his way to help me into any part of the office building I wanted to get into. Again, very surprising and a different culture than the US.   I realized I was in the wrong building and took another Didi to the correct building, and my id let me in. I had the telepresence and I found it no different than doing telepresence from Kansas City to OKC. The speeds were fast and natural. The office culture at Cisco Beijing looked very much like the culture at Cisco USA, based on the design of the building, the free snacks, the telepresence rooms, the audio privacy rooms, etc.  I hung up with my family at 7:20am and had to get back to the hotel by 8:20. It was only 5 miles away, but I learned something that morning – Beijing traffic does not move at rush hour! My Didi driver explained to me that if I needed to hurry I should take the subway, so he dropped me off halfway through my ride and I took the subway and ran from Xian station back to the hotel, with just minutes to spare I made the bus. It’s amazing what I feel I can do with the technology in my hand in the form of a phone – mapping, translation, subway navigation. I feel like a superhero in a foreign country with it. Take it away and I’m a lost idiot.

 

 

Visit 3: GE Healthcare in China

I took back a handful of things from this visit. GE Healthcare had a similar ownership structure to NavInfo, where there was a SOE that was part owner in the enterprise.  The visit confirmed for me the growth area that China is. ~3,600 urban hospitals (which can be considered developed), but an additional ~80,000 rural hospitals (which are developing). The rural hospitals deal with lack of electricity and clean water as issues, very 3rd world problems. The growth GE Healthcare has in China has been ~15% per year, where similar products in the US at ~1% per year.

 

I did hear from Joy (runs supply chain management at GE Healthcare China) that they are shifting some of supply chain to the US due to the trade war. My takeaway on that is that the Trump tariffs are working, even though I understand the policy is hated. I feel it is hard for Americans to separate the policy of Trump from the person of Trump.  I feel overseas they don’t like Trump, but they respect him as a US leader, and hope they would have a leader that fights for their country like they perceive Trump fighting for his.

 

Another takeaway from GE Healthcare that took our breath away was the term 5/10/7 – meaning working hours of 5am to 10pm, 7 days a week.  That equates to 119 hours/week.  Their culture is engrossed in “work” in a way we can’t comprehend.  Of course, their work includes meals and events and activities, but setting a standard that high is insane. I get it that companies can get this kind of culture because if someone slacks off there are 30 people on the street to replace that person, but still this expectation is staggering.

 

A nugget I picked up at GE Healthcare came at the end of the meeting. We were extolled: “You know how me work. Now, learn how we think. Go to a church.” That was my favorite line from all of Asia.  I never did go to a full church service, but that is definitely something I would do during a future extended visit to Asia.

 

Visit 4: Goldwind

Before getting to Goldwind we had some time to kill and the bus dropped us off at some non-descript mall in south Beijing. Something near the Guorui Group Ronghua World Hotel. This place shocked me. It looked bigger than citycenter in Las Vegas, but it was just some other area in China.  I’m thinking if this place was in the US everyone would know about it. It is amazing to me the growth and development in China.

 

Goldwind I took no notes on. I found the exercise room and greenhouse interesting, but it just means the management of Goldwind likes these activities, nothing special.  I find it odd that in China basketball is such a popular sport, but we know nothing of their local leagues. In fact, our guides favorite team was the Miami Heat.  How all these Chinese people prefer US basketball where the games are played in the middle of the night their time and teams that they can never possibly hope to see in person – it baffles me.

 

 

Farewell dinner / I think no staying out that night.

 

Tuesday May 22, 2019

This morning we saw Tiananmen Square and the forbidden city before leaving the country. There was such a long line of people to see Mao’s mausoleum. I would have absolutely loved to see that, and also see the sunrise flag ceremony, but I guess that a reason for me to come back.  I was fascinated with the line of Chinese that come to see Mao’s body. The line was thousands of people long.

 

The forbidden city evoked incredible emotion in me. I had been there before, when I was 8 years old with my parents. It seemed all weird and wrong to be there without my family.  Emma took great pictures of me with her nice camera.

 

One thing that is fascinating about the Forbidden city is the stone carvings. There are beautiful, ornate stone carvings all around with what once was detailed artwork, but the acid rain has melted these carvings. I understand why the Chinese are sensitive to pollution.

 

 

 

On to South Korea

I loved South Korea. By this time the group was bonding well, and our partying was fun! The lights and street scene in Myeongdong were wonderful. Something had changed in me by this point. I was determined to be different in South Korea. I felt I was too much like “rain-man”. I wanted to be natural, less aggressive. I was determined I would keep quiet and let others talk during the company visits.

 

 

Wednesday May 23, 2019

 

Visit 5:  DreamPlus

The obvious comparison is between DreamPlus in Korea to Tron Space in China. Again, more similarities than differences. My takeaways from the DreamPlus visit were:

  • Lots of people in shared office space – I saw no one working in private offices. I take this to be the Asian culture.
  • The person on the 3rd floor next to the library was literally asleep in a chair facing the window. I am surprised that is culturally accepted at work in Asia. As strange as it is to say, that could be culturally accepted in the US, so again, more similarities than differences.
  • The access points in the DreamPlus space were also Cisco Systems. It is very encouraging to see our global presence. WiFi is very important and I would argue part of a society’s culture, so again more similarities than differences.

I also learned at DreamPlus that Christianity is a very popular Korean religion – the estimate from our host was 25% Christians, 20% Buddhist for Korea.

 

I loved the basement of the DreamPlus space and that showed the influence of Steve Jobs. The quote in pink neon of “Stay foolish, stay hungry” – even in a basement of Seoul.

 

 

 

 

 

 

 

 

Visit 6:  PNG corporation

PNG was an eagerly anticipated visit for me. The reason is one of my very good friends in Norman is Scott Shuler who is president of Top of the World caps. I have known both Scott and his business partner Pete Wilson for 10+ years, and I know their partner in manufacturing in Asia is Harold Koh.

 

Initially, the things I took away from PNG were more numbers and facts instead of culture. In particular:

  • PNG Vietnam produces approximately 1,000,000 hats per month
  • PNG Vietnam employs approximately 1,300 workers
  • The PNG embroidery machines run 24 hours per day.

 

  • This is a labor-intensive business
  • Each embroidery machine (imported from Japan) costs $100,000
  • They have 100 embroidery machines on the floor

 

Basic math tells me that if the margin on hats is $5 that’s $5,000,000 per month for 1,300 workers, or an average of $3,800 per month per worker.  I learned all 1,300 workers cycle between all 3 shifts (no one person gets only the day shift and no one person gets only the night shift). This is different than American culture where a person would only work the day shift as a full-time job, but get paid less than a person who only works the night shift exclusively.   You can see here the culture of shared labor fairness in Asia.

 

At $100,000 x 100 = $10M in capital tied up on the floor. The carrying costs for $10M at 10% and 10 years ~= $150k per month, so that is fairly low in comparison to the labor costs per month.   So, it would seem to me that running 3 shifts 24 hours is more of a culture decision, not a capital decision.

Harold did lament that manufacturing wholesale prices have risen only 5-7% in 29 years, even though expenses have increased more than that, so his business has gotten squeezed over the years. He sees an oversupply situation.  He would like to move the business from college licensed headwear (where there is more competition) to corporate brands (such as Dickies) where there are lower minimum requirements.

 

 

Things I learned at PNG:

One takeaway I had from the canned PNG briefing and the PNG presenter is I could tell how they were trying to impress on us their social conscious labor practices. They mentioned it several times. I would have no reason to assume they were anything other than above board with their labor policies and people; I found it interesting they wanted to bring that conversation up.

 

After the first couple of Q&A (directed to the presenter) I asked a question for Harold. After that, all Q&A were directed to Harold. We wanted to talk to the founder, not a corporate spokesman!

 

I also find it neat that Harold and Pete met and formed their partnership at a trade show. For as much as we complain about trade show floors and the drudgery of it, the reality is that’s how and where transformational business happens.

 

Adam asked a question to Harold on what his management philosophy was. Harold responded with that he wants to impart western philosophy into his east Asia business.  The irony is palpable: we are going there learn Eastern philosophies, but he is trying to get our philosophy.  The world has indeed become a very small place.   His particular B-School philosophy boiled down to 3 components:

  1. Pick a target
  2. Narrow the focus on that target
  3. Dominate the market

 

 

That night was a fun night from a drinking / clubbing point of view. We even finished the night at a karaoke bar. Fun thrill!

 

 

 

Thursday May 24, 2019

 

Visit 7:  Taihan Textiles

I very much enjoyed the Taihan factory tour. I cannot imagine going to Asia on a business school trip without any factory tours, so I am very glad we got this one in.  At Taihan I learned there is a $10 / hour minimum wage in Korea and that 52 hours per week is the normal working hours.  $10/ hour is obviously more than labor in China, and I heard they were viewing the trade tensions as an opportunity for them to compete with China better, and take business from China. Again, another perception of mine that the trade tariffs may be good and right for the US right now.

 

My goal going into Taihan was to simply sit down and be silent.  I did not want to be dominating the conversation. That is annoying to all. I don’t want to be that person.

By this time, I had become hyper sensitive to changing who I was at these meetings.  I started to note my failures. I came out of the meeting with the following scorecard:

 

 

I know these seem silly to others, but I see these all as significant failures that I want to address in my life going forward.

 

 

 

 

Visit 8: Korean Embassy

 

Here I wrote down every question asked and who asked it.  I found out I love doing that! It helps me understand the people around me and what their care about are (empathy) and it prevents my mind from asking excessive, stupid questions.  That’s a practice I want to consciously continue next year in my MBA classes.

 

I went in with a challenge to myself of not asking any questions. Of course I failed, but my scorecard was cleaner:

 

 

We heard from Bo Miller (a career foreign service officer) and Cameron Jones (the North Korea economy expert for the US). I very much liked the style of Cameron Jones. Very thoughtful, thorough and respectful to the audience. He was our groups favorite speaker.

 

Angela asked a question about the North Korean defector that Trump introduced at the 2017 State of the Union. It lit up Cameron’s face and drew a passionate response from Cameron as he stated that that person had been in this very room. I could tell Cameron was lighting up for an audience that gets it and is worthy of his time and energy. I totally love Angela as a leader and I would be happy to follow her anywhere. I respect her mind and her abilities.

 

Seth asked a question about how to get contacts at the department of commerce and US-China trade tensions.

 

Adam asked a question on the culture of business in Korea. I found Adam’s questions very insightful – he was very intentional bout applying the lens of what can the US learn from East Asia, not just in what people do but in how people think (and should think).

 

Dr. Shaffer asked a question on economic vs political defection from N to S Korea

 

I asked a question on groupthink – having had the same N Korea policy for so long without real knowledge of what happens there.  I got the 1 failure tick for that question.

 

Angela asked another question about Reunification vs Denuclearization.  Cameron made it clear policy one of the US is denuclearization. He also gave insights the old South Koreans are for reunification, but the young South Koreans are against it. They don’t feel they should have to pay for the previous generation’s mistakes.

 

 

That night we went back out to go drinking, but I turned in early. Couldn’t do the last full night. I took 3 of the undergrads back with me and bought them ice creams at McDonalds while the older PMBAs went back to the same club from before.  There Angela met a couple guys who said they were with Trumps security detail and Trump had been at the JSA DMZ the previous day and that’s why we could not do that tour on that day.

 

 

 

 

 

 

Friday May 25, 2019

 

Korean DMZ

Trump in S Korea and Tokyo at same time

 

 

Saturday May 26, 2019

 

Japan

 

 

This is where my reflection ends.  I met Shelli at the Tokyo Haneda airport, and at that time this trip transformed from a group activity to a couple’s trip. I did not anticipate that happening, but I get it. You can’t force friendships.  I enjoyed Japan, but not in the same way I enjoyed China and South Korea.

 

In Japan I did love the hotels Dr Shaffer put together – staying in the bright lights of Shinjuku was excellent. Being in Kyoto at the Torri gates and Steve Jobs’ favorite temples was fantastic.

 

 

 

Final thoughts:

I did this trip at 48 years old. I realize this is a trip more for 21-year-old kids, but I loved it. I appreciate Emily Kuenzi telling me that this trip was for me and it was OK for me to be there.  I get that doing something different does invite the questioning of motives and character from others, but I can’t worry about others.  I really appreciate the PMBA school making this trip available and I sincerely hope in the future enough PMBAers in their 30s and 40s will come along to make this a PMBA only trip. But honestly, I loved doing this with undergraduates. As a dad to a 20-year-old kid at OU now I felt that I could relate with the undergrads better than the 35-year-old PMBAers.  I took full advantage of this in South Korea when I asked AJ and Jake to dance to “I’m squidward” in front of a squid tank.  I am sure the 35-year-olds could not get the reference, but I loved what Jake said to me “that hit me deep”. I know it seems silly, but I love that I can relate in a way the others could not.

 

One other thing I enjoyed was the fact that, speaking broadly, the PMBAers could spend money. As people with full-time careers, we had resources the undergrads do not have, and it was fantastic to spend it forward. I enjoyed Angela and I buying all drinks and food for all the undergrads at the Korean BBQ. I think it was $100 for each of us. No big deal to us, but a big deal to the undergrads J.   When I think about it another way, I often look at my IRA balance and it is not uncommon for it to fluctuate by thousands or tens of thousands of dollars on a daily basis. So, while this trip was expensive, it was only expensive if viewed in the lens where I want it to be expensive. We are so fortunate here in the US and I see it when I travel.

 

On a non-Asia culture note, I was also struck with the difference in maturity levels and personalities from the undergrads. Take Riley – incredibly smart, 35 ACT, national merit scholar, moving to Dallas for Bain capital (L – I swear we export almost all of our good talent to Texas) and on the other side AJ – who may be brilliant, but all I can picture is his head engrossed in his phone reading science fiction even at the corporate meetings and farewell dinner. How bizarre to me!  Unfortunately, my son is a friend of AJ and not Riley. But that’s OK – he has a good head on his shoulders and I believe he will find his place in life and contribute to society just fine.

 

 

 

I am very hopeful I get to do a trip like this again, or at least doing meaningful activities with the others in my cohort down the road. I respect these people at a business and intellectual level, and that is something special for me.

 

Till next time! 건배 – Ganbei!!!

 

 

 

 

 

2019 OKC Marathon in the books!

The 2019 OKC Marathon is in the books. This year Shelli, Austin and I all did the half-marathon. Results are back, and here is how I stacked up:

2 hours and 18 minutes to run 13.1 miles for an average pace of 10:33.  My goal at the beginning of the year was to run in under 2 hours — well, that was just not going to happen.  As much as I wanted to I couldn’t commit to the training needed to make it happen.  Still, I’m happy with 10:33. I placed right in the middle for my division – place 156 out of 310 total runners male 45-49.

Since I’m into statistics now, I also calculated my Z score to see how I did against a normal distribution. The average finish pace for my division was 10:59 with a standard deviation of 2:28. That puts me at a Z-score of -0.18, which has a 1-probability of 57% . (In other words, I placed in the 57th percentile for my division).   Not bad!

 

Here are the top, 50% and bottom finishers in my division:

 

 

 

 

Never enough… red skittles

Red skittles are scarce. At least that’s always been my impression every time I open a mini pack we get as halloween candy. Too many yellows, too many greens. Never enough reds.  Possiblywrong recently published some data on 468 packs of skittles looking for duplicate packs. I wanted to use his research data to answer a different question: Are red skittles scarce compared to the other colors?

Using his data and the statistical analysis tools given to me by my MBA professor (Robert Dauffenbach) we can answer this question.  First the raw data- in 468 packs of skittles there were 5583 reds, 5499 oranges, 5688 yellows, 5301 greens, and 5669 purples.  Averaged out it is real close to 12 skittles of each color in a pack.

Close to uniform, but not exactly uniform.  Let’s analyze this further:

From his raw data the standard deviations of number of candies by color is about 3.2.  Here is the compiled data:

 

So, true population averages appear to be 12 candies of each color with a standard deviation of 3.2 per color (in one bag). Now the central limit theorem will help us here- even though the underlying distribution is uniform, a distribution of sample averages will be normal, assuming n is sufficiently large, and n=468 definitely satisfies this requirement (n>=30 is probably all we need to get from uniform parent to normal sampled means).   Now if we make the assumption that the population means and standard deviations are 12 and 3.25 respectively, we can answer the question if the difference in Yellows (12.15) to Reds (11.93) is statistically significant.  The standard error of the mean is the standard deviation over the square root of the number of samples = 3.25/sqrt(468) = 0.15.   That means if we have have 12.15 yellows, that’s one standard error of the mean from 12, a result we should find 68% of the time.  In other words not statistically significant.   (Busted — yellows are not more common).  Reds with a z-score of -0.47 are also within 1 standard deviation of the standard error of the mean meaning reds are plentiful — they are not held back, regardless of what I think.

However, the data does point to one outlier — greens. At an average of 11.33 that is -4.52 standard deviations below what’s expected.  The probability associated with a z-score of -4.5 is about 1/100,000 — meaning if it was a daily possibility you expect to find it 1 day in 275 years.  That is statistically significant and the null hypothesis that greens are filled at 12 per pack is rejected.  The alternative hypothesis is accepted, and that implication is that skittles intentionally under-fills green in order to keep packs at 59 per pack and not at 60.

Who would have thunk it? Greens!!

 

Book Review: Get in the Boat

Recently I finished reading the book Get in the Boat, by Pat Bodin.

The point of this book is that technical people are not in the boat with corporate leaders, because they speak a different language and have different priorities and risks.

Well, that’s nothing new.

However, the part of this book I found particularly enlightening was the treatment between technologists and IT.  That hit me like a 2×4 square to the jaw.  I got into this field 20+ years ago because coming out of college I saw with wonder the way Cisco Systems was connecting and changing the world. It was clear to me, even back in 1992, that people in the wake of Cisco Systems were the movers and shakers of the world, and only good things came from being associated with this company of strength. At that point in time central IT did not exist, not like today anyways, and central IT was being elevated — from a cost center to a strategic focus for the business. Very relevant.  Somewhere along the way IT became a burden — divorced from the leading-edge technology that changes business for the better and gives each business who properly digests technology a competitive advantage against their peers and now married into a me-too table-stakes of basic uptime and SLA fulfillment.

For example, I know a VP at a leading higher education institution who has a main job of approval of emails that have to go out campus wide.   Think about that for a minute- when did IT go from creating a project where a person in London could color-match a car manufactured in Berlin to  bureaucratic email approver?  And this is a vice-president.  Makes you wonder how relevant the lowlife IT individual contributor is to the president of the University?

The book does a great job of understanding value-chaining: How can your actions at the Red level impact Blue, and impact Green.  Don’t understand those colors? Read the book! It reinforces the basic message we already know inside – You are not relevant because of what you do, but because of how you affect other people.

When you talk to green about “technologists” they equate that word with blue people – lines of business who practice “shadow IT”.  When you talk to Red about “technologists”, they will think IT.  Big mistake.  Even the way we as IT talk about Blue people is in a way to delegitimize and dirty them (again, shadow IT).  We have to be those Blue people, not bash them!

For anyone who has read the Phoenix Project, this book is a great 2.0 read to that book. A lot of the principles and messaging connect.

This is a fantastic read for anyone who works in my field of technology, especially those who work or sell into information technology.

In my line of work (Higher Education) – we may have 5,000 full time equivalents in an organization.  Of those, Id say Red is about 200 (IT people), Blue is 4,795 (faculty / staff) and Green is about 5 people.  5 People that’s all. A lot of titles like VP of applications may seem to the untrained eye to be Green, but they are blue.  A teacher who is leading edge and consumes technology in her classroom in a way years ahead of her peers and gets better grades for students – Blue, not Red.    I think of Red as lone-wolves in centralized IT. Period.

Get in the Boat is available on Amazon for $17.95.

 

 

 

 

 

Cisco GSX 2018

Cisco GSX (our annual sales meeting) was, as always, an outstanding experience! There was one line spoken on the main stage that got the largest applause I have seen in years – and deservedly so. Gerri Elliott (Cisco’s new sales and marketing boss, and also my boss’s boss’s boss’s boss’s boss’s boss’s boss :/ – wish I was closer to the top! ) pointed out to Chuck Robbins on stage that this meeting marked his 3-year anniversary as Cisco CEO and in that time, Cisco stock price is up… 82%!   That brought the house down, as it should.

82% seemed incredible to me when I heard it. I know the price has risen – but wow, a near doubling? That means under Chuck’s leadership Cisco has added $90B of market cap.  I know that’s small compared to the top 5 stocks, but it is an amazing amount of money in its own right. John Chambers, when he became CEO in 1995 had a $5B company, and left it 20 years later at $130B — $125B of market cap in 20 years.  Chuck has done $90B in just 3 years.

So, how it is possible that Cisco stock has risen so much in 3 years?  From a sales point of view we have not materially grown sales at all in the last 5 years, not even at the rate of inflation, even with new acquisitions.  Here are the numbers for the last 10 years of Cisco earnings:

Quarter Ending revenue ($m) net income ($m) dividends paid Shares outstanding (billions) stock price on Q end market cap ($B)
7/28/18 12,840 3,800 0.33 4.7 47.15 221.605
4/28/18 12,463 2,691 0.33 4.8 42.7 204.96
1/27/18 11,887 2,322 0.29 4.9 44.78 219.422
10/28/17 12,136 2,394 0.29 5 35.88 179.4
7/29/17 12,133 2,424 0.29 5 32.21 161.05
4/29/17 11,940 2,515 0.29 5 31.53 157.65
1/28/17
11,580 2,348 0.26 5 34.18 170.9
10/29/16 12,352 2,322 0.26 5 29.82 149.1
7/30/16 12,638 2,813 0.26 5 31.44 157.2
4/30/16 12,000 2,349 0.26 5 29.05 145.25
1/23/16 11,927 3,147 0.21 5.1 26.18 133.518
10/24/15 12,682 2,430 0.21 5.1 27.25 138.975
7/25/15 12,843 2,319 0.21 5.1 25.88 131.988
4/25/15 12,137 2,437 0.21 5.1 28.83 147.033
1/24/15 11,936 2,397 0.19 5.1 29.51 150.501
10/25/14 12,245 1,828 0.19 5.1 27.64 140.964
7/26/14 12,357 2,247 0.19 5.1 24.99 127.449
4/26/14 11,545 2,181 0.19 5.1 24.62 125.562
1/25/14 11,155 1,429 0.17 5.3 21.8 115.54
10/26/13
12,085 1,996 0.17 5.4 21.25 114.75
7/27/13 12,417 2,270 0.17 5.4 23.31 125.874
4/27/13 12,216 2,478 0.17 5.3 24.12 127.836
1/26/13 12,098 3,143 0.14 5.3 20.86 110.558
10/27/12 11,876 2,092 0.14 5.3 18.91 100.223
7/28/12 11,690 1,917 0.08 5.3 19.08 101.124
4/28/12 11,588 2,165 0.08 5.4 16.33 88.182
1/28/12 11,527 2,182 0.06 5.4 19.88 107.352
10/29/11 11,256 1,777 0.06 5.4 18.64 100.656
7/30/11 11,195 1,232 0.06 5.5 15.67 86.185
4/30/11 10,866 1,807 0.06 5.5 16.8 92.4
1/29/11 10,407 1,521 0 5.5 18.56 102.08
10/30/10 10,750 1,930 0 5.6 19.16 107.296
7/31/10 10,836 1,935 0 5.7 19.99 113.943
5/1/10 10,368 2,192 0 5.7 23.16 132.012
1/23/10 9,815 1,853 0 5.7 24.33 138.681
10/24/09 9,021 1,787 0 5.8 23.4 135.72
7/25/09 8,535 1,081 0 5.8 21.6 125.28
4/25/09 8,162 1,348 0 5.8 18.5 107.3
1/24/09 9,089 1,504 0 5.8 14.57 84.506

 

What you should take away from the above table:

  1. Revenue per quarter now ($12.3B over FY18) is identical to revenue per quarter in FY15 (also $12.3B).

commentary: Even with a paltry 2% inflation over 3 years that $12.3B should have grown to $13B.  On top of that, Cisco has acquired 25 companies over the last 3 years. That alone should add another $500M of revenue.  So at 0% real growth, Cisco revenue for FY18 should have been $13.5B, but it was not — only $12.3B — in real terms that’s a contraction of 9%.  Yuck!

commentary 2: In Q2 of FY18 Cisco actually reported a net loss of $8.8B — we took a one time charge associated with repatriating overseas capital for $11.1B.  I have not added in that $11.1B into the table above, otherwise the P/Es would be negative.

So based on #1 alone, Cisco’s stock price should have gone down 10% in the last 3 years, not up 82%.   Let’s move on…

 

2. Net Income per year is up slightly in three years, maybe. Take the above table and compute yearly numbers. Here are the year over year numbers for trailing 4 quarters net income:

FY18 has grown to $11.2B from FY15’s $9B (25%), but that’s not entirely accurate.  See the note about the Q2 charge. With that included, Cisco earned $0 for 2018.

So the company is not selling more, but it is making more money on the same volume of stuff sold. Good!  Let’s say that should increase the stock price, 10-20%.  So where do we get 82%?  Read on…

 

3. Shares are contracting.  The company continues to use profits to retire shares, going from about 6B shares a decade ago to under 5B shares now.  That is big. Same income spread across fewer shares yields higher EPS.  The reduction in shares from FY15 (5.1B to FY18 4.7B) is about 8%, so there is another 10% of that 82% we are looking for

 

4.  Multiple expansion. This is the real generator of wealth.  In FY15 Cisco had a P/E of 14.7 trailing (12.3 on a forward basis).  That was, just simply way too low.  Now we get a 19.8 trailing P/E and a forward estimate of about 18 — which is in line with the market. I personally think given the opportunity and space Cisco plays in we should get a rich premium over market multiples — not back to 2001’s 120x, but to 30x? Sure! The Internet of Things is a big opportunity and we are poised to capture it.

That expansion from 14.7 to 19.8 is 35% — so that’s 35% of the 82%.  Or is it?   Look more closely:

1.25 * 1.08 * 1.35 = 1.82

Did you see it? There is your 82%.

Increase earnings 25%

Decrease shares outstanding 8%

and expand the whole multiple 35%

— its a multiplicative effect — the net is 25% + 8% + 35% = 82% — it is geometric — the multiple applies not only to the new income, but to all income.  That’s the magic.

So in a real sense the Trump tax cuts are what has Cisco up 82% in 3 years. As the animal spirits come out and the multiples expand there is a real wealth effect generated.   Again, this is all in the backdrop of real revenue down 10% in 3 years.

How does the future set up?  Very well.  If the new revenues get to ~$14B per year, that’s 20% more than now. If the shares keep dwindling at a similar rate. that’s another 10%, and if the political backdrop remains the same and multiples continue to expand to 25 for Cisco — then that (1.2 * 1.1 * 1.25) = 65% — which would be $82.5 per share, which would tie the all-time high for the company set on 28 March 2000.

 

 

 

 

 

Changes to playoffPredictor.com formula for 2018

I am changing the computer rankings formula on playoffPredictor.com to reflect margin of victory starting with 2018.  This is big change to the core beliefs of the playoffPredictor.com model which have always been based on simplicity.  To this point the model only considered wins and losses with no regard to margin of victory, away/home/neutral site for game, offensive or defensive stats, or month when game was played. A model that is this simple, this mathematical, and has excellent correlation to the final AP rankings year after year should not be tinkered with lightly.

By making this change to include strength of schedule I am hoping to accomplish 2 things:

First, this change should make early season rankings more in line with human polls starting from about weeks 3-4. Currently since margin of victory does not matter the formula can not really distinguish between a 3-0 Baylor team and 3-0 Alabama team.  It is only later in the season when there is more connectedness between Baylor’s and Alabama’s opponents or opponents opponents that the model can see Alabama’s wins to be superior to Baylor’s.   Now, with margin of victory the model will be able to reward a 60-0 Alabama win vs an average Vanderbilt team earlier in the season.

The 2nd goal deals with Auburn and the final 2017 committee prediction.  After 3 very successful years of nailing the playoff committee rankings before they came out, last year was a bust for the playoffPredictor methodology when it came to Ohio State / Alabama and the final rankings. The model put Ohio State at #4 in the final rankings, when the playoff committee had them at #5.  So what happened?   A lot of it has to do with Auburn.  Even after Auburn lost to Georgia in the SEC championship game, the computer did not punish Auburn much.  Going into the game the computer had them at #11 and after the game the computer had them at #12. So they only dropped one spot in the eyes of the computer.  But the humans dropped them from #2 pre-game to #7 post game. Because the formula uses this week’s computer rankings plus last week’s average bias, Auburn’s bias was so high (9 spots between computer at #11 and committee at #2) that when the computer only dropped them from #11 to #12, it expected the committee would similarly drop them from #2 to about #3 — what happened is that the computer was right before the committee saw it.

Let’s take a closer look — here are the week 13 computer and human rankings for 2017. Week 13 is post Auburn-Alabama game (where Auburn beat Alabama) but pre SEC championship game.  Note under the old formula (which does not take in margin of victory) Auburn is #11 in the computer.  and #2 in the humans.

Now here are the week 14 computer and human rankings. Week 14 is post SEC championship game, where Georgia solidly beat Auburn by 21 points. Again, under the old formula Auburn has moved from #11 only to #12 in the computer, and moved from #2 to #7 in the humans.

Clearly Auburn did not deserve to move from #11 in the computer to say #20 just because they lost to Georgia. Yes, they had 3 losses, but the losses were to Clemson (the #1 team in the final estimation of the committee), Georgia (played for the national championship) and LSU (average team), balanced with wins against Georgia and Alabama, who both played for the national championship.  Clearly that is a team resume that should have been right where the computer said (around 10) and not around 20.  So there is no fault in the computer here — it is the fault of the committee for not seeing what the computer saw earlier.

 

Now let’s look at how 2017 would have played out if margin of victory was part of the computer formula all along. At week 13 Auburn is #4 in the computer. Of course they will still be #2 in the humans — so their bias will be a lot lower – only a 2 spot bias.

At week 14 with the new formula, Auburn moves to #11 in the computer.  That coupled with the more normal team bias would have put them squarely out of the final top 4 in the models calculus, accomplishing the stated goals.

 

The other goal that adding strength of schedule will accomplish is get a more accurate computer ranking earlier in the season.  Back to 2017, here is the old model computer rankings for week 4

and here is what it would have been with the new margin of victory components included:

and finally here is what the AP poll was at that time:

 

Note the details like Wisconsin is #7 in the new method, outside of the top 15 in the old.   Alabama is at #3 instead of #5. Mathematically looking at the top 10 in all 3 lists,  the average delta of old to AP is 5.0 and the average delta of new to AP is 4.1, indicating about a 25% improvement in computer to human by week 4.   The correlation of the top 15 improves from .65 to .67.



Now, the method how I am incorporating strength of schedule is: 1 win is given for games where the final margin of victory is 16 or less points, 2 wins given for 17-32 points, and 3 wins given for a margin of victory 33 points or more.  I don’t like this, but it is a crude way to start this process and get the desired effect.  I feel there is a differentiation between a team down 16 and down 17.  At 16 points down, even late in the 4th quarter, that’s just a two score game.  Anything is possible in one play, so even if the offense has the ball and a 16 point lead, a pick six followed by a two point conversion makes a compelling game, and that is always one play away.  However, at 17 points (3 scores) down, I feel the other team will tend to give up a little bit more — you have really beaten a team when you are wining by 17 points with just 5 minutes left to play and you control the ball.   The ideal formula will take all these into consideration — If I have a 1st down, I am up by 9 points, the other team has no timeouts, and there is 3 minutes on the clock — that should all come into play.  I may use ESPNs in-game probabilities as the margin of victory component (when ESPN says team A has a 99.9% chance of winning, call the game then, and if that happens at 45:00 minutes of game time vs 59:40 minutes of game time — that is how the team earns margin of victory — but I may wait till next year to implement that.  I’m all for suggestions! Drop me a line — neville@agafamily.com or at reddit under /r/cfbanalysis

 

 

 

 

 

 

 

When does an economist recognize inflation (CPI)

I’ve always wondered… and want a real economist to tell me the answer.  I am about to head to Vegas and have a burger, fries and shake at Shake Shack.  For $18.   At the same day, no doubt, the BLS will release some nutty data that inflation measured at the CPI level grew only by 2% this year.  The McDonalds hamburger, fries and shake that I bought in ~2010 (for $5) to the $18 Shake Shack equivalent is clearly not 2% each year, its more like 20% each year.

OK, So I get that an economist would see the Shake Shack burger and the McDonald’s burger as different items, so inflation would not apply.  This got me to thinking — how would an economist view this logic:

Baseline: In a 1 town global economy with 100 people and 1 restaurant (a McDonalds).  They sell a quarter pound burger for $1.00. All 100 residents eat one of these burgers every year.   Year 1 CPI=100, which also equals the GDP.

At the beginning of year 2 this hypothetical economy gets a new restaurant – a Shake Shack.  It charges $2.00 for a quarter pound burger. However, they have no sales for the year. All 100 people still eat one burger at McDonalds every year. Year 2 CPI = 100, GDP=100.  <- no inflation in this economy.

During year 3, ten people switch eating their annual hamburger from McD to Shake Shack. GDP = 110 (90 from McD, 20 from SS).  However, CPI = 100, since the burger at SS is considered a “different product” or has “productivity gains” or some other such garbage.  After all, if they were interchangeable products no rational consumer would pay $2 for something they could get for $1 down the street <- no inflation in this economy.

Year 4, all people stop eating at McD and eat at SS.  GDP = 200.  CPI remains at 100, since in theory, these 100 consumers could have eaten at McD. <-still no inflation in this economy

Year 5, the McDonalds closes down. GDP=200, CPI=100.  Even though people are still eating a burger, that is now twice as expensive, and there are no other options, there is still no inflation since theoretically someone could open a McD?  <–?

Year 6, McDonalds corporate buys out Shake Shack in a hostile takeover. They remodel the Shake Shack restaurant, bringing back all McDonalds decorations and “classic” recipes for the burger.   However, they keep the price at $2 each.  GDP=200, CPI =100.

 

Note that in year 6 you have the exact same conditions as year 1, same product, 2x as expensive, however there has been no inflation at all in this scenario.

 

How would an economist react to this line of thought?

 

 

 

 

 

Idea – model hourly (ex open/close) stock performance as random variable

Idea that hit me today while driving — there is a lot of timing bias in the behavior of an individual stock due to the fact 1) humans are on a daily cycle and 2) opening prices gap from yesterdays close / close positioning.  There is also the fact of after market hours news to move prices.

Thing that I am looking for — model a stock performance as a random variable that is *normally distributed*  <- we find that modeling the daily return of $AAPL or $MSFT is not normally distributed (because of things like October 1987 <- that is an event that is so many standard deviations off the curve that it olny had a 10^-79 probability event, but it happened anyways).   Hypothesis:  We know daily price movements are NOT normally distributed, but perhaps the price movements from, say 11am to 1pm ARE normally distributed.

Check the correlation of $XXX from daily performance to 11am-1pm performance.   Are they correlated for something like $AAPL?    What is the 1 year return of $AAPL using only 11am-1pm vs full day performance?    Need to test this and report the findings here later.