.................and the supply/demand scales will level out. Then, and only then, can we talk seriously about solving the affordability problem. Historically, one million housing starts per year is the magic number.
A view of life and commercial real estate from Newark and Licking County, Ohio
.................and the supply/demand scales will level out. Then, and only then, can we talk seriously about solving the affordability problem. Historically, one million housing starts per year is the magic number.
Data can be biased: There is a widely held belief that data is objective, at least if it takes numerical form. In the hands of analysts who are biased or have agendas, data can be molded to fit pre-conceptions.
-Aswath Damodaran, as culled from here
........America is getting the President we deserve.
You can read the essay yourself if you wish. I will tell you that the following sentence made me stop and say, "What?":
When approximately half of adults in the U.S. lack literary proficiency, is it any surprise we elect leaders who speak in soundbites rather than solutions?
In 2025 almost half (actually, if you follow the link the number used is 54%) of the adults in the United States "lack literary proficiency"? Can that possibly be true?
Post-legalization [of marijuana], incomes in legalizing states grew by about 3%, home prices went up by 6%, and populations rose by about 2%.
-as culled from this Marginal Revolution post
............if the underlying assumptions are correct. While truly not having a clue, I'm going to hypothesize that governmental re-regulation plays a considerable role.
.......................with Tim Harford. Some snippets from The Data Detective: Ten Easy Rules to Make Sense of Statistics:
Much of what we think of as cultural differences turn out to be differences in income.
It’s a rather beautiful discovery: in a world where so many people seem to hold extreme views with strident certainty, you can deflate somebody’s overconfidence and moderate their politics simply by asking them to explain the details. Next time you’re in a politically heated argument, try asking your interlocutor not to justify herself, but simply to explain the policy in question.
A hammer looks like a useful tool to a carpenter; the nail has a different impression altogether.
Ten rules of thumb are still a lot for anyone to remember, so perhaps I should try to make things simpler. I realize that these suggestions have a common thread—a golden rule, if you like. Be curious.
So the problem is not the algorithms, or the big datasets. The problem is a lack of scrutiny, transparency, and debate.
But we can and should remember to ask who or what might be missing from the data we’re being told about.
trust is easy to throw away and hard to regain.
Neuroscientific studies suggest that the brain responds in much the same anxious way to facts that threaten our preconceptions as it does to wild animals that threaten our lives.
I worry about a world in which many people will believe anything, but I worry far more about one in which people believe nothing beyond their own preconceptions.
Not asking what a statistic actually means is a failure of empathy, too.
The good stories are everywhere. They are not made memorable by their rarity; they are made forgettable by their ubiquity.
If we don't understand the statistics, we're likely to be badly mistaken about the way the world is. It is all too easy to convince ourselves that whatever we've seen with our own eyes is the whole truth; it isn't. . . .
And yet, if we understand only the statistics, we understand little. We need to be curious about the world we see, hear, touch, and smell as well as the world we can examine through a spreadsheet.
My second piece of advice, then, its to try to take both perspectives—the worm's eye view as well as the bird's eye view. They will usually show you something different, and they will sometimes pose a puzzle: how could both views be true? That should be the beginning of an investigation.
-Tim Harford, How To Make The World Add Up: Ten Rules For Thinking Differently About Numbers
Of course, we shouldn't be credulous, but the antidote to credulity isn't to believe nothing, but to have the confidence to assess information with curiosity and a healthy scepticism.
Good statistics are not a trick, although they are a kind of magic. Good statistics are not smoke and mirrors; in fact, they help us see more clearly. Good statistics are like a telescope for an astronomer, a microscope for a bacteriologist, or an X-ray for a radiologist. If we are willing to let them, good statistics help us see things about the world around us and about ourselves — both large and small — that we would not be able to see in any other way.
-Tim Harford, How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers