How weird are these two?

I got confronted with the weirdest article in the Independent today, the article was 4 days old, but then, I do not frequent that paper so often, hence, I initially missed it. The article (at gives us: “It’s about to get a lot more expensive to play PlayStation online“, which is an exaggeration to say the least. Now, for the longest time, the PlayStation plus has remained the same (as far as I remember), yet now we see a rate rise. The amount it rises with is £10 per year of £1 per month. It equates to 16% monthly, or 25% annually, yet the percentage increase is wrong, because it is £6.99 per month (new price), which comes to £83.88 per year, yet the full annual is a mere £49.99, which is only 59% of the monthly price on 12 months, so overall it remains a really good deal. So, as he whines on that event and how you can cancel the subscription. He also forgot to mention the fact that those with PlayStation Plus get 7 free games a month to play with, 3 PS4 games, 2 PS3 games and 2 Vita games, and the one subscription covers ALL three devices. Is it not interesting how that part got overlooked? The additional fact worth mentioning is that the list from June 2010 onwards has offered in total 493 games, 25 games had 90%+ ratings, which included games like Mass Effect (2+3), Bioshock Infinite, Batman Arkham City, Journey, Far Cry 3, God of War and a few others, So as we see the list offered, the £1 a month, or £10 a year does not add up to too much, when it amounts to 84 free games a year, which gets us an ‘enormous’ £0.11 increase per game (which makes it £0.59 per game in total) and in addition the access to multiplayer gaming, which we set at £0 for this exercise. So when Andrew Griffin writes that it is all about to get ‘a lot more expensive‘, I wonder if he has any clue on the gaming industry at all. Now, we know that there is hardship all over and that people can afford less and less, yet the option to get games at £0.59 per game remains a really good deal. In addition, you get them for the three devices without needing separate subscriptions. So I feel that Sony has always offered a really good deal for the gamers. Now, we might not always get the greatest games, yet 100+ titles had a higher than 80% rating and 25 games in addition had 90% or higher rating, so the people are getting really good games and they get a lot more than Microsoft offers and much better titles. The one part that the article does offer the reader is that if you try to renew the subscription now, you can get it for the ‘old’ price which is a pretty sweet deal, so you can delay the price increase for a year. In light of all this, not only is the description ‘a lot more expensive‘ a joke to say the least, the fact that the increase will not start until August 31st is also a clean option to quickly get the renewal now whilst the games are a mere £0.47 per game.

So when I see the title part ‘As Sony makes it more expensive to play online‘ I do wonder where he got his insights. Factual he might be right, yet in the day and age where the price of a PlayStation Plus videogame is set at less than a 1 pint bottle of Tesco Organic British Whole Milk, the entire setting of ‘a lot more expensive‘ should keep you on the floor laughing for some time to come.

From my point of view my response to the Independent is ‘Bad form, Independent, bad form!’

Second place issue

The second issue shown is one that was given to us in both the World Finance site as well as the Wall Street Journal. The issue given is “America’s young men are increasingly giving up on work in order to slay virtual aliens and fight videogame wars, new research suggests”, which is more than merely a laughable joke. The original source US National Bureau of Economic Research, the part that calls out might be “Academics from Princeton University, the University of Chicago and the University of Rochester say there’s ample evidence that since 2000, men who would otherwise be working are instead being drawn into immersive virtual worlds….”, yet what is this based on? You see, the data past 2008, a date many will remember, saw the Youth unemployment rate rise from 10% to 19%, after the beginning of 2011 those numbers have been declining steadily down to 9%, so the unemployment rate for the youth is now close on par with 1968, when it was the lowest in US History and only slightly better than 2003 which was the lowest at that point for close to 30 years. So when we consider those facts, it seems that the makers are giving us what some would regard a hatchet job. My title for that might be slightly too crass; yet when we see “Since 2004, time-use data show that younger men distinctly shifted their leisure to video gaming and other recreational computer activities. We propose a framework to answer whether improved leisure technology played a role in reducing younger men’s labor supply”, so how idiotic is such a notion when we consider the 2004 and 2008 meltdowns that thrashed the economy in several ways, in that same timeline, US unemployment (all) was set to 10% in 2008, with a steady decline that follows roughly the same downward trend to a little over 4% at present, now we might agree, that whilst unemployed those youthful individuals would divert towards videogames it is a path that is still better than heading towards the streets trying to be gainfully and criminally active.

In this the quote used by world finance “While eight percent of younger men were not in work in 2000, this number rose to 15 percent in 2016”, is more than inaccurate, according to it is an outright lie. gives us some extra information that is actually useful. Their quote (at is “The employment-to-population ratio for younger workers had only recovered about halfway for its recession-era decline as of early 2017. Youth employment rates have returned to pre-recession averages in just four states”, which seems to fit the other sources. This is what could be regarded as something that pisses me off. With ‘Leisure Luxuries and the Labor Supply of Young Men’ by Mark Aguiar, Mark Bils, Kerwin Kofi Charles and Erik Hurst, I have a hard time just giving it too much consideration. The paper has additional flaws, the consideration that we see on page 4 with “We further exclude full-time students who are less than age 25” which is a chunk of undergrads and post grads that work at least part time to be able to afford food and other small issues like books. So the numbers are already skewed, in addition some sources give us that 80% of the full time students work part time, which gives us, which was part of a Citigroup study. The UK has numbers on 1 out of 7 students work and study full time, this might not be reflective of US students, yet it should be to some extent reflective of students in some of the US metropolitan areas like New York, Los Angeles and San Francisco where the cost of living remains a rising burden. It is in section 6 on page 31 when my laughter explodes. The issue given “we can use time allocation data to infer the rate of technological progress for gaming and computer leisure since the early 2000s”, this a given? With two recessions and the non-working youth being a historic high in 2010, surpassing the recession of the early 80’s is more than just an issue, with numbers showing a steady decrease since then, the job market starting to open, whilst outliers have a stronger impact. In 2017 retail shed 60,000 jobs in the US, whilst Wal-Mart and Amazon seem to be in a strategic battle of realigning jobs towards online presence, all elements that impact the job market. So as jobs get realigned through strategy, where do the jobs end up? What will those people do when they are not working? The information Forbes gives us on this is even scarier when it reflects the need for consumer appeal via transferred initiatives. In all this, the paper does give some interesting premises, yet relies on certain parts, which are I light of the two recessions a little too much of a stretch, yet the fact on how the formulas were used is actually quite interesting. Another flaw is seen on page 32, now this is the flaw as I personally see it regarding the data as showed, yet without the actual questionnaire on view, there is a flaw in both the results and the way that I see it might be, so we need to be aware of that.

With “We stratify by three groups: younger men who spent zero time on computer leisure the prior day, those who spent 2 hours or less, and those who spent more than 2 hours”, the flaw is the ‘when’, I would spend well over 2 hours playing after a full day work, so when we consider the working population with or without full time study, we see that the graph is flawed. Even the other way round, part time students with a full time job, they could fall into the 2 hour plus gaming bracket. It is that flaw that calls even more doubt into question regarding this paper. A final ‘consideration’ needs to be given when I take a look at the ‘Leisure Engel Curve’. Here I also must admit that I will give doubt to my own thought as I might not have comprehended that part completely (apart from the formula), you see, they do state “With the leisure Engel curves, we can link shifts in time spent across activities to an implied change in the marginal utility of total leisure”, yet does this part correct for any hype (read: diversion through peer and social group pressure)? I doubt that very much, as evidence I call for the Pokémon Go wave that started in July 2016, which is clearly computer leisure (read: mobile gaming leisure), yet the paper has not taken mobile gaming in any of it and sets gaming as a static given, yet this wave suddenly pushed 60 million people to a hyped community in the same group as other gamers, whilst mobile gamers can be set into any part of an idle time setting (like travel time), this disjoints the entire exercise as I see it and gives a larger (read accelerated) gaming community in a shifted setting according to the settings as given, yet not corrected for any version of the definition of what constitutes a gamer.

Even as we can admire the formulated exercise, we need to concern that the raw data is not reliable as such and that there are additional issues that the data model and the questionnaires and requested data cannot correct for. In addition when we see the models, there seems to be no consideration for idle time and/or transit time and the consideration of handheld devices or smartphones which calls for even more questions on the gaming environment.

No matter how clever some will think the paper looks like, from the stage as I see it, there are too many unknowns or unanswered question marks and in reflection the conclusion and some of the media statements are not in line of the reality of the recessions the people lived through.

That is merely my setting where $0.02=C(1+r)^t



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Filed under Finance, Gaming, IT, Media, Politics, Science

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