Facebook, Twitter, and now Google have discovered that Russia bought political ads during the election. Kaspersky is spying. So is the Google Home Mini. Google buys 60db. Project Loon may give Puerto Rico Internet while Elon Musk gives them power, and Zuckerberg looks on in VR. Don't try to rob a bank using information you find online. YouTube bans bump stock videos. Carl's Jr begs Amazon to buy them in bizarre Twitter campaign. Oculus announces a standalone VR headset. Google Assistant has a higher IQ than Siri.
Adds Basic Location Support to Wordpress. Contribute to dshanske/simple-location development by creating an account on GitHub.
Per our conversation and since there are map style features now:
I kind of like the Satellite map views, particularly for the Ireland stops. May be useful to have a toggle per post to do that versus street map view for more city-based posts.
I don’t do it often, but checkins on hikes or vacations would be cooler with satellite view (or topographic view if they had it) while city-stops would be better displayed with traditional line maps.
Apparently the forest fire started around 4 am on Mount Wilson and has been burning relatively steadily since.
View of the Wilson Fire from East Pasadena on Woodbury.
Mount Wilson from Woodbury and El Molino in Pasadena
Mount Wilson from New York Blvd.
View of the fire at 8:54am from my back yard. (It’s more difficult to see from here despite it being far closer.)
Wilson fire at 8:54am from my front yard. It’s originating just behind the peak behind the palm tree.
I’ve got a great view from my office window of helicopter water drops.
This isn’t the closest fire to the house–that award goes to a medium sized brush fire about 8 doors down when I lived on Adams Hill in 2012, which was out in just a few hours–but it is the closest and the largest thus far. While it would take me about 3.5 hours to hike to the location of the fire, it’s because it’s located on a mountain and would take some winding mountain paths as well as a 4,700 foot climb. Sadly, most everything between us and the fire is all dry brush.
Fortunately today it’s not as hot or as windy as it has been here for the past month. Typically the winds have been to the North West this month, which would potentially serve to protect the house. The fire isn’t very close to residential neighborhoods (ours is the closest though), but there is an estimated $500 million in infrastructure and assets at the top of the hill as it is the home of the Wilson Observatory as well as a multitude of broadcast equipment for all of the major LA television and several radio stations.
Since at least 9am, I’ve been seeing a rotation of at least three helicopters and a large plane (747?) doing water drops on the hillside to battle the fire. Some of the photos above have these aircraft visible.
I still vividly remember the massive Station Fire in this area from August 2009 that still stands as one of the nation’s largest and significantly threatened the Observatory at the top of the hill above us. I was in San Diego the day the fire started and still remember the massive pyrocumulus cloud that I could vividly see the entire drive back home to Los Angeles.
Sadly, site deaths (thanks FriendFeed) have not preserved the photos, but here are a few tweets almost a week apart about the original:
Pyrocumulus cloud overlooking my local grocery store this afternoon as result of Station Fire. [pic] http://ff.im/-7sVUb
4:00 am Fire reported
8:00 am 26 acres burning and 0% contained
9:00 am the blaze had burned about 30 acres and and was 5 percent contained, according to the U.S. Forest Service
4:00 pm No visible smoke apparent from the Pasadena side facing North, but the fire is still blazing
9:00 pm No visible fire from the Pasadena side still, but fire is still at 30 acres and 25% containment
Checking out the new neighborhood market while I pick up lemons for the tabbouleh.
Armen Market
34.1787262-118.114475
Docteur Jerry et Mister Love
Docteur Jerry et Mister Love ❤️⚗️👓🎬 I found this original French one sheet 47″ X 63“ after the move. Will have to get it mounted and framed for the office.
The University of Southern California announced Thursday that Rohit Varma has resigned as dean of the Keck School of Medicine. He had replaced a dean who was banned from campus after allegations of drug use and partying.
I’ve been so busy in the last month, I had to do a double-take at the word ANOTHER!
The statement USC released seems highly disingenuous and inconsistent to me.
“As you may have heard, today Dr. Rohit Varma resigned as dean of the Keck School of Medicine of USC,” the school’s provost, Michael Quick, wrote in a message to the community.
“I understand how upsetting this situation is to all of us, but we felt it was in the best interest of the faculty, staff, and students for all of us to move in this direction. Today we learned previously undisclosed information that caused us to lose confidence in Dr. Varma’s ability to lead the school. Our leaders must be held to the highest standards. Dr. Varma understands this, and chose to step down.”
First they say Varma resigned as dean which makes it seem as if he’s stepping aside of his own accord when the next paragraph indicates that the University leadership has lost confidence in him and forced him out. So which is it? He resigned or was fired?
Secondly they mentioned “undisclosed information”. This is painful because the so-called undisclosed information was something that USC was not only aware of, but actually paid off a person involved to the tune of more than $100,000!
USC paid her more than $100,000 and temporarily blocked Varma from becoming a full member of the faculty, according to the records and interviews.
“The behavior you exhibited is inappropriate and unacceptable in the workplace, reflects poor judgment, is contrary to the University’s standards of conduct, and will not be tolerated at the University of Southern California,” a USC official wrote in a 2003 letter of reprimand.”
Even the LA Times reports: “The sexual harassment allegation is well known in the upper echelons of the university, but not among many of the students and staff.” How exactly was this “undisclosed?!”
So, somehow, a person who was formally reprimanded years ago (and whose reprimands were later greatly lessened by the way) was somehow accidentally promoted to dean of an already embattled division of the university?? I’m not really sure how he even maintained his position after the original incident much less subsequently promoted and allowed to continue on to eventually be appointed dean years later. Most shocking, there was no mention of his other positions at USC. I take this to mean that he’s still on the faculty, he’s still on staff at the hospital, and he’s still got all the rights and benefits of his previous positions at the University? I sincerely hope that he learned his lesson in 2003, but suspect that he didn’t, and if this is the case and others come forward, he will be summarily dispatched. For the University’s sake, I further hope they’re looking into it internally with a fine-toothed comb before they’re outed again by the Los Angeles Times reporting staff who seem to have a far higher level of morality than the USC leadership over the past several years.
During a month which has seen an inordinate amount of sexual harassment backlash, I’m shocked that USC has done so very little and has only acted (far too long after-the-fact) to sweep this all under the rug.
📖 Read pages 63-88 of Abstract Algebra: An Introduction (First Edition) by Thomas W. Hungerford
Chapter 3: Rings, Section 3 – Chapter 4: Arithmetic in F[x], Sections 1 & 2
Reviewing over some algebra for my algebraic geometry class
I don’t think she’s used the specific words in the book yet, but O’Neil is fundamentally writing about social justice and transparency. To a great extent both governments and increasingly large corporations are using these Weapons of Math Destruction inappropriately. Often it may be the case that the algorithms are so opaque as to be incomprehensible by their creators/users, but, as I suspect in many cases, they’re being used to actively create social injustice by benefiting some classes and decimating others. The evolving case of Facebook’s involvement in potentially shifting the outcome of the 2016 Presidential election especially via “dark posts” is an interesting case in point with regard to these examples.
In some sense these algorithms are like viruses running rampant in a large population without the availability of antibiotics to tamp down or modify their effects. Without feedback mechanisms and the ability to see what is going on as it happens the scale issue she touches on can quickly cause even greater harm over short periods of time.
I like that one of the first examples she uses for modeling is that of preparing food for a family. It’s simple, accessible, and generic enough that the majority of people can relate directly to it. It has lots of transparency (even more than her sabermetrics example from baseball). Sadly, however, there is a large swath of the American population that is poor, uneducated, and living in horrific food deserts that they may not grasp the subtleties of even this simple model. As I was reading, it occurred to me that there is a reasonable political football that gets pushed around from time to time in many countries that relates to food and food subsidies. In the United States it’s known as the Supplemental Nutrition Assistance Program (aka SNAP) and it’s regularly changing, though fortunately for many it has some nutritionists who help to provide a feedback mechanism for it. I suspect it would make a great example of the type of Weapon of Mass Destruction she’s discussing in this book. Those who are interested in a quick overview of it and some of the consequences can find a short audio introduction to it via the Eat This Podcast episode How much does a nutritious diet cost? Depends what you mean by “nutritious” or Crime and nourishment Some costs and consequences of the Supplemental Nutrition Assistance Program which discusses an interesting crime related sub-consequence of something as simple as when SNAP benefits are distributed.
I suspect that O’Neil won’t go as far as to bring religion into her thesis, so I’ll do it for her, but I’ll do so from a more general moral philosophical standpoint which underpins much of the Judeo-Christian heritage so prevalent in our society. One of my pet peeves of moralizing (often Republican) conservatives (who often both wear their religion on their sleeves as well as beat others with it–here’s a good recent case in point) is that they never seem to follow the Golden Rule which is stated in multiple ways in the Bible including:
He will reply, ‘Truly I tell you, whatever you did not do for one of the least of these, you did not do for me.
In a country that (says it) values meritocracy, much of the establishment doesn’t seem to put much, if any value, into these basic principles as they would like to indicate that they do.
I’ve previously highlighted the application of mathematical game theory before briefly in relation to the Golden Rule, but from a meritocracy perspective, why can’t it operate at all levels? By this I’ll make tangential reference to Cesar Hidalgo‘s thesis in his book Why Information Grows in which he looks not at just individuals (person-bytes), but larger structures like firms/companies (firmbytes), governments, and even nations. Why can’t these larger structures have their own meritocracy? When America “competes” against other countries, why shouldn’t it be doing so in a meritocracy of nations? To do this requires that we as individuals (as well as corporations, city, state, and even national governments) need to help each other out to do what we can’t do alone. One often hears the aphorism that “a chain is only as strong as it’s weakest link”, why then would we actively go out of our way to create weak links within our own society, particularly as many in government decry the cultures and actions of other nations which we view as trying to defeat us? To me the statistical mechanics of the situation require that we help each other to advance the status quo of humanity. Evolution and the Red Queeen Hypothesis dictates that humanity won’t regress back to the mean, it may be regressing itself toward extinction otherwise.
Highlights, Quotes, & Marginalia
Chapter One – Bomb Parts: What is a Model
You can often see troubles when grandparents visit a grandchild they haven’t seen for a while.
Highlight (yellow) page 22 | Location 409-410 Added on Thursday, October 12, 2017 11:19:23 PM
Upon meeting her a year later, they can suffer a few awkward hours because their models are out of date.
Highlight (yellow) page 22 | Location 411-412 Added on Thursday, October 12, 2017 11:19:41 PM
Racism, at the individual level, can be seen as a predictive model whirring away in billions of human minds around the world. It is built from faulty, incomplete, or generalized data. Whether it comes from experience or hearsay, the data indicates that certain types of people have behaved badly. That generates a binary prediction that all people of that race will behave that same way.
Highlight (yellow) page 22 | Location 416-420 Added on Thursday, October 12, 2017 11:20:34 PM
Needless to say, racists don’t spend a lot of time hunting down reliable data to train their twisted models.
Highlight (yellow) page 23 | Location 420-421 Added on Thursday, October 12, 2017 11:20:52 PM
the workings of a recidivism model are tucked away in algorithms, intelligible only to a tiny elite.
Highlight (yellow) page 25 | Location 454-455 Added on Thursday, October 12, 2017 11:24:46 PM
A 2013 study by the New York Civil Liberties Union found that while black and Latino males between the ages of fourteen and twenty-four made up only 4.7 percent of the city’s population, they accounted for 40.6 percent of the stop-and-frisk checks by police.
Highlight (yellow) page 25 | Location 462-463 Added on Thursday, October 12, 2017 11:25:50 PM
So if early “involvement” with the police signals recidivism, poor people and racial minorities look far riskier.
Highlight (yellow) page 26 | Location 465-466 Added on Thursday, October 12, 2017 11:26:15 PM
The questionnaire does avoid asking about race, which is illegal. But with the wealth of detail each prisoner provides, that single illegal question is almost superfluous.
Highlight (yellow) page 26 | Location 468-469 Added on Friday, October 13, 2017 6:01:28 PM
judge would sustain it. This is the basis of our legal system. We are judged by what we do, not by who we are.
Highlight (yellow) page 26 | Location 478-478 Added on Friday, October 13, 2017 6:02:53 PM
(And they’ll be free to create them when they start buying their own food.) I should add that my model is highly unlikely to scale. I don’t see Walmart or the US Agriculture Department or any other titan embracing my app and imposing it on hundreds of millions of people, like some of the WMDs we’ll be discussing.
You have to love the obligatory parental aphorism about making your own rules when you have your own house. Yet the US SNAP program does just this. It could be an interesting example of this type of WMD. Highlight (yellow) page 28 | Location 497-499 Added on Friday, October 13, 2017 6:06:04 PM
three kinds of models.
namely: baseball, food, recidivism Highlight (yellow) page 27 | Location 489-489 Added on Friday, October 13, 2017 6:08:26 PM
The first question: Even if the participant is aware of being modeled, or what the model is used for, is the model opaque, or even invisible?
Highlight (yellow) page 28 | Location 502-503 Added on Friday, October 13, 2017 6:08:59 PM
many companies go out of their way to hide the results of their models or even their existence. One common justification is that the algorithm constitutes a “secret sauce” crucial to their business. It’s intellectual property, and it must be defended,
Highlight (yellow) page 29 | Location 513-514 Added on Friday, October 13, 2017 6:11:03 PM
the second question: Does the model work against the subject’s interest? In short, is it unfair? Does it damage or destroy lives?
Highlight (yellow) page 29 | Location 516-518 Added on Friday, October 13, 2017 6:11:22 PM
While many may benefit from it, it leads to suffering for others.
Highlight (yellow) page 29 | Location 521-522 Added on Friday, October 13, 2017 6:12:19 PM
The third question is whether a model has the capacity to grow exponentially. As a statistician would put it, can it scale?
Highlight (yellow) page 29 | Location 524-525 Added on Friday, October 13, 2017 6:13:00 PM
scale is what turns WMDs from local nuisances into tsunami forces, ones that define and delimit our lives.
Highlight (yellow) page 30 | Location 526-527 Added on Friday, October 13, 2017 6:13:20 PM
So to sum up, these are the three elements of a WMD: Opacity, Scale, and Damage. All of them will be present, to one degree or another, in the examples we’ll be covering
Think about this for a bit. Are there other potential characteristics? Highlight (yellow) page 31 | Location 540-542 Added on Friday, October 13, 2017 6:18:52 PM
You could argue, for example, that the recidivism scores are not totally opaque, since they spit out scores that prisoners, in some cases, can see. Yet they’re brimming with mystery, since the prisoners cannot see how their answers produce their score. The scoring algorithm is hidden.
This is similar to anti-class action laws and arbitration clauses that prevent classes from realizing they’re being discriminated against in the workplace or within healthcare. On behalf of insurance companies primarily, many lawmakers work to cap awards from litigation as well as to prevent class action suits which show much larger inequities that corporations would prefer to keep quiet. Some of the recent incidences like the cases of Ellen Pao, Susan J. Fowler, or even Harvey Weinstein are helping to remedy these types of things despite individuals being pressured to stay quiet so as not to bring others to the forefront and show a broader pattern of bad actions on the part of companies or individuals. (This topic could be an extended article or even book of its own.) Highlight (yellow) page 31 | Location 542-544 Added on Friday, October 13, 2017 6:20:59 PM
the point is not whether some people benefit. It’s that so many suffer.
Highlight (yellow) page 31 | Location 547-547 Added on Friday, October 13, 2017 6:23:35 PM
And here’s one more thing about algorithms: they can leap from one field to the next, and they often do. Research in epidemiology can hold insights for box office predictions; spam filters are being retooled to identify the AIDS virus. This is true of WMDs as well. So if mathematical models in prisons appear to succeed at their job—which really boils down to efficient management of people—they could spread into the rest of the economy along with the other WMDs, leaving us as collateral damage.
Highlight (yellow) page 31 | Location 549-552 Added on Friday, October 13, 2017 6:24:09 PM
Guide to highlight colors
Yellow–general highlights and highlights which don’t fit under another category below Orange–Vocabulary word; interesting and/or rare word Green–Reference to read Blue–Interesting Quote Gray–Typography Problem Red–Example to work through
We have lost control over our content. To change this, we need to reconsider the way we create and consume content online. We need to create a new set of tools that enable an independent, open web for everyone.
A nice narrative for the IndieWeb movement by Matthias.
Some of my favorite quotes from the piece:
Having your own website surely is a wonderful thing, but to be relevant, useful, and satisfactory, it needs to be connected to other sites and services. Because ultimately, human interactions are what fuels social life online and most of your friends will still be on social networks, for now.
…what the IndieWeb movement is about: Creating tools that enable a decentralized, people-focused alternative to the corporate web, putting you back in control, and building an active community around this idea of independence.
Wilson Miner put it in his 2011 Build conference talk:
“The things that we choose to surround ourselves will shape what we become. We’re actually in the process of building an environment, where we’ll spend most of our time, for the rest of our lives.”
This also reminds me that I ought to swing by room 3420 in Boelter Hall on my way to math class this week. I forget that I’m always taking classes just a few floors away from the room that housed the birth of the internet.