Present Archive

UK MPs Can Earn Over £1000 Per Hour

How much UK MPs earn, per hour, on 'external' jobs

The annual salary for a UK MP is currently £65,738. This income is often topped-up with payments from other jobs; one-off consultancy projects, board member salaries, or media appearances. Using the Register of Members Interests raw data provided by the invaluable They Work For You, we can see how much extra they earn.

The graph above plots many of the individual payments we extracted data for, normalised by £/hour – how much the MP earned for each hour worked. The highest hourly wage goes to William Hague, at £7,331 per hour (£14,662 for a two hour talk).

You can see a clear plateau at £150/hour in the graph (click for a larger version), with slightly smaller £200/hour and £100/hour plateaus either side. The average rate was a little over £250/hour.

Although many of the tasks appear to be costed at a low hourly rate, it should be noted that we gave many MPs the benefit of the doubt: for those that recorded ’1 day’ (rather than the standard number of hours), we assumed this was 24 hours, not a 7.5 hour working day.

Ten MPs managed to record a rate of £infinity/hour, by receiving payments for 0 hours worked: these include three payments of over £3,500 to John Gummer and three payments of £3,500 to Edward Leigh.

23 MPs managed to earn over £1000/hour, and 46 managed over £500/hour.

Of the top 10 highest paying items (in terms of £/hour) – each of which was between approximately £1500 and £7000 per hour – only Vince Cable, who appears twice on the list, donated his fee (in both cases) to charity. All other MPs – including William Hague, John Greenway, Michael Gove and John Gummer, appear to have retained their payments.

9 Fascinating Datasets Available Online for Free

Data is invaluable for our continued advancement as a society. We use it to decide which hospitals to attend, which foods to eat, what career to take. We can learn incredible lessons from the past, and make vast sums of money from predicting future trends.

As individuals, we are lucky to have access to more data than ever before, as data sets continue to be made available online for free.

Primarily as an excuse to let you know about the amazing Infochimps website (that catalogues datasets and makes them available), here are some interesting data sets that you might want to explore:

  1. 500,000 email messages from Enron senior management
  2. 500,000+ US pager intercepts from the 9/11
  3. Frequency of Sex versus Satisfaction Levels
  4. Meat Consumption by Type and Country
  5. The Location of Michael Jackson’s White Glove in 10,000+ Video Frames
  6. Drug Use by Arrestees in Major U.S. Cities
  7. Characters from Baywatch
  8. 1,000 Most Frequently Used English Words by Frequency
  9. UFO Reports, by city, shape, duration

Using Starbucks Stores to Model Retail Gravitation

Retail Gravitation Breakpoint for Manchester and London

You live the same distance away from two cities and decide to go shopping – which do you go to; the one with the most stores, right? What if you didn’t live the same distance away from each city – how far would you have to be away from the larger one, in order to decide that it’s easier just to go to the smaller, closer one?

That question is the crux of William J. Reilly’s 1931 Law of Retail Gravitation. He asserted that:

the Break Point (BP) [from city p2] is equal to the Distance (d) between two places, divided by the following: 1 plus the Square Root of, the size of Place One (p1) divided by the size of Place Two (p2). (slightly paraphrased from the previous Wikipedia link)

The “size” of a place is a little arbitrary, but you could use figures such as the total square-footage of retail space, or the total number of unique stores. Either way, this data is fairly difficult to track down.

Luckily, ubiquitous stores like Starbucks are a good indicator of the larger retail environment, so we can use their UK Store Locator to count the total number of Starbucks stores in each city, and use this as a good estimate for ‘Retail Size’.

Retail Break Points for UK Cities, compared with London

Obviously the Break Point figure, in miles, will be larger for the cities that are further away from London, such as the Scottish cities. Therefore a more interesting statistic is the Break Point distance in terms of percentage of the total distance (the green line in the graph above). This demonstrates the relative ‘pull’ of each city, influenced by the number of Starbucks (which, remember, we’re using to represent the total number of stores). Looking at these figures, we can see how the lack of Starbucks in Liverpool is causing a relatively low ‘retail pull’ towards the city, whereas the additional Starbucks stores in Manchester give it almost the same relative ‘pull’ as the much farther away Edinburgh.

Just because I had the data, here’s a bonus graph of People per Starbucks for each city:

People per Starbucks Store, for UK Cities

Looks like Liverpool and Birmingham need a few more stores.

Flowchart: In-Person or Online? Which Communication Method To Use

Flowchart: In-Person or Online? How Should You Communicate?

Click the image above for the full-size flowchart. This is a draft attempt to document the best communication method/channel for various situations (face to face, email, phone, instant messenger/skype, or conference call). Please add your thoughts and suggestions to this post, and we’ll update the flow chart accordingly.

Are We Witnessing the Trivialization or Democratization of the Web?

Google Search from 2004 Trends

The Google Insights For Search tool provides one method for tracking changes to our culture and priorities. The graph above (click for a larger version) shows the change in volume of global searches for six different categories of query, from 2004 to 2010. Changes are relative to the search volume for each category in 2004, i.e. each category starts at 0% change on the left.

The last six years have seen a noticeable increase in searches for Shopping, Beauty and Entertainment – all rather selfish topics. Conversely, Science, Society and Arts – some might say the more intellectual or cultural subjects – have seen a noticeable drop over the same time period.

To draw any specific conclusions from such generic data would be foolish. However, a pessimist might suggest that this highlights a dumbing-down of society, where we increasingly turn to commercialism and celebrities to fill our time. An optimist might suggest that this data shows how the web has successfully evolved from a limited academic tool in the richest countries to a widespread media that a broad range of people rely on.

The only hard conclusion I’m taking from this is: now’s the time to invest in online beauty companies.