“I really feel like we’ve lost about ten years of innovation. I feel like this last decade has been pretty boring for the web.”
He’s right. Think about the development of internet in decade-long chunks. In 1988, most of us hadn’t even heard of the internet, but by 1998, email was widespread and websites commonplace. Fast forward another ten years to 2008 and broadband had become the norm. Google and Facebook were also achieving default status – indeed pretty much everything that dominates digital in 2018 was in place ten years ago.
Thanks to the smartphone, the internet has gone fully mobile over the last decade – but it’s still basically the same internet, only on a smaller screen.
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Alexa, how do we disrupt the tech lords?
Technology
#25
Stop fiddling with the gene machine
The first ‘gene edited’ babies were born in China this year. But as Veronique Greenwood reminds us in a piece for Quanta Magazine, an individual’s genome is not so much a list of instructions as a complex machine whose different parts interact in complicated ways that we’re nowhere near to fully understanding:
“Joel Bader, a systems biologist at Johns Hopkins University, says… that ‘[The] closer we are able to look, the more we are able to see that perturbing one gene or pathway has effects that propagate throughout the entire system,’…”
Thanks to techniques like CRISPR, we can knock-out and splice-in genes with ever greater precision. But though we know how to perform these manipulations, to a very large extent we don’t know what we’re doing. That’s worth bearing in mind before we genetically re-engineer our descendants.
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Why much of genetic engineering remains a mystery
Technology
#24
Sheffield A and Sheffield B
The great geographical divides that define the politics of our time – for instance between ‘red state’ America and the coastal cities, or between the Eurozone’s core and periphery – don’t always involve great distances. Sometimes, the same applies to a single city. In an eye-opening piece for CityMetric, Sam Gregory provides a guided tour of what he calls “Sheffield A” and “Sheffield B”:
“Uniquely for a British city, where pockets of deprivation are usually nestled uncomfortably between well-to-do suburbs, Sheffield’s dividing line runs directly through the city like the Berlin Wall. How did this happen?”
Gregory describes a bus route across the city where, between the neighbourhoods at each end, “average life expectancy falls by 7.5 years for men and almost 10 years for women”.
There’s no physical barrier between the two Sheffields, but that doesn’t stop them from being worlds apart.
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What do Sheffield and Paris have in common?
Flyover Country
#23
The birth of two nations
In the New York Times Quoctrung Bui and Claire Cain Miller describe another great divide, this time among American women:
“First-time mothers are older in big cities and on the coasts, and younger in rural areas and in the Great Plains and the South. In New York and San Francisco, their average age is 31 and 32. In Todd County, S.D., and Zapata County, Tex., it’s half a generation earlier, at 20 and 21…”
Across the nation as a whole, the average age of first birth is now 30.3 for college educated women but 23.8 for those without a college degree.
When Benjamin Disraeli wrote about the two nations of Victorian England – “the rich and the poor” – he said that they were “as ignorant of each other’s habits, thoughts, and feelings, as if they were dwellers in different zones, or inhabitants of different planets; who are formed by a different breeding, are fed by a different food, are ordered by different manners…”
In a different time and place, it’s still true.
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America: the birth of two nations
Flyover Country
#22
The great GDP con
Over the last few decades, there’s been a marked slow down in economic growth across the West. However, things could be even worse than the official GDP figures would lead us to believe.
In an article for the Global Poverty and Inequality Dynamic Research Network, Jacob Assa and Ingrid Harold Kvangraven show that some dubious tweaks to the way the figures are calculated mean that we’re not as rich as we think we are.
Not only does GDP include the rent paid by tenants to landlords, it also includes the imaginary or ‘imputed’ rent that “homeowners would have paid to a landlord had they [the landlord] owned their home…”
This means that escalating rents and runaway house prices – which contribute nothing to productivity and make a lot of people poorer – shows up as a boost to GDP.
No wonder governments are so reluctant to solve the housing crisis.
#21
Families need fathers and so do entire neighbourhoods
The inequality in life outcomes of black boys and white boys in America is well known. But a new study featured in the New York Times shows just how pervasive the effect is – it doesn’t matter how rich the household or how ‘good’ the neighbourhood, black boys are more likely to end up in a lower income band as adults than are white boys (and correspondingly less likely to end up in a higher band).
And yet the fine-grained geographical detail of the study did pick out certain neighbourhoods where the effect was much weaker. What was it that made these areas different? Crunching the data revealed various factors, but the most significant had to do with fatherhood:
“…these pockets… were the places where many lower-income black children had fathers at home. Poor black boys did well in such places, whether their own fathers were present or not.
“‘That is a pathbreaking finding,’ said William Julius Wilson, a Harvard sociologist whose books have chronicled the economic struggles of black men.”
Fathers aren’t just good for their own families, they can also provide boys in other families with “role models and mentors”.
Now read The Year UnPacked 20-11
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