Sunday 29 November 2020

Quibans 99: Bus Gate Fines

‘Bus Gates’ seem to be the new way to restrict access to certain roads.  In the past in Cambridge we had rising bollards that would disappear into the road to allow buses and emergency vehicles to pass through.  Bus Gates are ordinary roads, with lots of signs and cameras.  A new Bus Gate was installed on what had always previously been a clear section of road.  The story below is from the Cambridge News.

Thousands of fines issued to people driving through Mill Road bridge bus gate

Nearly 5,000 fines have been issued to people driving over Mill Road bridge.

From August 28 to October 16, 4,840 fines have been issued to drivers. The number of drivers themselves being issued with fines will be fewer, since one driver can receive several fines.

Since the summer, Cambridgeshire County Council has closed the bridge to all traffic except buses, cyclists, and pedestrians.

Prior to fines being issued, there was a grace period of more than two weeks when 1,630 notices were sent out to warn drivers that they were committing an offence and should they do so again, then they would face a fine.

The fine is £60, but is reduced to £30 if the motorist pays within two weeks.

More than 96 per cent of fines paid were just £30.

This means the council has made an estimated £151,008 from the partial closure of Mill Road bridge.

The council said last year money from fines was used for frontline highways maintenance.

 

You might like to present this to a class and to ask what is wrong with it.  Alternatively, the following questions could lead the students:

Q1)  Check every number.  Which ones are exact?  Which ones have been estimated by the journalist? 

Q2)  How did they do these estimations?

Q3)  Which number is definitely wrong?  Explain!

Q4)  Produce a better version of that number.

Q5)  Compare the number of fines issued to the number of notices sent out during the grace period.  What can we conclude?

 

Some possible answers follow.

A1)  “Nearly 5,000 fines” – has been rounded. 

“4,840  fines” and “1,630 notices”.  Is it suspicious that the number of fines (4,840) and notices (1,630) are both multiples of 10?  Maybe they have been rounded off?  (For both to end in a zero by chance the probability would be 1/100.)  It is possible that they are exact, though.

The numbers for the fines are accurate.

“More than 96 per cent” is an estimate, as is “an estimated £151,008”.

A2)  4,840 rounded to the nearest thousand is 5,000.

96% of the fines were £30.  Work out 96% of 4,840 and multiply that by £30.  Work out 4% of 4,840 and multiply by £60.  Add them together.  We get £151,008.

A3)  £151,008.  You can’t possibly get a number that ends in an ‘8’ by adding integer multiples of 60 and 30. 

A4)  A better answer/method would be to say: there are about 5,000 fines and almost all were £30, so that makes a total of 5,000 x £30 = £150,000.  The total is therefore an estimated £150,000 in fines.  I think this is the best estimate to give.  If you wanted to go more deeply into this we need to decide what the language means.  Can we assume “more than 96%” means it’s up to 96.5%?  (suspecting that were to be over 96.5% then it would be written as “nearly 97%?).

If so, then a lower bound would be to take 96.5% of the fines as £30 and the rest as £60.

That gives the newspaper figure as an upper bound (but it would need to be a multiple of £30) and 150,282 as the lower bound (but again – needs to be a multiple of 30).  The bounds would therefore be 150,300 and 150,990.  If we assume the 4840 has been rounded to the nearest 10 then that broadens those bounds just a little.  (To be clear, I don’t think any of this is worth doing: £150,000 is a perfectly sensible estimate here!)

A5)  The ‘grace period of more than two weeks’ was presumably there to allow those who use the road regularly to realise that they would be fined and to warn them of that.  I would expect lots of warnings during the grace period (because it was a new thing) and fewer fines when it was actually rolled out.

We need to find the rate for both numbers.  August 28 to October 16: That’s 4 days in August, 30 days in Sept and 16 days in Oct: a total of 50 days.  4,840 fines divided by 50 days gives an average of 96.8 fines per day.  (5000 divided by 50 is perhaps more sensible – giving 100 per day.)

The grace period was “more than two weeks”.  If that means 15 days then it is was 108.7 per day, if 16 days then 101.9 per day and if 17 days then 95.9 per day.

All of these values are very close to the 96.8 per day that were actually fined.  The number of people being fined each day is the same as the number of people who drove through during the grace period.  Does that mean the bus gate just isn’t working?  Or that the fines are not a deterrent?  Or that the grace period was in August, during the holiday times when the traffic was lower anyway, and that the massive increase in traffic on the roads in Sept means a smaller percentage are bursting through the bus gate? 

 

Source: https://www.cambridge-news.co.uk/news/cambridge-news/thousands-fines-issued-people-driving-19173924

Sunday 22 November 2020

Quibans 98: US Election night 2020

In this Quibans you may want to copy the images so you can project them one at a time.  The questions can then be posed verbally.

In the USA’s presidential election, because of the time differences across the country, the polls close on the east coast earlier than elsewhere and they start counting the votes and releasing the results while voting is still taking place in other states.

I expected the states in New England (the north-east of the US) to support Joe Biden, so I was very surprised in the early hours of the following morning to see, on the election webpage of the Wall Street Journal, this (as a ticker running across the screen):


Q1) What does this mean?  And what doesn’t it mean?

A1) It would be usual to think of this as “Trump has 23.1% more than Biden”.  But we need to be careful.  If Biden has 100,000 votes, does that mean Trump has 123,100 votes?  Or does it mean that Trump’s lead divided by the total number of votes cast is 23.1% ?  We would usually refer to the latter as a lead of “23.1 percentage points” to avoid confusion.

After my surprise at this huge lead, I clicked on the image of the state of New Hampshire to get further information:



Q2) What is going on?  What do you notice?  What is strange?  What can you work out?

A2) So far, 26 votes have been counted!  Just 26.  And 16 of those went to Trump, while only 10 were for Biden. 

The difference between 61.5% and 38.5% is 23.0% - so there must be some rounding involved.

16/26 = 0.61538…, and 10/26 = 0.384615…, so Trump’s figure has been rounded down and Biden’s rounded up, and when we subtract we get 0.230769…, which rounds to 23.1

An alternative way to get this value is to do 6/26 (where the numerator is the difference between 16 and 10).

It says that 1.0% of the expected total vote has been reported.  If it’s exactly 1% then we would expect 2600 votes to be cast in the state of New Hampshire altogether.  Using the upper and lower bounds of 1.0% we get:

26/0.0095 = 2736.8 – so the upper bound for the total number of votes is 2736 (mustn’t round up!)

26/0.0105 = 2476.1 – so the lower bound for the total number of votes is 2477 (must round up!)

That seems like a small number!

 

Here is the current state of play in New Hampshire:



Q3) What is surprising?

Q4) How many percentage points is Biden leading by?

Q5) How many votes are still uncounted?

Q6) Biden won all 4 of the electoral college votes from New Hampshire.  Why might that be considered unfair?

A3) They have counted 803,831 votes so far – which is a long way above our upper bound of 2736 ! (And Biden managed to overturn Trump’s 6-vote lead!)

A4) Biden is leading Trump by 59,275 votes.  Dividing this by the 803,831 votes counted gives us 0.07374…, which is a lead of 7.37 percentage points.

A5) I am deeply suspicious of the figure for the percentage of votes that have been counted, but if we take it as correct we get that 830,831 is between 98.95% and 99.05%

830,831 / 0.9895 = 812,360 (rounding down)

830,831 / 0.9905 = 811,541 (rounding up)

Hence, there are between 7710 and 8529 still to count.

A6) The way the US Presidential election system works, each state votes and then (for 48 of the 50 states) the electoral college votes for that state all go to the winner of the state.  In the election in 2000 the state of Florida was won by a margin of only 500 votes.  That gave all of the electoral college votes for Florida (25 of them – because Florida has a greater population than New Hampshire) to George W. Bush and resulted in him winning the election. 

In New Hampshire, Biden benefited (he got 53% of the votes but 100% of the electoral college votes), whereas in other states Trump benefited from the system.  In the 2016 election Hillary Clinton won more votes than Donald Trump, but ended up with fewer electoral college votes, so Trump was the winner.

Here is the final map from 2020:


Q7) Is there more red or blue?

A7) I think there appears to be more red.  But because the very big red states in the north have small populations, the number of electoral votes for the blue states (Biden) significantly exceeds the red states (Trump).

The Wall Street Journal provides this as an alternative version of the map:


Q8) What is going on here?

A8) The map has been scaled to show one square for each electoral college vote.  (You may want to flick back and forth between the real map and this one.  Montana is a particular casualty!).  Now there is more blue. 


Source: https://www.wsj.com/election-results-2020/live-coverage.html

 

 

 



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