Seth Godin doesn't care about SEO savvy headlines and you shouldn't either. Many of my journalist colleagues disagree and I get it. We are only as clickable as our cleverest headline written to bring more and more eyeballs to the table. I am no Seth Godin but I also prefer headlines that mean something to me not the Google algorithms that bring short term interest. A stray piece of conversation or a snippet from a podcast that catches my attention will also do just nicely.
Look down the list at the last few posts--Go Fund Yourself, A Tabula Rasa in Data Literacy, and Generic but Ambitious--what the hell am I talking about? I don't know. Maybe grab a coffee or tea and take a look. Seth teaches us not to be the thing for everyone--just some people.
If you prefer provocative headlines, I didn't make this for you.
Even if you don't think of yourself as a marketer--you are a marketer. Maybe you are the product or maybe your currency is knowledge or expertise but make no mistake we are all selling something.
Seth teaches us how to be effective. If you are indeed bringing value to the table you need to find your tribe, stand in front and say--here. I made this for you. This particular blog captured my attention. Not because I need something shiny to look at like a buzz worthy headline but because I trust I will learn something.
And when does it get boring? is well worth the quick read. I think Seth and I share short attention spans. In fact, I agree with his method--read along until you get the joke. So why not keep it succinct and to the point?
Almost no one who takes an intro to economics course becomes an economist. One reason might be that within a few days of starting the class, it becomes abstract, formula-based and dull.--Seth Godin
I think I surprise many when they find out I am a data analyst. I have always had a wide scope of general interests and this serves me well. Believe it or not, there aren't that many of us that can work the entire end to end strategic data process. We need to know the language, the challenges, and the opportunities. Not everyone needs to be niche driven or highly specific. If you are reading this as one of my data friends or colleagues, here is the perfect podcast for you, Should I Become More Technical or Business Focused in Data Science Career.
I began this post in response to a question I field pretty regularly. How much statistics do I need to become a data scientist/analyst/professional? I can't answer that question. Textbooks cram information into your head for an exam. She/he/they who passes the most exams wins and can be perhaps a statistician, mathematician, computer scientist. You need to ask yourself what the long road looks like for you. Where do you want to work? What do you want to be doing?
I have completed numerous classes in statistics but I am not a statistician. Weirdly I am also a member of the American Statistical Association. I need to be. I need to keep learning and applying rigor and comprehension to technical topics.
Once you get out in the real world and discover your unique flair and contribution, the trick is to remain curious. To use the tools that give "us a chance to understand and to figure things out."
Because a testing regime is in place, particularly now when so many other tropes in the education-industrial complex are disrupted, the textbook authors and administrators work together to skip the ‘fluff’ and go straight to the stuff that’s easy to test.--Seth Godin
For example, when I think about data modeling and trying figure out the shape of my data, I think about linear, sinusoidal, or quadratic equations. These questions jump from the pages of math books into practical applications when you have variables to consider and relationships to determine.
Am I the only one considering positive first derivatives when looking at the COVID-19 curves? All the curves were getting bigger but we needed to consider the rates. They can stay the same, increase slowly, or represent what actually was occurring--the rate was increasing quite rapidly. All applications of the math concepts we were forced to memorize to a test in the absence of how they are applied in the real world.
When my boys were small occasionally one or both of them would complain about being bored. My response rarely wavered. I would tell them, "That doesn't sound like being bored, that sounds like a lack of imagination."
And off we would go to have an adventure.
Speaking of adventures...
May 15th we are having a free lunch and learn about demographic data. Register at link Getting comfortable with demographic data.
The Last Days of the Art World … and Perhaps the First Days of a New One Life after the coronavirus will be very different.
This optimism has all always made me sure that the art world could, and would, survive anything. But last week, that optimism started to die. Even an art-lover lifer like me has to admit much of the art world infrastructure feels like it’s already in the balance. Some of it may be gone even now. In three months, or six months, or — God forbid — 12 or 18 (there has never been a vaccine for a coronavirus)? There will be galleries on the other side of this chasm, and museums, and artists making work, of course. But I worry that such a sundering will only exacerbate the inequalities that more and more dominate this universe, with megagalleries and art stars surviving and the gap between them and everyone else only widening, rendering the scrappier artists and galleries something close to invisible.--Jerry Saltz
Behind the scenes within our data communities we are being cautioned--rightfully so I might add. For once, data is plentiful and mostly ready for primetime. Professionals with the skills to source and clean data for analysis are left behind as data are cast into the miasma for interpretation.
Epidemiology has a unique vocabulary and science to explain how we talk about what is known and what is yet to be discovered. My college text book, Epidemiology for Public Health Practice, defines epidemiology as the following, "a discipline that describes, quantifies, and postulates causal mechanisms for health phenomena in populations."
A later version (5th edition) says the following, "Epidemiology is concerned with the occurrence, distribution, and determinants of "health-related states or events" (e.g., health and diseases,, morbidity, injuries, disability, and mortality in populations). Epidemiologic studies are applied to the control of health problems in populations. The key aspects of this definition are determinants, distribution, population, and health phenomena (e.g., morbidity and mortality)."
I don't know about you but the data we are viewing is often not comparable (confirmed cases vs. actual cases, number of deaths vs. case fatality rates) and most importantly we have no best guess for denominators when testing is sporadic and inconsistent. Limited tests meant subjective determinations of who gets tested. We have already seen the distortion as more data is collected.
What we need are less graphics showing the world is on fire and more data collection from asymptomatic members of the population to measure how the virus moves across the entire population. Less data on race and more on structural determinants that underly data collection efforts. It is sad but easy to count mortality rates but we are failing on morbidity attributed to this novel virus.
There are a few sounding the alarm to be better stewards of data and to yell questions through the horror we are experiencing. I leave the data collection to them and look to those of us continuing our data centric work through it all to spot the outliers and begin looking for the tell-tale signs of wider data.
Over the last decade or so, the art world in peril has seemed to lose the ability to adapt. Or, rather, it now seems able to adapt only in one way, no matter the circumstances: by growing larger and busier. Expansion and more were the answers to everything.
The bolded text in the quote above is my own. Substitute data for art--"it’s about eccentricity, risk, resistance, and adaptation." Adaptation based on accumulation and analyses of new information.
I bristled listening to NPR asking for data siloed by race. What are we measuring? If you want to examine biology then examine biology--not race. If you want to examine social inequalities give them a name--not race.
The heart surrenders everything to the moment. The mind judges and holds back. Ram Dass
Things are often okay--until they are not. I abruptly vacated my month long idyllic trip to an island off the coast of North Carolina. Not because I felt imminent danger but I knew something was off. Rumors were swirling about potential COVID19 positive inhabitants hiding out on the island, the state shutting down the ferry service, or even worse--folks high up on legislative ladder trying to hang on to the farce as long as feasible.
The island had been battered by hurricanes and now North Carolina is coping with visitation by a plague.
Done and done. We would be stranded.
I was employed by a top Pharmaceutical company during 9/11 so although there was the right amount of fear and reverence--ginned up by being stowed under staircases until the final plane was accounted for--this feels different. We are all in the same boat, but no idea where we are headed.
Those of us with epidemiology chops know when we are being fed pollyanna inspired bunk. It isn't good news that there are few diagnosed cases if we have no idea how many people have been tested. Or how many tests are available. Or the limits of an already strained healthcare system. Or the plans for managing the onslaught of morbidity arriving within the next 2 weeks...
The Johns Hopkins COVID19 Resource Interactive Map
The sheer volume and abundant distortion of claims made in the absence of unbiased and careful review mislead and confuse many healthcare professionals attempting to decide which treatment is best for which patients.
I think we all need a tabula rasa or clean slate. Let's start with what we do know and work from there.
Think, "less Eureka" and more "what is that?"
I am often reminded of continuing medical education where writers are encouraged to step in line to join the lucrative field of writing need assessments for educational funding.
A pharmaceutical company will pay a premium for educational interventions that pave the way for their class of drugs or often more boldly--their specific drug.
There are not many eureka moments left in healthcare. We need to question the questions and challenge status quo answers.
Join me, won't you?
Metaphors of a Magnifico by Wallace Stevens (1879-1955)
Twenty men crossing a bridge,
Into a village,
Are twenty men crossing twenty bridges,
Into twenty villages...
The article in the New York Times doesn't seem to like the wallpaper and can't see beyond the hype to actually look at the merits or opportunities to query the data in a way that might be meaningful.
I am not blaming the brilliant author because let's face it--he didn't create the headline. But I am blaming the metric--avoiding repeat hospitalization or hospital readmission rates. Maybe we should look earnestly into better measures for this highly edited study population.
at least one hospital admission at any of four Camden-area hospital systems in the 6 months before the index admission,
at least two chronic conditions;
and at least two of the following traits or conditions:
use of at least five active outpatient medications,
difficulty accessing services,
lack of social support,
coexisting mental health condition
active drug habit, and homelessness.
oncologic care or had been admitted for a surgical procedure for an acute health problem, for mental health care (with no coexisting physical health conditions), or for complications of a progressive chronic disease for which limited treatments were available.
The writer is an explorer. Every step is an advance into new land--Ralph Waldo Emerson
Now, it’s interesting how subtle and yet how formal our identities are, and how much we’re attached to them, because of how much we are used to our cards of identity.
My name, social security number, my zip code, my address, my occupation—a whole set of labels that define who we think we are. When you and I are born, very shortly after we’re born, we go into ‘somebody-training.’ We start to be trained to become somebody.
And we’re trained by other people who know who they are, and they’re going to teach us who we are—very well-meaning, I mean—so that we can function in the world by being somebody.-- Ram Dass 1976
The newspaper does everything for us. It runs the police force and the banks, commands the militia, controls the legislature, baptizes the young, marries the foolish, comforts the afflicted, afflicts the comfortable, buries the dead and roasts them afterward.
I don't eat as many of them as I used to but I never grow tired of donuts. I brought a few dozen munchkins into a Python workshop I was attending in Midtown and although originally waved off as too indulgent--eventually everyone grabbed a donut--or two.
Donuts. Is there anything they can't do?--Matt Groening
Is it just me or does this mirror data strategy in general? Once thought to be the domain of IT folks or computer science--now we are all empowered to take a nibble.
Today has been a particularly good day. One of the days where I had a bit of freedom--meaning I didn't have a face-to-face meeting scheduled either in person or remotely. I like keeping my camera closed all day.
There are books to be read and more than a few presentations to finalize. Just like makeup over 50--less is more. I prefer to seed the ideas and then switch over to conversations.
I feel the same way about exploring categorical variables in spaces where we reflexively rely on numerics. What can they tell us about a population, community, or individual?
data & donuts
"As digital technologies have enabled a broadening of economic and social incorporation, the possibilities for classifying, sorting, slotting and scaling people have also grown and diversified. New ways of measuring and demonstrating merit have sprung up, some better accepted than others. Institutions, both market and state, find themselves compelled to build up and exploit this efficient, proliferating, fine-grained knowledge in order to manage individual claims on resources and opportunities.
This process, she argues, creates new social demands for self-care and individual fitness that possibly erode the universal and solidaristic basis upon which the expansion of citizenship historically thrived."Professor Marion Fourcade--London School of Economics (LSE) Public Lectures & Events.
"...deprivation comes in many forms and use a new multi-dimensional measure that not
only considers income but also education, electricity, water and sanitation"--New ways of looking at poverty