Should swimming be banned?

Many more drown in New Zealand than die at work. There is heavy regulation of workplace risks. The same cannot be said for people to jump into beaches, rivers and streams. Many more go to work each day as compared to going swimming.

Source: Annual Statistics » DrownBase and Workplace fatalities by industry | Worksafe.

Voluntary assumption of risk cuts no ice with those that champion stronger occupational health and safety regulation. The approach to water safety is near laissez-faire both in terms of the rules and enforcement and certainly in terms of success in reducing drownings. The large variations in annual drownings suggest that human behaviour has a lot to do with drownings.

Workplace fatalities by industry in New Zealand since 2010

Working in forestry and agriculture is dangerous in New Zealand. There are only about four and half thousand agricultural workers but five to 10 die every year. Agriculture is also relatively dangerous. The Pike River mining disaster killed 29 in 2010. Construction, a large industry, also has a number of fatalities.

image

Source: Workplace fatalities by industry | Worksafe.

image

Source: Workplace fatalities by industry | Worksafe.

.

A Day in the Life of Americans

https://twitter.com/freakonometrics/status/677569383108100096

Why aren’t female wages stagnating?

Occupational Health & Safety has come a long way

The reverse gender gap in clothes prices

Crime way down in NYC

https://twitter.com/hunterwalk/status/681288055395778560

The reversing gender gap in marathon completion

A surprising number of clergy are not working on Christmas Day

Occupational Health & Safety has come a long way

Loury and McWhorter tackle the racial mismatch hypothesis and Affirmative Action

https://twitter.com/SteveStuWill/status/679091518267879425

Do they have academic tenure anymore?

https://twitter.com/mileskimball/status/541219532032212993/photo/1

Education and the risk of criminality

@TransportBlog @JulieAnneGenter community outrage at new bike lane death trap in Island Bay

Source: Wellington’s Island Bay cycleway has left residents confused and angry | Stuff.co.nz.

We drove past this bicycle death trap in island Bay in Wellington the other weekend. The first thing I noticed is a lot of bicycle will be sideswiped as passengers in cars open their left door not expecting anybody to be there. The bike lane also narrows the road from buses. Residents now have a lot of trouble safely getting out of their houses without both are running over bicyclists and seeing oncoming cars. Further proof that bikes are a killer green technology.

Source: Wellington’s Island Bay cycleway has left residents confused and angry | Stuff.co.nz.

Part of the nonsense behind this death trap is that more people ride their bike if they can do so safely such as on this death trap according to the local mayor:

Wellington Mayor Celia Wade-Brown acknowledged the recent social media backlash – which she dubbed “bike-lash” – but was confident it would simmer down once the cycleway was complete.

She pointed to the council’s research, which showed 76 per cent of Wellingtonians would cycle more if cycling was safer.

“And I think a scientific survey is a clearer indication [of Wellingtonians’ views on the cycleway] than the number of social media likes or dislikes.”

Obviously our local mayor has not heard of the social acceptability bias that arises when answering questions about whether or whether not they are use fashionable forms of transport.

The number of people in Wellington taking a bicycle to work in Wellington is trivial. Three times as many walk to work as take a bike to work in Wellington.

Source: New Zealand Transport Agency.

The Twitter Left mantra as championed by the Greens and Transport Blog is that it would all be so much different we invested a little bit more in public transport is a myth.

The experience in Europe and North America is that if you make buses free, the cheapies that currently bike take the bus or train. In addition, the street people find it comfortable warm place to hang out when during the day which drives the regular customers away.

A 2002 report released by the National Center for Transportation Research indicated that the lack of fares attracted hordes of young people, who brought with them a culture of vandalism, graffiti, and bad behavior—which all necessitated costly maintenance. The lure of “free,” the report implied, attracted the “wrong” crowd—the “right” crowd, of course, being wealthier people with cars, who aren’t very sensitive to price changes.

@geoffsimmonz The family wage gap or why are the Swiss implicitly biased in favour of single women but heavily against married women?

The gender wage gap from married women is 3 to 30 times that of single women. This was actually have a positive gender wage gap.

image

Source: IZA World of Labor – Equal pay legislation and the gender wage gap.

The smallest of the gender wage gap for single women, which has been well known for a long time, does not bode well for those such as Geoff Simmons who argue that implicit bias is an important driver of the gender pay gap.

Why are there vast differences in this implicit bias against women between countries. Why is this implicit bias so much stronger against married women? Having an implicit bias against married women but not single women is a very odd implicit bias.

These puzzles are before considering the information extraction problem facing employers who are implicitly bias against married women. Employers do not know whether an applicant is married or single and pay less accordingly. As Polachek observed:

Corporate discrimination cannot explain these wage patterns. Were corporate discrimination the reason, one would need an explanation why corporations hardly discriminate against single women, but discriminate enormously against married women, especially married women with children spaced widely apart, given that they often cannot legally ask questions about marital status in employment applications.

Even if they could get this marital status information, they wouldn’t have information on the number and spacing of one’s children. But even if supervisors knew number of children, they are far less knowledgeable about children’s ages, and hence less likely to know much about child spacing.

Employers who are slightly less implicitly biased against married women would have a far higher quality recruitment pool which gives them a competitive advantage. Employers who are implicitly biased against women and married women are less likely to survive in competition.

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