Stat of the Week Competition Discussion: September 17 – 23 2016
If you’d like to comment on or debate any of this week’s Stat of the Week nominations, please do so below!
If you’d like to comment on or debate any of this week’s Stat of the Week nominations, please do so below!
Q: Did you see intelligence is inherited just from mothers?
A: Yeah, nah.
Q: No, seriously. It’s in Stuff. “Recent scientific research suggests that rather than intelligence being genetically inherited from both their parents, it comes from their mother.”
A: I don’t think so.
Q: You’re objecting to their definition of intelligence, aren’t you?
A: Not this time. For today, I’m happy to stipulate to whatever their definition is.
Q: But they have Science! The “intelligence genes originate from the X chromosome” and “Some of these affected genes work only if they come from the mother. If that same gene is inherited from the father, it is deactivated.”
A: That sounds like two different explanations grafted together.
Q: Huh?
A: Some genes are imprinted so the paternal and maternal copies work differently, but that’s got nothing to do with the X chromosome.
Q: Why not?
A: Because any given cell has only one functioning X chromosome: for men, it comes from your mother, for women, it’s a random choice between the ones from each parent.
Q: Ok. But are all the intelligence genes on the X chromosome?
A: No. In fact, modern studies using hundreds of thousands of genetic variants suggest that genes contributing to intelligence are everywhere on the genome.
Q: But what about the ‘recent research’?
A: What recent research? I don’t see any links
Q: Maybe they’re in the blog post that the story mentions but doesn’t link to. Can you find it?
A: Yes.
Q: And the references?
A: Mostly in mice.
Q: But there’s one about a study in Glasgow, Scotland. In nearly 13,000 people.
A: There is, though it’s actually an analysis of the US National Longitudinal Study of Youth. Which, strangely enough, did not recruit from Glasgow, Scotland. And less than half of the 12,686 participants ended up in the analysis.
Q: Whatever. It’s still recent research?
A: Ish. 2006.
Q: And it found mother’s intelligence was the most important predictor of child’s intelligence, though?
A: Yes, of the ones they looked at.
Q: So, more important than father’s intelligence?
A: That wasn’t one of the ones they looked at.
Q: “Wasn’t one of the ones they looked at”
A: Nope.
Q: Ok. So is there any reason for saying intelligence genes are on the X chromosome or is it all bollocks?
A: Both.
Q: ಠ_ಠ
A: Especially before modern genomics, it was much easier to find out about the effects of genes on the X chromosome, since breaking them will often cause fairly dramatic disorders in male children.
Q: So it’s not that more intelligence-related genes are on the X chromosome, just that we know more about them?
A: That could easily be the case. And just because a gene affects intelligence when it’s broken doesn’t necessarily mean small variations it in affect normal intelligence.
Q: But wouldn’t be it great if we could show those pretentious ‘genius’ sperm-donor organisations were all useless wankers?
A: On the other hand, we don’t need more reasons to blame mothers for their kids’ health and wellbeing.
Since we have another episode of democracy coming on, there are starting to be more stories about polls for me to talk about.
First, the term “bogus”. Two people, at least one of whom should have known better, have described poll results they don’t like as “bogus” recently. Andrew Little used the term about a One News/Colmar Brunton poll, and Nick Leggett said “If you want the definition of a bogus poll this is it” about results from Community Engagement Ltd.
As one of the primary NZ users of the term ‘bogus poll’ I want it to mean something. Bogus polls are polls that aren’t doing anything to get the right answer. For example, in the same Dominion Post story, Jo Coughlan mentioned
“…two independent Fairfax online Stuff polls of 16,000 and 3200 respondents showing me a clear winner on 35 per cent and 50 per cent respectively.”
Those are bogus polls.
So, what about the two Wellington polls cited as support for the candidates who sponsored them? Curia gives more detail than the Dominion Post. The results differ by more than the internal margin of error, which will be partly because the target populations are different (‘likely voter’ vs ‘eligible’), and partly because the usual difficulties of sampling are made worse by trying to restrict to Wellington.
It wouldn’t be unreasonable to downweight the poll from Community Engagement Ltd just because seem to be a new company, but the polls agree the vote will go to preferences. That’s when things get tricky.
Local elections in NZ use Single Transferable Vote, so second and later preferences can matter a lot. It’s hard to do good polling in STV elections even in places like Australia where there’s high turnout and almost everything really depends on the ‘two-party preferred’ vote — whether you rank Labor above or below the L/NP coalition. It’s really hard when you have more than two plausible candidates, and a lot of ‘undecided’ voters, and a really low expected turnout.
With first-past-the-post voting the sort of posturing the candidates are doing would be important — you need to convince your potential supporters that they won’t be wasting their vote. With STV, votes for minor candidates aren’t wasted and you should typically just vote your actual preferences, and if you don’t understand how this works (or if think you do and are wrong) you should go read Graeme Edgeler on how to vote STV.
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 | |
---|---|---|---|
Raiders | 9.72 | -0.55 | 10.30 |
Storm | 9.39 | 4.41 | 5.00 |
Cowboys | 8.73 | 10.29 | -1.60 |
Panthers | 6.44 | -3.06 | 9.50 |
Broncos | 5.15 | 9.81 | -4.70 |
Sharks | 4.73 | -1.06 | 5.80 |
Roosters | -0.08 | 11.20 | -11.30 |
Eels | -0.82 | -4.62 | 3.80 |
Bulldogs | -1.03 | 1.50 | -2.50 |
Titans | -1.31 | -8.39 | 7.10 |
Rabbitohs | -1.55 | -1.20 | -0.30 |
Sea Eagles | -2.83 | 0.36 | -3.20 |
Wests Tigers | -4.05 | -4.06 | 0.00 |
Warriors | -6.26 | -7.47 | 1.20 |
Dragons | -7.44 | -0.10 | -7.30 |
Knights | -17.13 | -5.41 | -11.70 |
So far there have been 196 matches played, 126 of which were correctly predicted, a success rate of 64.3%.
Here are the predictions for last week’s games.
Game | Date | Score | Prediction | Correct | |
---|---|---|---|---|---|
1 | Broncos vs. Titans | Sep 09 | 44 – 28 | 8.40 | TRUE |
2 | Raiders vs. Sharks | Sep 10 | 14 – 16 | 9.60 | FALSE |
3 | Storm vs. Cowboys | Sep 10 | 16 – 10 | 3.20 | TRUE |
4 | Panthers vs. Bulldogs | Sep 11 | 28 – 12 | 6.10 | TRUE |
Here are the predictions for Finals Week 2. 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. Broncos | Sep 16 | Cowboys | 6.60 |
2 | Raiders vs. Panthers | Sep 17 | Raiders | 6.30 |
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 | |
---|---|---|---|
Canterbury | 19.50 | 12.85 | 6.60 |
Taranaki | 8.22 | 8.25 | -0.00 |
Auckland | 6.91 | 11.34 | -4.40 |
Tasman | 6.05 | 8.71 | -2.70 |
Counties Manukau | 3.20 | 2.45 | 0.80 |
Wellington | 2.95 | 4.32 | -1.40 |
Otago | 2.25 | 0.54 | 1.70 |
Waikato | -1.25 | -4.31 | 3.10 |
Bay of Plenty | -3.56 | -5.54 | 2.00 |
Hawke’s Bay | -5.61 | 1.85 | -7.50 |
North Harbour | -6.65 | -8.15 | 1.50 |
Manawatu | -7.33 | -6.71 | -0.60 |
Southland | -11.74 | -9.71 | -2.00 |
Northland | -16.46 | -19.37 | 2.90 |
So far there have been 30 matches played, 24 of which were correctly predicted, a success rate of 80%.
Here are the predictions for last week’s games.
Game | Date | Score | Prediction | Correct | |
---|---|---|---|---|---|
1 | Hawke’s Bay vs. Auckland | Sep 07 | 24 – 25 | -8.60 | TRUE |
2 | Taranaki vs. Southland | Sep 08 | 30 – 14 | 25.70 | TRUE |
3 | Bay of Plenty vs. Northland | Sep 09 | 52 – 25 | 14.70 | TRUE |
4 | Counties Manukau vs. Wellington | Sep 09 | 27 – 28 | 5.40 | FALSE |
5 | North Harbour vs. Manawatu | Sep 10 | 29 – 25 | 4.80 | TRUE |
6 | Otago vs. Tasman | Sep 10 | 30 – 27 | -0.40 | FALSE |
7 | Canterbury vs. Hawke’s Bay | Sep 11 | 63 – 7 | 23.90 | TRUE |
8 | Auckland vs. Waikato | Sep 11 | 32 – 35 | 16.20 | FALSE |
Here are the predictions for Round 5. 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 | Counties Manukau vs. Taranaki | Sep 14 | Taranaki | -1.00 |
2 | Southland vs. Hawke’s Bay | Sep 15 | Hawke’s Bay | -2.10 |
3 | Tasman vs. Northland | Sep 16 | Tasman | 26.50 |
4 | Wellington vs. Bay of Plenty | Sep 16 | Wellington | 10.50 |
5 | Otago vs. North Harbour | Sep 17 | Otago | 12.90 |
6 | Manawatu vs. Canterbury | Sep 17 | Canterbury | -22.80 |
7 | Auckland vs. Counties Manukau | Sep 18 | Auckland | 7.70 |
8 | Waikato vs. Taranaki | Sep 18 | Taranaki | -5.50 |
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 | |
---|---|---|---|
Lions | 10.57 | 9.69 | 0.90 |
Western Province | 4.24 | 6.46 | -2.20 |
Blue Bulls | 2.78 | 1.80 | 1.00 |
Cheetahs | 1.65 | -3.42 | 5.10 |
Sharks | 1.04 | -0.60 | 1.60 |
Griquas | -9.94 | -12.45 | 2.50 |
Pumas | -12.14 | -8.62 | -3.50 |
Cavaliers | -13.34 | -10.00 | -3.30 |
Kings | -16.30 | -14.29 | -2.00 |
So far there have been 23 matches played, 15 of which were correctly predicted, a success rate of 65.2%.
Here are the predictions for last week’s games.
Game | Date | Score | Prediction | Correct | |
---|---|---|---|---|---|
1 | Lions vs. Western Province | Sep 09 | 58 – 32 | 7.80 | TRUE |
2 | Griquas vs. Cavaliers | Sep 10 | 46 – 22 | 4.80 | TRUE |
3 | Sharks vs. Cheetahs | Sep 10 | 30 – 38 | 4.40 | FALSE |
4 | Pumas vs. Blue Bulls | Sep 10 | 14 – 41 | -9.40 | TRUE |
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 | Sharks vs. Kings | Sep 15 | Sharks | 20.80 |
2 | Blue Bulls vs. Griquas | Sep 16 | Blue Bulls | 16.20 |
3 | Lions vs. Cheetahs | Sep 17 | Lions | 12.40 |
4 | Western Province vs. Pumas | Sep 17 | Western Province | 19.90 |
I wrote last week about the importance of links. Having links doesn’t guarantee the claims are justified, but it does make it a lot easier to check. As an exhibit, consider today’s Stuff story about “Healing Foods for Spring Allergies“, which has lots of links.
There’s nothing wrong with these foods from a health point of view. I like chicken soup, although I prefer it with lemongrass, lime, and chili. But you’d expect the links to be to the strongest evidence available. And the disappointing thing is, they might well be.
So, there’s a new analysis in Nature Geoscience, with a story on Radio NZ, about how some earthquakes do appear to be linked to tides.
There’s a couple of things to note, though. First, the correlation is only found for the very largest quakes (in their analysis, they found it for magnitudes 8.2 or higher, and possibly for magnitudes 7.5 and higher). Second, they needed to look not just at the position of the moon, but at the orientation of the tidal stress relative to the fault line that slipped. Thirdly, the correlation isn’t anywhere near big enough to use for predictions.
Each week, we would like to invite readers of Stats Chat to submit nominations for our Stat of the Week competition and be in with the chance to win an iTunes voucher.
Here’s how it works:
Next Monday at midday we’ll announce the winner of this week’s Stat of the Week competition, and start a new one.