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It\'d be interesting to compare the study with one that looked at money raised (and valuations) by multiple-time entrepreneurs and then arrived at some comparative yield between the different classes.
I don't have the answer, but would love to see the other side of the data - not the outcomes (Gates, Larry and Sergey, Ellison, et al), but the outcomes divided by the inputs. Of course, that's where sage VCs have to filter, filter, filter...
A VC I was on a panel with yesterday said something similar yesterday (sorry if I mangle it, Paul) something to order of: the billion-dollar plays require someone to come up with something so far out and also be lucky, that it's conceivably more likely to be the first-timers...(ish?).
I might be supportive of that. From my side with experience, I go for a tens-to-hundreds play with (stratospherically) higher probabilities than shoot for the billion ... as such, it's a matter of whether tens-to-hundreds moves the needle for a given investment. From Taleb, remember the hotshot traders that ignored the odds and made a killing...for awhile?
In any case, every entrepreneur has to be a first timer at some point and one of the critiques I have of the three of us who launched my biggest venture to date was that we didn't go with our own guts a bit more vs. the 'gray-hair' advice - would have saved us a lot of dough and hassle along the way...
So - definitely keep backing noobs, but I'd say a batting average is a good sign, especially if it has more than one datapoint...
Techcrunch ran this story last year, which I thought was interesting: http://www.techcrunch.com/2007/12/09/the-twice-...
This is a real hard thing to quantify statistically as there are so many factors at play. Gut feel of course would agree with you Nick - logically, more experienced people are most likely to ride out the ups and downs with venture help.
In hindsight though, I reckon my first start-up was a big success purely because I was blind to what I was letting myself in for and I was a cocky little sod :-)
Phil - the Techcrunch article that Ivailo points to makes the same point as you - i.e. that first time entrepreneurs are often bolder than second timers
A novice entrepreneur has a wide range of possible outcomes for their business, in which luck plays a large part.
But a one-time entrepreneur has a much smaller range of possible outcomes next time round. The most reliable prediction for which, in my view, the outcome of their first attempt.
Put another way, somebody who has tried once, but failed, is a risky bet. Arguably (tho, as with Nic, the research doesn't intuitively feel right to me either) more risky than somebody who has not yet tried.
But as a potential investor in a serial entrepreneur there are some very easy ways to figure out whether luck, the first outcome, or something else is at work. Talk to their former investors. Talk to their former colleagues. And talk to people in their former industry. These guys will be well known and will not be able to hide from their reputation. With a novice entrepreneur there is no such reliable guide - you're on your own.
After going to business school I realised how flawed most academic work on the subject of entrepreneurship is. The spend
their time trying to find trends based on false assumptions and attemps to standardise data.
Why do businesses grow and succeed? By learning from each previous days attempts, allowing them to refine their product/service thus making the business more profitable. Why should this fundamental proccess change from the closing of one business to the starting of a new one?
I can think of countless entrepreneurs who started one business only to succeed again and again throught the knowledge of the business process. I firmly believe that you only learn about business my being in business.
I will give you some examples. Wayne Huizenga the founder of Waste Management inc then Blockbuster Video then Auto Nation he had a process from stage one of forming service companies in fragmented industries which could be consolidated through acquisition. He did this again and again forming three fortune 500 companies.
Duncan Bannatyne another serial entrepreneur founded business from the outset based on recurring income streams calculated on the cost of building a facility. e.g. it costs me x to build, then finance costs will be Y, and once built I will get Z amount of income each month. Does this seem viable? Yes it does. So he went to work and rolled out the concept over several sectors. First social housing then, nursing homes, then day care centres, then health clubs, then hotels. Felix Dennis..several failed magazines but eventually learnt from past errors and contined to roll out success after success. He will tell you his efficiency improved on each new business. Stelios of Easy Group...ok from family money first but had a few failed launches of shipping companies then finally learnt from mistakes and floated Stelmar on the New york exchange, then founded easy jet and finally other companies. Li-Ka Shing the hong kong billionaire again a few false starts but then successfully venture each time Plastic flowers then real estate then ports then telecoms. I could give you at least 50 more that I know personally. I am sure you academics will claim this is randomness compared to the millions that start. But I truly know that there are several differentiating factors which mean you cant put it all down to randomness. It depends on how you standardise the data.
If experience plays no part in success then surely you could take a successful company at random remove the entire management and put in total novices to run the company, and the company would be equallt profitable the next year..because success is random like the lottery and not based on experience and knowledge. I done think so.
It is not that easy to reduce a complex subject down to simple lottery. To address the last post regarding Darren Brown's tv documentary, this has no relevance, because with entrepreneurship one can actively influence the outcome to improve the odds of success. I cannot legally influence a horse race with my own actions i.e. go into the stable and kick the horse in the knee. However I can influence the success of my company e.g. modify my product due to competition.
Every day, there are a thousand sub-routines in our business that we execute the right way simply because we've done it before and we how it should be done. Each is a potential stumbling block for a new entrepreneur who hasn't been down that road before and learned from their previous good or bad decisions.
Luck is what other people call your being at the right place at the right time. Those who are lucky would call it preparation and hard work. Thomas Jefferson once wrote "I'm a great believer in luck and I find the harder I work, the more I have of it." At the very least, previous entrepreneurial experience, if nothing else, teaches you that.
be successfull the next time around. It is very interesting.
http://www.sanjayparekh.com/skill-versus-luck-i...
I did a table in my book (www.startup-book.com) about the age of famous founders in the USA and in Europe. It was only anecdotal but in the USA, the age of founders was in the mid-twenties and in Europe above 30. And the difference in the size of the successes was an order of magnitude (10x) in favor of the youngest... And the Library House mentioned some months ago that CEOs of VC backed-companies below 30 in the UK was a few %.
Did Steve Jobs succeed with NExt? What about Joe Costello after Cadence? Did Philippe Kahn succeed after Borland. What is Denis Payre doing after BO?
Another key element I have read or heard a lot, including in the great "Founders at Work" by Jessica Livingston, is that there is so much stress and uncertainty in a start-up that if you know about it, it is not sure you would dive blindly as all these young people have done. What about the impact on private life and family it has. If it takes 5-7 years to do a start-up, how many times can you do it with the energy it requires? Of course, once you have done it, you may know about managing your time and energy better. But is this good or bad for the start-up?
I also agree with some of the comments that I would be cautious with academic studies because the data are just tough to get. For example, when do we know someone is a first-timer? I discovered cases of very young people who had done entrepreneurial activities before what I thought was their first start-up and I am not sure researchers have access to complete data.
Note: Nick - your anti-spam filter does not work in Safari - rejects everything!
After all - if one of them doesn't work - I've got 3 more to fall back on and haven't wasted 5 years :-)
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