April 21, 2026

Green and full of terrors

If you want to get a health story into the papers it helps if it sounds controversial and it especially helps if it tells people they can eat food they want to eat: thus the frequency of stories about chocolate, wine, and beer.

This week’s version is a not-very-detailed abstract from a conference in the US that purportedly says healthy food gives you lung cancer. And when I say that’s what the study purportedly shows, I mean:

  • MSN: Eating fruits, vegetables and whole grains may increase chance of early onset lung cancer
  • The Independent: Eating more fruits and vegetables could put you at risk for this cancer
  • Newsweek: Fruits and Vegetables May Increase Your Cancer Risk, New Research Shows
  • and even the researchers’ own press release: Eating fruits, vegetables and whole grains may increase chance of early onset lung cancer

One exception is Ars Technica, headlining the story as Absurd study suggests eating fruits and vegetables leads to cancer.

The press release says

“Our research shows that younger non-smokers who eat a higher quantity of healthy foods than the general population are more likely to develop lung cancer,” said Jorge Nieva, MD,

and, no, it really doesn’t show that.  For a start, we shouldn’t really be advertising  health advice to the general public based on just a conference abstract, with so little detail. In this case even the limited detail we have is enough to say that this shouldn’t be a big health story.

The research is part of a project to study lung cancer in younger people who don’t smoke. It used to be that nearly all lung cancer cases were in older people who had been smokers, but one of the victories of global public health is to reduce the number of cases like this.    Clearly, if someone has lung cancer at age 30 it isn’t because they’ve been smoking for fifty years — and in fact, many of them haven’t smoked at all. So, there’s interest in studying what causes their lung cancer.  The Epidemiology of Young Lung Cancer study wants to look at genetic attributes and environmental risk factors for lung cancer before age 40.

Finding a control group is hard. You can’t just recruit a whole bunch of young people and see who gets lung cancer, because it’s an very rare disease: you won’t find anyone.  You need to look for diagnosed cases, but then you need to decide who to compare them to. In this research the people with lung cancer were compared to people in a big national survey series, NHANES, which asks about diet.

The primary reported finding is that young people diagnosed with lung cancer had healthier diets (according to one measure) than the average of the US population.  The researchers don’t say they expected to see this, and my guess is they didn’t.  Their theory is that pesticides — in some generic holistic sense — are responsible.  It’s obviously not impossible that pesticides could be carcinogenic, but this doesn’t seem like a very good way to find out. In particular, while the people in the study all have lung cancer, they don’t all have similar mutations in their tumours  — they don’t have the same sort of lung cancer — and there’s literally zero actual data on pesticides, just an assumption that they’re present in healthier food, so this isn’t picking out some sort of ultra-selective cancer effect.

Everything here is correlations, but better correlational studies with controls consistently find that people with lung cancer eat less of the fruit and vegetables and high-fibre foods than people without lung cancer (eg here). There’s a theoretical argument that a diet high in anti-oxidants might reduce the body’s ability destroy cancer, but you wouldn’t look at a small, unusual subset of lung cancers to study this question.  There are perfectly good alternative reasons why the young lung cancer patients might have healthier diets than the US average. They’re young, for a start.  They have had their cancers diagnosed early enough to end up in a study like this one, which will correlate with income and interest in medical science. They’re non-smokers.

If unreliable evidence of a healthier diet in a subset of people with lung cancer is taken as evidence of harm from pesticides, should we take evidence of a less healthy diet in other groups of people with serious illness as evidence that pesticides are beneficial?

AFL Predictions for Week 8

Team Ratings for Week 8

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Geelong Cats 25.06 26.75 -1.70
Brisbane Lions 22.02 26.20 -4.20
Western Bulldogs 20.59 26.06 -5.50
Hawthorn Hawks 20.25 22.83 -2.60
Sydney Swans 19.33 0.56 18.80
Fremantle Dockers 12.95 6.56 6.40
Adelaide Crows 12.56 15.32 -2.80
Gold Coast Suns 9.73 10.24 -0.50
Collingwood 7.16 11.76 -4.60
GWS Giants 4.07 9.54 -5.50
Melbourne Demons -1.46 1.64 -3.10
St Kilda Saints -2.87 -7.63 4.80
Carlton Blues -10.18 -4.77 -5.40
Port Adelaide Power -12.27 -14.65 2.40
North Melbourne -13.45 -21.71 8.30
Essendon Bombers -21.38 -27.89 6.50
Richmond Tigers -40.01 -29.44 -10.60
West Coast Eagles -40.10 -39.36 -0.70

 

Performance So Far

So far there have been 54 matches played, 39 of which were correctly predicted, a success rate of 72.2%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Carlton Blues vs. Collingwood Apr 16 83 – 88 -19.70 TRUE
2 Geelong Cats vs. Western Bulldogs Apr 17 131 – 56 5.30 TRUE
3 Sydney Swans vs. GWS Giants Apr 17 107 – 66 23.50 TRUE
4 Gold Coast Suns vs. Essendon Bombers Apr 18 119 – 110 48.00 TRUE
5 Hawthorn Hawks vs. Port Adelaide Power Apr 18 89 – 86 50.60 TRUE
6 Adelaide Crows vs. St Kilda Saints Apr 18 103 – 102 31.00 TRUE
7 North Melbourne vs. Richmond Tigers Apr 19 130 – 55 18.20 TRUE
8 Melbourne Demons vs. Brisbane Lions Apr 19 104 – 102 -15.20 FALSE
9 West Coast Eagles vs. Fremantle Dockers Apr 19 41 – 97 -52.40 TRUE

 

Predictions for Week 8

Here are the predictions for Week 8. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Western Bulldogs vs. Sydney Swans Apr 23 Western Bulldogs 12.30
2 Richmond Tigers vs. Melbourne Demons Apr 24 Melbourne Demons -33.60
3 Hawthorn Hawks vs. Gold Coast Suns Apr 25 Hawthorn Hawks 21.50
4 Essendon Bombers vs. Collingwood Apr 25 Collingwood -23.50
5 Port Adelaide Power vs. Geelong Cats Apr 25 Geelong Cats -26.30
6 Fremantle Dockers vs. Carlton Blues Apr 25 Fremantle Dockers 34.10
7 St Kilda Saints vs. West Coast Eagles Apr 26 St Kilda Saints 48.20
8 Brisbane Lions vs. Adelaide Crows Apr 26 Brisbane Lions 20.50
9 GWS Giants vs. North Melbourne Apr 26 GWS Giants 28.50

 

NRL Predictions for Round 8

Team Ratings for Round 8

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Panthers 14.05 8.77 5.30
Roosters 5.88 9.50 -3.60
Sharks 5.60 7.25 -1.60
Broncos 4.72 7.06 -2.30
Storm 3.44 6.96 -3.50
Warriors 2.91 -1.18 4.10
Sea Eagles 1.97 0.21 1.80
Bulldogs -0.08 2.13 -2.20
Dolphins -0.47 1.85 -2.30
Wests Tigers -1.39 -7.26 5.90
Raiders -1.72 1.62 -3.30
Rabbitohs -2.32 -5.05 2.70
Cowboys -3.12 -2.69 -0.40
Eels -4.67 -0.37 -4.30
Titans -5.40 -8.02 2.60
Knights -8.29 -14.06 5.80
Dragons -11.11 -6.72 -4.40

 

Performance So Far

So far there have been 56 matches played, 30 of which were correctly predicted, a success rate of 53.6%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Cowboys vs. Sea Eagles Apr 16 6 – 38 3.50 FALSE
2 Raiders vs. Storm Apr 17 26 – 22 -2.60 FALSE
3 Dolphins vs. Panthers Apr 17 22 – 23 -12.20 TRUE
4 Warriors vs. Titans Apr 18 28 – 20 13.50 TRUE
5 Rabbitohs vs. Dragons Apr 18 30 – 12 11.30 TRUE
6 Wests Tigers vs. Broncos Apr 18 20 – 21 -2.40 TRUE
7 Roosters vs. Knights Apr 19 38 – 24 19.30 TRUE
8 Eels vs. Bulldogs Apr 19 38 – 20 -3.60 FALSE

 

Predictions for Round 8

Here are the predictions for Round 8. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Wests Tigers vs. Raiders Apr 23 Wests Tigers 4.30
2 Cowboys vs. Sharks Apr 24 Sharks -4.70
3 Broncos vs. Bulldogs Apr 24 Broncos 8.80
4 Dragons vs. Roosters Apr 25 Roosters -21.00
5 Warriors vs. Dolphins Apr 25 Warriors 7.40
6 Storm vs. Rabbitohs Apr 25 Storm 9.80
7 Knights vs. Panthers Apr 26 Panthers -18.30
8 Sea Eagles vs. Eels Apr 26 Sea Eagles 10.60

 

Super Rugby Predictions for Week 11

Team Ratings for Week 11

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Chiefs 12.23 12.36 -0.10
Hurricanes 11.85 8.29 3.60
Blues 8.75 8.91 -0.20
Crusaders 7.59 8.41 -0.80
Brumbies 4.86 5.59 -0.70
Reds 0.41 1.74 -1.30
Highlanders -2.49 -3.06 0.60
Western Force -4.01 -6.29 2.30
Waratahs -4.81 -5.84 1.00
Fijian Drua -7.84 -7.64 -0.20
Moana Pasifika -11.97 -7.88 -4.10

 

Performance So Far

So far there have been 48 matches played, 32 of which were correctly predicted, a success rate of 66.7%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Blues vs. Highlanders Apr 17 47 – 40 17.10 TRUE
2 Waratahs vs. Moana Pasifika Apr 17 29 – 14 10.20 TRUE
3 Chiefs vs. Hurricanes Apr 18 22 – 17 5.40 TRUE
4 Brumbies vs. Fijian Drua Apr 18 28 – 33 19.50 FALSE
5 Western Force vs. Crusaders Apr 18 31 – 26 -9.30 FALSE

 

Predictions for Week 11

Here are the predictions for Week 11. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Crusaders vs. Waratahs Apr 24 Crusaders 15.90
2 Hurricanes vs. Brumbies Apr 25 Hurricanes 10.50
3 Blues vs. Reds Apr 25 Blues 11.80
4 Highlanders vs. Moana Pasifika Apr 26 Highlanders 14.50
5 Chiefs vs. Fijian Drua Apr 26 Chiefs 23.60

 

Rugby Premiership Predictions for Round 14

Team Ratings for Round 14

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Bath 13.18 10.30 2.90
Leicester Tigers 9.99 5.55 4.40
Saracens 9.45 5.03 4.40
Northampton Saints 6.61 -1.47 8.10
Bristol 4.44 3.66 0.80
Exeter Chiefs 3.73 -4.58 8.30
Sale Sharks -2.25 6.70 -9.00
Gloucester -6.50 4.13 -10.60
Harlequins -9.25 -3.02 -6.20
Newcastle Red Bulls -21.55 -18.45 -3.10

 

Performance So Far

So far there have been 65 matches played, 47 of which were correctly predicted, a success rate of 72.3%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Bristol vs. Gloucester Apr 18 53 – 12 14.10 TRUE
2 Bath vs. Harlequins Apr 19 48 – 15 28.50 TRUE
3 Exeter Chiefs vs. Northampton Saints Apr 19 28 – 35 6.20 FALSE
4 Leicester Tigers vs. Newcastle Red Bulls Apr 19 62 – 3 35.10 TRUE
5 Sale Sharks vs. Saracens Apr 20 19 – 85 4.50 FALSE

 

Predictions for Round 14

Here are the predictions for Round 14. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Newcastle Red Bulls vs. Bristol Apr 25 Bristol -19.00
2 Harlequins vs. Sale Sharks Apr 26 Harlequins 0.00
3 Northampton Saints vs. Bath Apr 26 Northampton Saints 0.40
4 Saracens vs. Leicester Tigers Apr 26 Saracens 6.50
5 Gloucester vs. Exeter Chiefs Apr 27 Exeter Chiefs -3.20

 

Top 14 Predictions for Round 22

Team Ratings for Round 22

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Stade Toulousain 14.52 11.56 3.00
Bordeaux Begles 5.42 4.78 0.60
Montpellier 4.79 -0.21 5.00
Section Paloise 4.17 2.21 2.00
Stade Rochelais 3.55 1.22 2.30
Stade Francais 3.18 -2.17 5.40
Clermont 2.82 1.88 0.90
Racing 92 1.82 1.88 -0.10
Lyon 0.23 -0.45 0.70
Toulon -0.18 3.49 -3.70
Castres Olympique -1.23 0.59 -1.80
Bayonne -2.27 1.48 -3.70
USA Perpignan -4.56 -3.37 -1.20
Montauban -19.36 -10.00 -9.40

Performance So Far

So far there have been 147 matches played, 114 of which were correctly predicted, a success rate of 77.6%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Bayonne vs. Section Paloise Apr 19 22 – 54 2.10 FALSE
2 Castres Olympique vs. Stade Toulousain Apr 19 25 – 42 -8.20 TRUE
3 Clermont vs. Lyon Apr 19 41 – 23 8.40 TRUE
4 Montauban vs. Toulon Apr 19 22 – 47 -11.70 TRUE
5 Montpellier vs. USA Perpignan Apr 19 42 – 31 16.50 TRUE
6 Stade Rochelais vs. Bordeaux Begles Apr 19 45 – 15 2.90 TRUE
7 Racing 92 vs. Stade Francais Apr 20 47 – 20 3.60 TRUE

Predictions for Round 22

Here are the predictions for Round 22. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Bordeaux Begles vs. Montpellier Apr 26 Bordeaux Begles 7.10
2 Lyon vs. Castres Olympique Apr 26 Lyon 8.00
3 Montauban vs. Racing 92 Apr 26 Racing 92 -14.70
4 Stade Francais vs. Section Paloise Apr 26 Stade Francais 5.50
5 Toulon vs. Bayonne Apr 26 Toulon 8.60
6 USA Perpignan vs. Stade Rochelais Apr 26 Stade Rochelais -1.60
7 Stade Toulousain vs. Clermont Apr 27 Stade Toulousain 18.20

United Rugby Championship Predictions for Week 16

Team Ratings for Week 16

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Bulls 9.20 8.86 0.30
Leinster 8.64 13.41 -4.80
Glasgow 6.81 6.18 0.60
Stormers 5.19 4.17 1.00
Lions 3.69 -1.19 4.90
Munster 2.31 3.65 -1.30
Ulster 1.47 -3.24 4.70
Connacht 0.89 -1.39 2.30
Sharks 0.23 1.29 -1.10
Cardiff Rugby -1.70 -2.74 1.00
Ospreys -2.64 -2.15 -0.50
Scarlets -2.79 -0.54 -2.30
Edinburgh -2.95 2.67 -5.60
Benetton -6.02 -2.32 -3.70
Dragons -10.31 -15.66 5.30
Zebre -12.02 -11.02 -1.00

 

Performance So Far

So far there have been 120 matches played, 82 of which were correctly predicted, a success rate of 68.3%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Dragons vs. Bulls Apr 18 7 – 47 -9.70 TRUE
2 Edinburgh vs. Zebre Apr 18 31 – 30 17.90 TRUE
3 Ulster vs. Leinster Apr 18 21 – 29 -4.40 TRUE
4 Stormers vs. Connacht Apr 18 24 – 33 13.60 FALSE
5 Lions vs. Glasgow Apr 19 54 – 12 0.30 TRUE
6 Scarlets vs. Cardiff Rugby Apr 19 24 – 28 2.30 FALSE
7 Benetton vs. Munster Apr 19 15 – 45 1.60 FALSE
8 Ospreys vs. Sharks Apr 19 21 – 17 4.20 TRUE

 

Predictions for Week 16

Here are the predictions for Week 16. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Cardiff Rugby vs. Ospreys Apr 25 Cardiff Rugby 2.90
2 Edinburgh vs. Sharks Apr 25 Edinburgh 3.80
3 Zebre vs. Dragons Apr 25 Zebre 5.30
4 Stormers vs. Glasgow Apr 25 Stormers 5.40
5 Lions vs. Connacht Apr 26 Lions 9.80
6 Munster vs. Ulster Apr 26 Munster 2.80
7 Benetton vs. Leinster Apr 26 Leinster -7.70
8 Scarlets vs. Bulls Apr 26 Bulls -5.00

 

April 16, 2026

Top five wealthiest?

From the NZ$ Herald New Zealand ranks among world’s top five wealthiest countries per capita in rich list report. I don’t think it really makes sense to call this a “rich list” report, but New Zealand does indeed rank “among” the world’s top five wealthiest countries (obviously we’re in fifth place, otherwise we’d be “among” the top four).

As Damien Venuto at Stuff notes, this doesn’t sound right. Is NZ really wealthier than Norway or Denmark or Japan or the UK?

The report being quoted is here; nobody links. There are at least three things going on.

First, the numbers are means when we usually prefer medians for this sort of comparison. The means are much more strongly influenced by the richest people, and also are just larger.  The use of means isn’t some evil capitalist plot by Allianz — it’s just easier to find out the mean, since you get it by taking the total and dividing by the population.  Working out the median per capita financial assets would take some serious survey-based research.  I will note that they aren’t completely clear about how they define the population, but it won’t make much difference to comparisons.

The second issue, which is important in the Stuff piece, is that a big chunk of the ‘wealth’ in New Zealand and Australia is over-valued real estate.  Real estate is problematic for wealth because it’s hard to extract the wealth that is nominally generated and use it to pay for stuff.  It’s even harder for large chunks of society to extract their real-estate wealth, since doing so would tend to bring prices back in line with reality.

A third issue, especially when comparing with the USA on one hand and the Scandinavian countries on the other hand, is what expenses need to be covered by that wealth.  In the USA, private assets pay for a larger fraction of healthcare and education than they do in New Zealand, and in turn we pay privately for more of these than they do in Norway.  When the public sector provides less, it will tend to use less  money, leaving private households more money to spend on the services they now have to buy.   The per-capita mean is not the best statistic for tracking this sort of thing: distribution of wealth and income matters.

As a final note, there is a whole chapter on distribution in the report that neither NZ paper mentioned.  The chapter isn’t very positive — inequality between between countries seems to have stopped decreasing, and it hasn’t improved within countries either.

April 14, 2026

Super Rugby Predictions for Week 10

Team Ratings for Week 10

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Chiefs 12.26 12.36 -0.10
Hurricanes 11.82 8.29 3.50
Blues 9.20 8.91 0.30
Crusaders 8.18 8.41 -0.20
Brumbies 5.76 5.59 0.20
Reds 0.41 1.74 -1.30
Highlanders -2.93 -3.06 0.10
Western Force -4.60 -6.29 1.70
Waratahs -5.05 -5.84 0.80
Fijian Drua -8.74 -7.64 -1.10
Moana Pasifika -11.72 -7.88 -3.80

 

Performance So Far

So far there have been 43 matches played, 29 of which were correctly predicted, a success rate of 67.4%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Highlanders vs. Brumbies Apr 10 10 – 14 -5.40 TRUE
2 Moana Pasifika vs. Chiefs Apr 11 17 – 62 -27.60 TRUE
3 Fijian Drua vs. Western Force Apr 11 24 – 22 0.70 TRUE
4 Hurricanes vs. Blues Apr 11 42 – 19 6.30 TRUE
5 Reds vs. Crusaders Apr 11 31 – 26 -5.20 FALSE

 

Predictions for Week 10

Here are the predictions for Week 10. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Blues vs. Highlanders Apr 17 Blues 17.10
2 Waratahs vs. Moana Pasifika Apr 17 Waratahs 10.20
3 Chiefs vs. Hurricanes Apr 18 Chiefs 5.40
4 Brumbies vs. Fijian Drua Apr 18 Brumbies 19.50
5 Western Force vs. Crusaders Apr 18 Crusaders -9.30

 

NRL Predictions for Round 7

Team Ratings for Round 7

The basic method is described on my Department home page.
Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Panthers 14.91 8.77 6.10
Roosters 6.47 9.50 -3.00
Sharks 5.60 7.25 -1.60
Broncos 4.88 7.06 -2.20
Storm 4.16 6.96 -2.80
Warriors 3.52 -1.18 4.70
Bulldogs 1.41 2.13 -0.70
Sea Eagles -0.31 0.21 -0.50
Cowboys -0.84 -2.69 1.80
Dolphins -1.33 1.85 -3.20
Wests Tigers -1.55 -7.26 5.70
Raiders -2.45 1.62 -4.10
Rabbitohs -3.05 -5.05 2.00
Titans -6.00 -8.02 2.00
Eels -6.17 -0.37 -5.80
Knights -8.88 -14.06 5.20
Dragons -10.37 -6.72 -3.70

 

Performance So Far

So far there have been 48 matches played, 25 of which were correctly predicted, a success rate of 52.1%.
Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Bulldogs vs. Panthers Apr 09 32 – 16 -13.40 FALSE
2 Dragons vs. Sea Eagles Apr 10 18 – 28 -4.90 TRUE
3 Broncos vs. Cowboys Apr 10 31 – 35 12.00 FALSE
4 Rabbitohs vs. Raiders Apr 11 34 – 36 4.90 FALSE
5 Sharks vs. Roosters Apr 11 22 – 34 1.10 FALSE
6 Storm vs. Warriors Apr 11 14 – 38 8.90 FALSE
7 Eels vs. Titans Apr 12 10 – 52 10.20 FALSE
8 Wests Tigers vs. Knights Apr 12 42 – 22 9.70 TRUE

 

Predictions for Round 7

Here are the predictions for Round 7. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Cowboys vs. Sea Eagles Apr 16 Cowboys 3.50
2 Raiders vs. Storm Apr 17 Storm -2.60
3 Dolphins vs. Panthers Apr 17 Panthers -12.20
4 Warriors vs. Titans Apr 18 Warriors 13.50
5 Rabbitohs vs. Dragons Apr 18 Rabbitohs 11.30
6 Wests Tigers vs. Broncos Apr 18 Broncos -2.40
7 Roosters vs. Knights Apr 19 Roosters 19.30
8 Eels vs. Bulldogs Apr 19 Bulldogs -3.60