Category Archives: race design

Race Start Logistics – Chaos, Flow and Entropy

Should you really be up front in the crowd at the start line?

Have you ever run one of the big races in India like the Standard Chartered Mumbai Marathon (SCMM) or the Airtel Delhi Half Marathon (ADHM) and had varying experiences about the ‘flow of crowd of runners’? As the number of racers has grown and the increased focus on logistics for handling them has tried to avoid making a mess and avoid a human catastrophe, I have been curious about the flow of runners at the start and its subsequent impact along the route. Today’s conversation, with some interesting pictures, is about that. Takeaway lessons for you, racer, pacer or race organizer, will come soon.

Roadmap

I will first talk about the distribution of runners and how it transitions from start line to finish line. I then introduce you to my idea of ‘disorder’ in a race, with a measure that I call the Race Entropy, and show how that beautifully captures the flavour of the ease of flow within a race. I use the case of the Mumbai races (SCMM) to show how start-enclosures have helped with achieving less disorder (but significant room for improvement exists). I also show what impact the extreme pollution scares in New Delhi last winter had on the race that was held at that time (ADHM2016).

Gross Time, Net Time, Mat Crossing Time

I have shown you numerous graphs in the past of race finish times. These are typically histograms of ‘net finish times’ that show how many runners cross the finish line within each time bucket, where each bucket might be just a few seconds wide. What you will have probably never seen until today is a similar picture of what happens at the starting line.

How do we spread ourselves out over time?

Because not everyone crosses the starting line at the same time, there is a ‘spreading out’ or ‘distribution’ over time of runners crossing the starting line. This distribution is what leads to the need for recording gross finish time and net finish time.
The gross time is based on the natural clock time – the same clock for all the runners.
The net time is the specific time taken for each individual runner measured as, starting at their specific start line crossing (time = 0) and ending at their crossing the finish line.
Many races have RFID timing sensors placed under mats over which runners pass at the start/finish line, and so we often use the terms ‘starting line’ and ‘starting mat’ interchangeably.

Easing Flow

If your race’s logistics are handled smoothly, the fastest runners would be placed right up front at the start line and the slowest runners placed towards the back of the crowd. In the extreme scenario of the runners being released in descending order of their speed, in the hypothetical situation of constant speed for each runner, the number of ‘overtakings’ would be 0. No one would overtake anyone despite everyone running at their race pace. This would ensure a smooth flow of humans across the starting line and thereafter.

Smooth flow of runners ranked in order of speed

In practice, although it ‘feels good’ to overtake other runners, the truth is that it always involves some risk. Besides the physical risk (of impact) if the runner being overtaken sends you negative thoughts as you try to glide past him, that cannot be good for your soul.

Consider now, the worst situation for race start ordering, the slowest runner being placed right up front and the fastest runner at the back of the pack. In the extreme situation of N runners placed in such a reverse order of their speed, the fastest runner would have to overtake N-1 other runners to finish 1st. The runner who comes in second would have to overtake N-2 runners to come in 2nd. And so on for all the other runners… And, therefore, {ignoring the school maths proof}, the total number of ‘overtakings’ for all N runners would be ½*N*(N-1). Let us call that measure MaxPossibleOvertakings – e.g. for 10,000 participants placed in this reverse order MaxPossibleOvertakings will be 49,995,000.

Flow disrupted when runners not ranked in order of speed

For any given race with an actual ordering at the start line, we can also easily add up the minimum number of ‘overtakings’ that would have led to the actual finish ranking observed. Let us call this MinPossibleOvertakings.

Having defined a measure for the actual starting/finishing rankings of runners and the theoretical measure with maximum disorder, let me now tell you about what I call the ‘Race Entropy’ of an event. If numbers or equations faze you, hang in there, there’s nothing particularly complicated in what follows.

Entropy

Borrowing from Thermodynamics, I define the measure of disorder in a race as being the ratio

Entropy – a measure of disorder in your race

If the runners are released in the perfect ranking of their eventual times, so that there will be no overtaking, the Race Entropy will be 0.
If the runners are released in the perfectly reverse order, the Race Entropy will be 1.
If the ordering is purely random chance, the Race Entropy will be approximately ½.
We hope that the Race Entropy for any race will be less than ½ and closer to 0.

Start-End Ranking Plot

We can also visualize this order and disorder with what I call a Start-End Ranking Plot – a rank for crossing the finish line plotted against the rank for crossing the start line. This example plot shows the two ends of [1] perfect order and [2] perfect disorder as well as [3] the case of purely random start ordering.

Start-End Ranking Plot: Avoiding disorder or wrong order is a worthy effort

Start-End Ranking Plot: Avoiding disorder or wrong order is a worthy effort

With this distilled single measure of disorder, Race Entropy, and the Start-End Ranking Plot, let us now examine a couple of interesting stories from the Indian recreational marathon scene.

Case 1 – Chaos to Order: Introduction of Enclosures for SCMM

The first year that I happened to run a distance race, quite by chance, was the flagship Mumbai Marathon in 2010 (SCMM2010). I remember being at the start line and witnessing the undignified pushing and jostling. It was pretty much ‘law of the jungle’ up there akin to the local trains I took to work daily. It was a free-for-all, first-come-first-serve type start, so everyone pushed up ahead, with no real attention to ordering themselves naturally by expected finish time.

Race Start Enclosures

Race start enclosures or ‘holding areas’ were first introduced to the Indian running scene in January 2012, at the Standard Chartered Mumbai Marathon. These enclosures, now common in the races with large numbers of participants, are set up with the philosophy that the fastest runners are kept together and typically go past the start line first, the slowest ones last, and the ones in-between following the same principle. In order to decide which start-enclosure you wait in before you start the race, race organizers request a recent race timing certificate from you at the time of registration. Based on this ‘previous timing certificate’ you, the customer, are allocated a start enclosure, specified visibly on your racing bib.

Pre/Post Enclosures

Start Enclosures help ensure reduced Race Entropy (disorder) despite an increase in competitors

If we examine the difference between 2010 & 2011 compared with 2016 & 2017 there is a noticeable reduction in Race Entropy despite the number of participants rising. Having seen the Race Entropy drop between 2010 to 2017 despite the massive increase in participation, we can see the Start-End Ranking Plot which corresponds to those numbers and the picture tells us the same story.

Comparing the Start-End Ranking Plot for 2010 with that from 2017 indicates a clear move away from high disorder towards greater order.

Population increase need not be a problem if mismanagement is replaced by better management!

Case 2 – Pollution Reduces Race Participation: Massive Reduction in Delhi Disorder

The flagship race of New Delhi, soon after the worldwide scares in the media about the city’s air pollution levels at the end of 2016, saw a massive reduction in actual participation on race day (ADHM2016). My simple but sensible estimation method tells me that 40% of those who had paid and were registered to race did not show up on race day. This is almost always fortunate for the race organizers and those who do show up to run. The race experience is always better for such large races when the turnout is lower {fewer people chasing the same resources including, quite literally, air, water and land}.

What did the fearless who turned up experience?

What is interesting is that the Race Entropy was so much lower (20.3%) than in 2012 (32.0%) when the ADHM first introduced start enclosures. It was also considerably lower than the previous year where in ADHM2015 the Race Entropy was 26.8%. Perhaps, the general time trend in Race Entropy shows that the running population itself is becoming slightly mature and sensible as a group about the race start. For ADHM2016, it is possible that a predominance of experienced runners showed up and many of the newer runners stayed away. Or, perhaps, managing fewer runners with arrangements for many more (who did not show up) induces lower Race Entropy (lower disorder). All my friends who ran ADHM2016 had a fantastic experience. As luck would have it the weather was (described by a mentee who ran) ‘absolutely perfect’ and my guess is that the reduced disorder added to a better overall experience.

Pollution Scares: Did the drop in crowding make humans more relaxed and reduce irrational crowding?

Once again, comparing the Start-End Ranking Plot for 2017 with that from 2012 when the number of participants was similar and start-enclosures had just been introduced indicates a clear move away from high disorder towards greater order.

Did the reduced crowd density encourage more orderly behaviour?

Summary and Way Forward

I introduced the concept of ‘disorder’ or Race Entropy to characterize the (lack of) ease of flow within a race. I showed how the introduction of start-enclosures based on ‘expected finish time’ helps reduce this Race Entropy (disorder). So, besides features such as aid stations, route marshaling, medal quality, pricing of race entry tickets, and post-race refreshments Race Entropy serves as a superb single measure to capture the overall race experience for those who turned up.

I will write again soon and provide guidance to you the racer, race pacer or race organizer based on this dimension of analysis.

Until then, try to not bump into anyone 🙂

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.

SCMM-2017 – A Quick Update on Quantity and Quality

*Net Finish Times winsorized at 6:15 [click to enlarge]

*Net Finish Times winsorized at 6:15       [click to enlarge]

Memories of each SCMM fade quicker each year as the racing calendar in India gets more crowded with each passing year. However, as the flagship race of the country it is worthwhile using it as a benchmark race to assess how things are progressing, both for the race itself and for the runners within it.

I wrote a quick update on the numbers of 2016 a year ago, and this short conversation is to mirror that with an update for the 2017 race event of 15th January.

The total number of participants in the Standard Chartered Mumbai Marathon went up again this year but only marginally (by less than 1000). Of that, in the half marathon, the numbers were capped (presumably for safety reasons) and the full marathon saw another year of increasing participation.

The overall (mean and median) race times of those who crossed the finish line was slower for the half marathon. (I might provide further insight regarding that in the weeks ahead.) For the full marathon, the worsening we have seen in the last two years, became worse (slower) this year. It is not unlikely that the increased worsening in finish times is driven by the large number of new entrants, but given that the number of entries has been increasing every single year, to blame the newbies for the recent worsening is unjustifiably unfair without delving into the details.

To get a better picture of what has been happening with aggregate numbers, you can also see my much earlier report on what happened between 2010-2014. And for the most sophisticated analysis on Indian marathon running so far you may want to look at the question “Are Recreational Marathoners in India getting Faster?” and its follow-on multi-year cohort analysis in “You are getting slower sooner than you think“.

Please click on ONE choice for YOUR answer here

If you had not already thought about it when looking at the graphs and tables in this article, then from the two earlier articles on consecutive races, and multi-year cohort analysis, you would have figured out that interesting stories are hidden in the details of aggregated statistics. I might tease out more such stories for you in the weeks to come. Until then, here are the tables for the graphs above.

*Net Finish Times winsorized at 6:15 (Standard Chartered Mumbai Marathon)

*Net Finish Times winsorized at 6:15 (Standard Chartered Mumbai Marathon)

 

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.

Reporting on Pacing Failures at the SCMM 2017

The FunRunParty Bus

The FunRunParty Bus

The Messenger is Back
Ever since my “Being a Pacer, Choosing a Pacer – A Guide” I have published a table once a year after the Standard Chartered Mumbai Marathon (SCMM) on the performance of official pacers selected to set the pace for other recreational runners for various target times.

The reason for my tabulated updates after the race are outlined in the 2016 report and some lessons from pacer failures are outlined in the 2015 report.

Last Sunday, it felt great to be greeted throughout the race morning of the 2017 edition by runners who had used my freely available pacing bands. Even the tiny proportion of runners who decided to race with a pacer would have done well to use one of my pacing bands. For the SCMM, they were first released in 2016, and then republished in 2017. To see why I think they are calibrated brilliantly read this.

This Time you may Shoot the Messenger

Lights, Music, Dance, Colour

Lights, Music, Dance, Colour

A whopping 184 runners pre-registered their interest to make history and run on my FunRunParty 2-hour Bus and many others joined along the way. The goal was to party along the entire route and, as promised, we had lights, music, dance and other action.  Wine, however, was not served – nor was beer! Save a few grumblers, everyone who was part of it had a wonderful experience… so, success was achieved at least on the ‘fun party’ dimension!

Shockingly enough I did not realize until I crossed the finish mat that I had missed my own strict deadline requirement by 32 seconds! Abominable and unforgivable! So, this time around, we can shoot the messenger! Not that one should have any excuse, but I did encourage everyone on my bus to wear the pacing band for their own target times, and I joked that those who were targeting 1:59:00 were to keep me on track. (It’s not the easiest thing to watch both wrists in crowds when carrying a very large flag while running at 10.6228 km/h. Excuses shex-queue-zes… Stop it Puru!!)

Results

OK, so here are the results in two separate tables for the half marathon and the full marathon.

Half Marathon

SCMM 2017 – Half Marathon – Pacer Performance

Full Marathon

SCMM 2017 – Full Marathon – Pacer Performance

Why are things still going wrong?
To continue to have half the pacers in the full marathon failing again this year is not a joking matter! The half marathon had significantly more failures than last year and the year before that– again not something to take lightly!
In terms of process, there continue to be odd things happening in the race times of the pacers listed. Just to cite a couple of examples and I am sure there are more:
Example 1: One of the 3-hour pacers for the half marathon was announced to have dropped out of the event because of a prior injury but his race time shows up as 2:17:33.
Example 2: Prior to the event I received communication from puzzled runners about the 3:45 pacer for the full marathon whose prior best time with the SCMM was 4:06:34. To give him the benefit of your doubt, which would have been formed based on what was advertised, perhaps he had indeed trained enough to achieve 3:45. However, those who decided to not run with him based on public information would have felt vindicated after he finished in 4:09:03.

So, What Next?
Presenting this table each year seems to not affect the outcome in the next year. But, it is still worth my doing so for the running community. On the bright side, do look out for more interesting articles from me based on this specific race in the weeks ahead that might be more relevant to your training as well as race experience.

Wait for the messenger!

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.

SCMM-2017 The 2-hr Party Bus with PuruTheGuru

The 2-hour Party Bus with Puru

The 2-hour Bus with Puru

To register FREE to be on the 2-hr FunRunParty Bus with me click here right now.

Registrations for the Standard Chartered Mumbai (Half) Marathon 2017 closed a few months ago. Since then, barely has a day gone by when someone or the other has not asked me if I would be a pacer again for the race coming up in 2 weeks on 15th January 2017.

Those whom I have paced at previous editions of the race in 2013, 2014, 2015 have asked if I would pace a faster time this year (for a repeat experience of success) and many have used my own reasoning (in many previous articles) that I pace a slower time to serve a greater number of runners. In 2016 while I helped promote running for fitness by shooting this movie at the SCMM, I reached out to help thousands of runners with achieving their race target through freely available customized pacing bands. Those bands are available again for 2017 – the numbers remain unchanged, because so does the race route – the small print has been updated! Please use them, they’re free, and they work beautifully!

This year, to give at least some of you the experience of running with me as a pacer in my ‘home race’, I invite those who have trained to do something close to 2-hours to run on my ‘2 hour FunRunParty Bus’ on race day (click here). So, if you have trained to run between 1:50 and 2:10 you might consider being part of my bus. I guarantee that for whatever time that you are able to be with me, you will have fun. Simply go to this link to register and I shall be in touch with you. Let your friends who are aspiring to finish in that time range know too so that they can be part of the fun with us! We already have many runners from across the planet registered to be on the bus

Do check out the pacer bands and print out as many as you think you need. Useful tip: if you are not sure if you can finish in 1:59 or 2:04, you can use the pacer bands for both, just stay within the corridor they set for you! If you think you can do something around the 2-hour mark, do it with me… go ahead and register here.

Looking forward to meeting you on race day!

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.

SCMM-2017 – Free Gifts

Free Gifts for Your SCMM-2017 Target

Get to the Finish Line within your Target Time
If you are running the Standard Chartered Mumbai Marathon (SCMM) on Sunday 15th January 2017 and want to get to the finish line within your target time then I have the perfect gift for you. Pace bands that are calibrated specifically for that race!

Quick Background
These wonderful gifts are free and available for you below. If you have not read about the (technical) background behind the creation of these gifts for you, you should definitely read more about them here. The actual gifts (to download) and instructions-for-use (video) are below.

My Dream Wish – Your Gift
I have a short fun video to show you how to use the bands. The links to your free bands are below, just scroll further down. We have designed, specifically for the 2017 edition of the SCMM, the following:
-Pacer Bands for the Half Marathon
-Pacer Bands for the Full Marathon
Scroll down to pick the one that’s right for you…

Instruction Video for your Band (93 seconds)


Your Half Marathon Bands – CLICK on as many as you wish – it’s your choice

Choose PINK or WHITE

Look Good, Run Well

1:39 (click)
1:44 (click)
1:49 (click)
1:54 (click)
1:57 (click)
1:59 (click)
2:04 (click)
2:09 (click)
2:14 (click)
2:19 (click)
2:24 (click)
2:29 (click)
2:34 (click)
2:39 (click)
2:44 (click)
2:49 (click)

Your Full Marathon Bands – CLICK on as many as you wish – it’s your choice

Choose WHITE and print on COLOURED PAPER if you want

Choose WHITE and print on COLOURED PAPER if you want

3:14 (click)
3:19 (click)
3:29 (click)
3:39 (click)
3:44 (click)
3:49 (click)
3:59 (click)
4:09 (click)
4:14 (click)
4:19 (click)
4:29 (click)
4:39 (click)
4:44 (click)
4:59 (click)
5:14 (click)
5:29 (click)
5:44 (click)

 

Disclaimer for other races
A word of caution to remember –  these bands have been calibrated specifically for the SCMM-2017 route and elevation profile. Although they might (approximately) work for other races of similar distance, they will not be ideal and you might find yourself being ahead or behind of the band at certain points of that other race.

Click, Print, Cut, Wear… Pose… and Run!

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.

You Might Run Slower Sooner Than You Think

Land, Air or Sea - Natural Limits Exist

Land, Air or Sea – Natural Limits Exist

Do you sometimes wonder for how long you will keep improving your race times? Do you see some friends (appear to) continue to improve year after year, and yet others (seem to) not improve much at all, and some even (seem to) be get slightly worse every year? What could your own benchmark be for athletic performance as the years roll past? Would be good to have a handle on that, right? (Did you wonder why I have those few words in parentheses and emphasized in italics? It is because what ‘appears to’ be, or ‘seems to’ be, might not always be!)

Now, what if you could follow almost 200 recreational distance runners for 7 years over the same race that they ran year-after-year? That might tell you a lot about where your own running might take you, right? Well, here’s some evidence based guidance, based on data never seen before, that I have put together for you.

After listening to what I have to say here, mostly facts, and some conjecture, you will be able to plan your own distance running or other athletic targets for the years to come.

Quick Background

From early childhood to post-puberty, children keep improving for years in various measures of fitness. There is a difference between boys and girls and, depending on what feature of athletic performance one looks at, for a given youth the path will follow periods of rapid improvement, stagnation, and then further improvement followed by tapering off in improvements. What can we say for adult recreational athletes?

Some studies suggest that it takes about 4 years of training for an adult to reach their peak potential. Of course, it is quite likely that the results from controlled studies on adult sporting professionals might not apply to you. That is especially the case if you are an urban recreational athlete. So, let us listen to the story from a unique data set that I have prepared for us.

Unique Data

I look at the case of my ‘home race’, the Standard Chartered Mumbai Marathon, and examine the performance of all the runners who raced the exact same half marathon or full marathon every single year for 7 years in a row (2010 to 2016). This is a small subset of the urban running population. But it is a very valuable subset as it allows us to follow the exact same population of runners over multiple years. Recreational runners in Mumbai face all the constraints and challenges of life in a city with a very high population density, stupidly high real estate costs, terrible public infrastructure and not the most pleasant weather in the world. Having said that, I believe the broad pattern of results will apply to any pairwise population cohort and race combination.

Earlier Work on this Race Event

In a much earlier conversation I presented what happened between 2010 and 2014 to the overall numbers of all participants in the races and average race times over those 5 years. Earlier this year I presented here how that overall quality (race times) and quantity (number of participants) had changed in the period 2010 to 2016. Neither of those investigations had controlled for individual runners being identified and tracked separately across races. Then, when I addressed the question Are Recreational Marathoners in India Getting Faster? I tackled the issue of identifying runners across consecutive races and examining their performance. I identified and tracked 50,719 consecutive period race pairs. However, this repeated pairing was done only across consecutive races – not across the entire span of multiple years. Now, for the first time, here, I identify and examine the same runner across a long span of 7 years and always running the same race – either the half marathon 7 years in a row, or the full marathon 7 years in a row.

Noise

There will be a few cases within the data where the race times are not representative of the ‘true state of athletic performance’. Examples include: transfer of racing bibs to friends who are a lot slower/faster, pacing a slower set of runners, sudden bout of food poisoning during the race. Cramping or running injuries mid-race are not equivalent examples because they do indicate the state of the runner – unprepared for the race!

What happened to Race Times over 7 Years?

There were only 158 participants who ran the half marathon in all 7 years. The equivalent number for the full marathon is just 35, so I exclude them for now but will refer to them shortly.

Same Race, Same Runners, Net-Finish-Times

As the bar graph shows, in terms of the average finish time of the group, the absolute athletic performance does not keep improving each year endlessly. In fact, besides being numerically similar, the average race time sometimes does not prove to be statistically different from one year to the next (i.e. given the variation in individual timings from one race to the next, the average of the race times of all runners in each year does not change enough for that change to be distinguished to be different from zero). So then what can we say about the variation from one year to the next?

Factors Affecting Performance

Factors Affecting Aggregate Race Performance

Factors Affecting Aggregate Race Performance

Of the broad factors affecting performance, the (i) Temperature on race morning and (ii) Humidity on race morning which can, confusingly, often vary in opposite directions to each other can be cleverly combined into the single Heat Index for those race mornings for neater analysis. The process followed by (iii) Ageing is deterministic (a year every year!) even if its effect is not constant, and so can be ignored to a very good first approximation between consecutive years (even if not across a 7-year jump). The (iv) Elevation profile was approximately the same for the years 2010 to 2015 (inclusive) and we can note the effect of the noticeably changed route in 2016. The process followed by (v) Training is the big unknown, and is individual runner specific, and is into which we can subsume all variation unexplained by the other factors when comparing successive years for any individual runner. This includes physical conditioning over a year, psychological training for athletic performance, and any other on-race-day individual behaviour.

Note that although we cannot distinguish between those who commenced running in 2010 and those who might have been active distance runners for 30 years, by aggregating numbers, we can smoothen out individual idiosyncracies and examine the overall impact of Training and the other factors on the entire cohort over that period.

Reasonable Factor Variability Reduction

Reasonable Factor Variability Reduction

Plotting the Heat Index for each of the race mornings along with the average finish times we can see that, from 2011 to 2016 the Heat Index stays within a narrow band, but the performance does not really improve much with time. The effect of training of these runners over a year is not strong enough to drive race performance to faster finish times.

Weather within a Narrow Band - Performance Stagnates

Weather within a Narrow Band – Performance Stagnates

Worsening Performance in 2016 – Route Change, Ageing or Training?

When the changed route for the Half Marathon was announced for 2016 I spoke to you about the challenges. My estimate then was that it would add between 1%-3% to your race time. Given that the Heat Index was almost identical on the race mornings of 2015 and 2016, one might conclude that (all other things remaining equal) the (2.56%) slower time in 2016 vindicated my forecast estimate of 1%-3%. Of course, the runners were a year older. But, let’s assume that the extra year of ageing didn’t really affect performance. Then, since the Full Marathon had the same route for both 2015 and 2016, perhaps we can say that those who had been running it for 7 years in a row displayed worse performance! The effect of a year of ageing had now overpowered an extra year of training! In that case we cannot separate out the effects of the route change for the Half Marathon and the worsening because of ageing versus training.

Same Weather - Same/Changed Route - Worse Performance!

Same Weather – Same/Changed Route – Worse Performance!

Why we should Love this Special Population?

It is instructive to note that this population of runners who had run the same 7 races for 7 years in a row is a unique subset of the 45,000 humans who ran in either the half or the full marathon in those 7 years. They are not representative of the typical recreational runner (who clearly did not run the same race for 7 years). However, they are an especially useful segment of the running population because they tell us what we can reasonably expect of ourselves when we set out to make running (or any other physical activity) a part of our lives for the long run. You can also see that their athletic ability spans a wide range and you will be able to identify your own ability within this range.

2016 SCMM Half Marathon Finish Times for the Cohort of 158 runners

2016 SCMM Half Marathon Finish Times for the Cohort of 158 runners

What does this Story Really Mean for You?

I have told you why you need not run and even why I don’t care about your podium finish (or mine). I love to include running as one very very tiny part of the many activities I engage in for a happier life. I ran my first half marathon (accidentally) in that same Half Marathon in 2010 but am not part of this data set. However, the numbers speak to me very clearly and form evidence based guidance on what could be appropriate benchmarks for my own running as the years roll by. Even as I write this closing paragraph, I noticed that my regular weekend long-run buddy features in the data. He has a Half Marathon PB of 1-hour-12-minutes (many years ago) and is the fastest runner in this cohort of runners. I like the guidance that these numbers give me. How will you benefit from their story?

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.

Veterun-2016 – Free Gifts

Free Gifts for Your Veterun-2016 Target

Quick Background
If you are running the Veterun-Edition-3 Half Marathon in Pune (India) on Sunday 9th October 2016, I have some wonderful free gifts for you below. If you have not read about the background behind the creation of these gifts for you, you should definitely read more about them here. The actual gifts and instructions-for-use are below.

My Dream Wish – Your Gift
I have a short fun video to show you how to use the bands. The links to your free bands are below, just scroll down to pick the one that’s right for you…

Instruction Video for your Band (93 seconds)


Your Half Marathon Bands – CLICK on as many as you wish – it’s your choice

Choose PINK or WHITE

Look Good, Run Well

1:39 (white)
1:44 (white)
1:49 (white)
1:54 (white)
1:57 (white)
1:59 (white)
2:04 (white)
2:09 (white)
2:14 (white)
2:19 (white)
2:24 (white)
2:29 (white)
2:34 (white)
2:39 (white)
2:44 (white)
2:49 (white)

Disclaimer for other races
A word of caution to remember –  these bands have been calibrated specifically for the Veterun-2016 route and elevation profile. Although they might (approximately) work for other races of similar distance, they will not be ideal and you might find yourself being ahead or behind of the band at certain points of that other race.

Click, Print, Cut, Wear… Pose… and Run!

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Dr Purnendu Nath spends his waking hours focusing on helping individuals and organizations reach their goals, to make the world a better place. He speaks, writes and advises on topics such as finance, investment management, discipline, education, self-improvement, exercise, nutrition, health and fitness, leadership and parenting.