Category Archives: Other

Disease: Good summary of coronavirus COVID-19 situation

Summarizes possible impacts to the U.S. and economic issues. CDC is planning for possible school and business closure mandates, summer Olympics could be canceled, and hoping the disease, like many, subsides during warm summer conditions.

The total number of COVID-19 cases climbed above 80,200 as of Tuesday with deaths climbing to at least 2,704.

Source: Coronavirus live updates: US confirms 53 cases, CDC outlines pandemic planning

U.S. firms discouraging or prohibiting travel by employees to affected areas now including China, Italy, South Korea and southeast Asia including Australia.

Personal finance: “FIRE” doesn’t really mean “retire early”


In truth, “FIRE” should be “FICC” for “financial independence change careers.”

Source: What I learned about the FIRE movement while making a doc about it

I have followed several “FIRE” blogs from people who save aggressively (generally a good thing) and “retire” at 30 or 40. I admire them for practicing frugality (something we have practiced too). I am now retired, albeit, at the age when many people have retired (old dude, ok?)

I too noticed that most FIRE practitioners did not retire, exactly, but often took advantage of their near financial independence to work independently, on their own schedule – instead of the usual corporate rat race. That’s not  bad thing either – in fact, it sounds like a great opportunity for many!

But there are some hidden “gotcha” expenses that may be lurking for FIRE adherents in the near future …

Continue reading Personal finance: “FIRE” doesn’t really mean “retire early” has moved to a new server (this one)

On December 18, 2019, my Internet web hosting provider announced they are shutting down in February 2020. I am now in process of relocating my 5 web sites to a new web host (and once this is done, a 6th site located elsewhere will also be relocated).

This post you are reading right now is on the new web host, however, the final appearance of this page and some other key items still need to be updated. These final fixes will occur over the next week or so. For example, this web site is presently using a self signed SSL certificate and access (https) results in a security alert that the SSL connection cannot be verified, or in some browsers, images are missing or the page formats incorrectly. This will be fixed, in due course.

Continue reading has moved to a new server (this one)

Coldest October temperature in lower 48 states recorded

A weather event is not climate. The coldest ever October temperature in the lower 48 states was recorded in Peter Sinks, Utah on October 28th, at -45 degrees F (-43 degrees C). Peter Sinks is located in the mountains north of Logan, Utah

Source: Winter weather in October: Arctic cold breaks records in Utah, Denver

Utah State University has a page explaining why such incredibly cold temperatures form at this location.

Most electric vehicles will not operate at this temperature; those that do will likely experience up to -50% reduction in range. Many gas cars will not start either at those temperatures.

The cold weather descending from California is the critical factor in why winds have been so high in parts of California.

The Governor blames “climate change”. But are the high winds due to climate change?

“Would this fire have happened if there was no climate change? Probably,” said Paul Ulrich, an associate professor of climate modeling at UC Davis.

Source: California fires: Is climate change making the winds stronger?

Professor Cliff Mass, professor of atmospheric sciences says:

Now several folks are talking about this event being associated with global warming.  CA Governor Newson said this in a press conference.  This is simply not true.

But what message is the public hearing? That this event is due to “global heating” even though science does not say that about this event.

The winds were due to a very cold air mass descending south from Canada, which causes high pressure relative to areas further south. This cold air led to 3 low temperature records in my town, one at -3 degrees F.  Spokane, WA experienced its coldest October on record.

This cold air mass, in turn causes strong winds to flow from the high in the north and north east towards California. This is a common event in the fall. If you read the California fires story, above, you will learn of many associated causes of the fires (including more people, building more homes in wild land areas, and PG&E’s historical lack of electrical line maintenance, and uninsulated power lines in close proximity to trees.)

Warmer air, like in California, is often associated with nearby very cold air masses. That’s just how weather systems work.

The problems with models versus the real world

Model-land is a hypothetical world in which our simulations are perfect, an attractive fairy-tale state of mind in which optimising a simulation invariably reflects desirable pathways in the real world. Decision-support in model-land implies taking the output of model simulations at face value (perhaps using some form of statistical post-processing to account for blatant inconsistencies), and then interpreting frequencies in model-land to represent probabilities in the real-world.

The following is something I see nearly every day in the media – where the model output is presented as the real world (even when the real world is different):

As a trivial example, when writing about forecasts of household consumption, energy prices, or global average surface temperature, many authors will use the same name and the same phrasing to refer to effects seen in the simulation as those used for the real world. It may not be the case that these authors are actually confused about which is which, the point is that readers of conclusions would benefit from a clear distinction being made, especially where such results are presented as if they have relevance to real-world phenomena and decision-making.

For what we term “climate-like” models, the realms of sophisticated statistical processing which variously “identify the best model”, “calibrate the parameters of the model”, “form a probability distribution from the ensemble”, “calculate the size of the discrepancy” etc., are castles in the air built on a single assumption which is known to be incorrect: that the model is perfect.


It is not clear why multi-model ensembles are taken to represent a probability distribution at all; the distributions from each imperfect model in the ensemble will differ from the desired perfect model probability distribution (if such a thing exists); it is not clear how combining them might lead to a relevant, much less precise, distribution for the real-world target of interest.

Source: 1662970102.pdf

The last paragraph quoted above is something that has long bothered me about model ensembles.

This paper is a good read. Click on the link above to read the full paper.

Thompson, Erica L.; Smith, Leonard A. (2019) : Escape from model-land, Economics Discussion Papers, No. 2019-23, Kiel Institute for the World Economy (IfW), Kiel. Retrieved from:

WordPress 5.0 Update-Do not update at this time

WordPress just updated their software to version 5.0, providing a new user interface for editing.

However, on some of my sites, I can no longer publish anything nor update existing posts. Others are also reporting this problem.  The symptom is you received a “Publishing failed” error when you attempt to publish a new post, or “Updating failed” when you try to edit and update an old post.

FIX FOR THE WORDPRESS UPDATING FAILED ERROR –> Install the Classic Editor plug in and use that to edit your posts. I can edit and post new content using the Classic Editor – just not using the new Blocks editor.

On at least one of my sites, the “Categories” feature has simply disappeared.

There appear to be numerous problems with the WordPress 5.0 update and I recommend that all WordPress users DO NOT UPDATE TO VERSION 5.0 AT THIS TIME.

My mistake for having updated 4 of my 5 blogs before I discovered that the WP 5.0 update is badly broken.

About to give up on #VR #virtualreality – its a pain to set up

Long ago I used the literal cardboard Google Cardboard to hold my phone as a VR viewer. The Cardboard eventually fell apart (as expected).

Later, I replaced that with a Samsung Gear VR headset as at the time, it was the only headset I could find with a diopter adjustment. All other headsets were unusable by anyone who must wear reading glasses. The Gear VR kinda worked as a Cardboard viewer as I did not have a Samsung phone and the Gear VR only works, officially, with Samsung phones. But with emphasis on “kinda” worked – this enabled testing the VR waters, so to speak.

A week ago, I finally got a Daydream compatible headset to use with my Pixel 2 – and no surprise – the Daydream Controller refuses to pair with my phone.

How on earth can VR achieve any market share success when it is a pain to set up? Is there VR gear that is usable?

Separately, I used the Fulldive VR viewer as it does not require a controller to make selections. Unfortunately, after a bit of VR 360 Youtube viewing, I experienced nausea. 30 minutes after discontinuing using the VR viewer I am still feeling ill. Oddly enough, I can watch 3D videos all day and have no such troubles.

I think the problem is a combination of VR motion but also low resolution and focusing issues that cause eye strain.

Trying to get the Controller to work, I reset the Controller by pressing and holding the Home and App buttons simultaneously. I can then pair the controller with my phone using the Android Bluetooth menu and the controller shows in the Bluetooth devices list.

However, when I run the Daydream app, it says no controller is paired and attempts to pair it with the controller always fail. Well, except two times it began the pairing process but failed.

I have paired a Bluetooth mouse with the phone and I can use that to select user interface items, but the mouse lacks the accelerometers in the controller for use in gaming and other actions.

The Daydream Youtube viewing experience is not great – the user interface seems clumsy and more often than not I end up exiting the Daydream app and have to remove the phone from the headset and get it reset back in to Daydream. The resolution provided by a phone is also inadequate – I think the visible pixels contribute to the feeling of nausea.

Shooting VR stills or video is fairly straight forward. But the viewing experience is not very good – yet.

Consequently, I’m not inclined to buy a dedicated VR headset ($400 and up). VR has been around a long time but with difficult to use viewers and poor user interfaces, this tech needs further development.

Update – the vendor of my Daydream compatible headset is sending me a replacement Daydream Controller. Hope it works!

When Women Stopped Coding : Planet Money : NPR

For decades, the share of women majoring in computer science was rising. Then, in the 1980s, something changed.

Source: When Women Stopped Coding : Planet Money : NPR

NPR makes an assertion that 1984 is when personal computers in the home emerged and that parents only bought personal computers for their sons. The first assertion is false and the second assertion is made without any supporting evidence.  The latter assertion provides no meaningful explanation for women in computer science prior to the mid-1980s nor that most young women today have a personal computer but still are, apparently, not going into computer science.

The above NPR report is one that makes you think you have just learned something but in fact, fails to explain anything.

Here is a chart I made showing the percent of homes with a PC, from 1984 to 2012. Data provided by the US Census up through 2012.  Data was not collected every year so some years have no data.

You can see that home PCs went from 8% in 1984 to 15% in 1989. Both are small values. This does not explain why fewer women students pursued computer science after the mid-1980s, contrary to the NPR report’s claim.

In roughly the last 20 years, access to personal computers, by gender and age, is widespread but there was no upsurge in computer science enrollment by women which would be expected if the NPR thesis were true.

Another issue is to understand what is being measured. Most discussions of “women in STEM” are referring to “women in computer science” or sometimes “women in computer science and engineering” – and are mistakenly presented as a proxy for women in science.   Many STEM metrics specifically omit degrees in (especially) the health sciences as “STEM” when they are also science-based degrees.

Women represent about 90% of all nursing (and elementary school teaching) jobs – fields that employ far more people than are employed in the computer sciences.  In terms of overall degrees in science, technology, engineering and math, women graduates were just barely above 50% (last I checked NSF data – It depends on how you define “STEM”). Women are way above 50% in terms of overall 4 year college degree graduates and have been since the early 1980s. 49.8% of medical school students are women and are 78% of veterinary school students.

(From National Girls Collaborative Project)

This shows the same information as trend line over time:

But there is no concern – and instead, silence – about diversity and balance in fields outside of computer science. There is a problem in computer science but unsound assertions, as described in the NPR report, do not lead to useful solutions.