Top ten advantages of a Tesla Roadster vs conventional cars




Update: see below the lovely black Tesla I captured just a few weeks ago on my visit to the offices of Expedia in Victoria, to talk about social media strategy and credit reports.

I had the great privilege of test driving a Tesla Roadster today with the help of Gian. Of course it does 60 mph in 3.7 seconds – check out the full official Tesla Roadster spec here. We chatted through some of the benefits, and afterwards I made a quick note of the top ten benefits from the test drive in typical ‘user-generated content’ fashion.

My quick and dirty top ten

1. The car is 88% efficient compared to 16% for a conventional petrol driven car. It charges itself as it drives when you take your foot off the accelerator.
2. The cell structured battery means you never have probs with recharging reducing the life of the battery.
3. You don’t have the problem with a conventional sports car of having to change gears to find the power torque – its a smooth flow of power to the driver.
4. There is no exhaust pipe to catch on speed bumps.
5. It’s made of highly resilient carbon fibre so it doesn’t dent or rust in the way a conventional car shell does.
6. The drive transmission, exhaust, etc does wear out like a conventional petrol engine motor can do.

7. It is expected that as the Tesla battery design is further improved, you will have the choice of 40% more power, or more boot space…
8. You can use the car for business. For promotion. For demonstrating corporate responsibility. For keeping a more charming profile on the street! And that means it’s tax deductible.
9. The success of Tesla is helping bring electric powered transport to the mass market by demonstrating its power and practicality. Electric motor powered fire engines came to mind for some strange reason?
10. It would take a heck of a long time (9 months) to run down the battery with no charge;-)

What I think I forgot to mention is that using the brakes actually charges the battery. Luckily Jeremy Clark didn’t forget, in this Top Gear test drive from a couple of years ago.


So while a Roadster cost a little over £87K it’s good vfm when you calculate i all its benefits vs a conventional car’s. What’s more there is a corporate leasing option too – while Tesla don’t advertise this as available for the UK as yet I’m sure that’s worth discussing with Gian.

Tesla Roadster in Victoria

Bond, James Bond

While I am not a motor journalist (though there is a pic of me driving an ex-Russian tank from my pre-internet days as a newspaper reporter) I have written professional product reviews for eBay’s as their UK head of community; but this has got to be the product that tops them all. I hope the makers of the 23rd 007 movie ‘Skyfall’ agree, and seriously consider using the car in the next 007 film.

PS: I see my most famous college alumni Sam Mendes is directing, which is super neat. Maybe he would enjoy test driving a Tesla too?

How to design large complex online communities using social science

Sorry if I jump around a bit in this blog post but by reading these points, and listening to the video, you’ll have a better idea of how social science can help you design a successful community, using a specific kind of moderation approach. Or at least how to impress to use the difference between a theory vs design-type approach to community building to respond better to new customer needs.

OK, I am paraphrasing here so bear with me, with me taking notes from Robert Kraut’s Stanford presentation above. My aim is to show how social science can inform good online community design. So the first point is that Kraut makes that I want to highlight is that real community design is “highly multidimensional”. And that this is at odds with logic of social science which seeks to understand effects of one variable at a time, while all other variables are else held constant, to discover causality. OK, so that’s some of the fundamentals sorted. Skip to this section on the video to hear the explanation.

This social science approach is at odds with (i.e. online community) design where you are trying to figure out the configuration of all possible variables to have the effect that you want to have. Kraut says that basically with design you don’t want one variable at a time you want ‘kitchen sink experiments which are theory-based experiments which you want to try out in a relatively cheap way.

But they use agent based modelling – allow theory to be tested as models in community environment, change member behaviour, which change environment (see 1:12:56) – where the ‘Identity Benefit’ is greater when agent’s interests are similar to group interests:

Here’s how to simply capture that ‘Identity Benefit’:
# viewed messages that match // # viewed messages

In comparison for the other principal type of community benefit to members Kraut identifies, the ‘Bond-based benefit’ is greater when there is repeated interaction. Kind of obvious I guess, but this is social science, so still worth stating!

Agent-based modelling and simulated communities results

And from simulated communities what Kraut found is that the simulated agent models (taking the place of community members) produced results very similar to that observed in real Usenet groups.

So the next step is that if we have a working agent model that shows how community works we can test out different types of moderation techniques, which can test in this simulated community.

From this Kraut found that ‘Personalised moderation’ out performs ‘Community level moderation’, though this really matters significantly when dealing with a large volume of content, or diverse content. In other words ‘Personalised moderation’ works well with large complex communities.


And as an example, I see this personalised moderation functionality  appears to be available in community platform Telligent’s latest version of their analytics, which sounds useful. Be good to know which other major community platforms like Lithium offer such beneficial functionality, and how well it really works in the day-to-day:

Your community can now offer its participants dynamic and personalized recommendations of both people and content. Telligent Analytics looks at your community’s data, compares it with each member’s unique interests, and then delivers personalized recommendations to that member. Telligent Analytics doesn’t just tell you how your community’s doing; it applies the analytics to improve your community members’ experience.

So if you want to go into this study applied in more practical detail here’s Robert Kraut’s paper (pdf) with the graphs and stats:

A Simulation for Designing Online Community: Member Motivation, Contribution, and Discussion Moderation – (pdf:

Or maybe you’d like to read the chapter’s of Kraut’s 2012 bookBuilding successful online communities: Evidence-based social design:

  • Resnick, P. & Kraut, R. Introduction [PDF]
  • Kraut, R. E. & Resnick, P. Encouraging contributions to online communities [PDF]
  • Ren, Y, Kraut, R. E. & Kiesler, S. Encouraging commitment in online communities [PDF]
  • Kraut, R. E., Burke, M. & Riedl, J. Dealing with newcomers [PDF]
  • Kiesler, S, Kittur, A., Kraut, R., & Resnick, P. Regulating behavior in online communities [PDF]
  • Resnick, P, Konstan, J & Chen, Y. Starting a community. [PDF]