Life's a gamble

Living in volatility

Let’s play Russian Roulette!

April 18th, 2010 by admin

How much would someone have to pay you to play Russian roulette? It’s a game where a revolver is loaded with one bullet, the cylinder is spun, the gun is pointed at your head and the trigger is pulled. In essence, gambling with your own life. Is there any amount of money I can offer you to play this game? Almost everyone I’ve asked answers no. But what if God or a genie came down and could offer you things besides money, and you could have anything your heart desired; then would you play? Of course, you could always ask to guarantee a spot in heaven (or whatever you believe in), but let’s assume your wishes were restricted to the “real world”. I love this question, and I ask it a lot but I’ve never really figured out if there was any kind of fair value that could be computed for playing the game. I’d assume fair value goes beyond money as most people can’t really put a price on their own lives, but I’ve decided to try.

First and foremost, what are the factors that should influence the pricing of gambling with your own life?

  • Current Wealth: The more money you have, the higher the price you would demand to play the game
  • Current Happiness: I’d have to assume that if you already have a decent life you aren’t really willing to risk it for any amount. If your life pretty much sucks and you were contemplating committing suicide anyways, well then you’re probably more inclined to play.
  • Number of chambers: What if the number of chambers (holes where the bullets reside) was increased from 6 to 12? Or to ten thousand?
  • Life expectancy: If doctors told you that you were going to die within the next week anyways you might as well try to have one hell of a week

Hmmm… OK, now where do I go? The factors I’ve listed here sound reasonable and I’ve been thinking about this for weeks but I can’t figure out how to make use of them. There are too many non-quantifiable parameters here. Current happiness? How in the world do you figure that out and more importantly how does it fit into an equation? Life expectancy? For most normal people an estimate of how long they have to live is all but a wild guess. I don’t think this is going to work.

There is another way to look at things. It is a somewhat grim, dark way of looking at life but this game of Russian roulette is already something that we  play every day. No one goes to the extreme by living in a bubble and using every thought to figure out how to stay alive and escape death. What we do do is go ahead and eat heart clogging cheeseburgers, not put on our seat belts because the destination is only 5 miles away, figure that a condom is enough protection, amongst a long list of other minuscule, almost insignificant risks we incessantly take daily. And I say almost insignificant because when one of those microscopic, higgs boson sized risks do pull through, you’re dead, which is by no means insignificant… The only difference is that in this daily game of Russian roulette there are more chambers; instead of an 1-out-6 chance there is a 1 out of a million chance of death. So, an easier way to look at this problem is to figure out the prices people already play this game for and see what that implies they’ll play the original version of the game with only six chambers for. I got the data for the table below from the NSC (www.nsc.org) . It shows the number of deaths in 1999 due to various causes and the odds that the average person will die of those causes. Noteworthy are the risks that people take which could be avoided but are chosen to be taken because the rewards outweigh the risks for that particular individual. Things like alcohol, operations of war, automobile accidents and contact with machinery.

TYPE OF ACCIDENT OR MANNER OF INJURYDEATHS, 1999ONE YEAR ODDSLIFETIME ODDS
All External Causes of Mortality, V01-Y98151,1091,80524
Deaths Due to Unintentional (Accidental) Injuries, V01-X59, Y85-Y8697,8602,78836
Transport Accidents, V01-V99, Y8546,4235,87777
Pedestrian, V01-V096,04745,117588
Pedalcyclist, V10-V19800341,0254,446
Motorcycle rider, V20-V292,316117,7981,536
Occupant of three-wheeled motor vehicle, V30-V39338,267,273107,787
Car occupant, V40-V4914,54918,752244
Occupant of pick-up truck or van, V50-V593,13387,0791,135
Occupant of heavy transport vehicle, V60-V69422646,4938,429
Bus occupant, V70-V79624,400,32357,371
Animal rider or occupant of animal-drawn vehicle, V801102,480,18232,336
Occupant of railway train or railway vehicle, V81545,052,22265,870
Occupant of streetcar, V821272,820,0003,556,975
Other and unspecified land transport accidents, V83-V8916,99216,056209
Occupant of special industrial vehicle, V831815,156,667197,610
Occupant of special agricultural vehicle, V84348783,96610,221
Occupant of special construction vehicle, V85387,179,47493,605
Occupant of all-terrain or other off-road motor vehicle, V86603452,4385,899
Other and unspecified person, V87-V8915,98517,067223
Water transport accidents, V90-V94679401,7975,239
Drowning, V90, V92501544,5517,100
Other and unspecified injuries, V91, V93-V941781,532,69719,983
Air and space transport accidents, V95-V97715381,5664,975
Other and unspecified transport accidents and sequelae, V98-V99, Y85510534,9416,974
Other specified transport accidents, V98834,102,500444,622
Unspecified transport accident, V99645,470,000592,829
Nontransport Unintentional (Accidental) Injuries, W00-X59, Y8651,4375,30469
Falls, W00-W1913,16220,728270
Fall on same level from slipping, tripping, and stumbling, W01611446,5145,822
Other fall on same level, W00, W02-W03, W18820332,7074,338
Fall involving bed, chair, other furniture, W06-W08624437,2125,700
Fall on and from stairs and steps, W101,421191,9922,503
Fall on and from ladder or scaffolding, W11-W12375727,5209,485
Fall from out of or through building or structure, W13550496,0366,467
Other fall from one level to another, W09, W14-W17772353,3944,607
Other and unspecified fall, W04-W05, W197,98934,149445
Exposure to inanimate mechanical forces, W20-W492,73999,6061,299
Struck by or striking against object, W20-W22842324,0144,224
Caught between objects, W23932,933,54838,247
Contact with machinery, W24, W30-W31622438,6175,719
Contact with sharp objects, W25-W29684,012,05952,308
Firearms discharge, W32-W34824331,0924,317
Explosion and rupture of pressurized devices, W35-W38338,267,273107,787
Fireworks discharge, W39738,974,286508,139
Explosion of other materials, W401661,643,49421,428
Foreign body entering through skin or natural orifice, W44-W45387,179,47493,605
Other and unspecified inanimate mechanical forces, W41-W43, W49465,930,87077,326
Exposure to animate mechanical forces, W50-W642141,274,86016,621
Struck by or against another person, W50-W52525,246,53868,403
Bitten or struck by dog, W542510,912,800142,279
Bitten or struck by other mammals, W53, W55693,953,91351,550
Bitten or stung by nonvenomous insect and other arthropods, W571027,282,000355,698
Bitten or crushed by other reptiles, W59456,062,66779,044
Other and unspecified animate mechanical forces, W56, W58, W60, W641320,986,154273,613
Accidental drowning and submersion, W65-W743,52977,3081,008
Drowning and submersion while in or falling into a bath tub, W65-W66320852,56311,116
Drowning and submersion while in or falling into swimming pool, W67-W68530514,7556,711
Drowning and submersion while in or falling into natural water, W69-W701,212225,0992,935
Other and unspecified drowning and submersion, W73-W741,467185,9712,425
Other accidental threats to breathing, W75-W845,50349,577646
Accidental suffocation and strangulation in bed, W75330826,72710,779
Other accidental hanging and strangulation, W76307888,66411,586
Threat to breathing due to cave-in, falling earth and other substances, W77475,804,68175,680
Inhalation of gastric contents, W78417654,2458,530
Inhalation and ingestion of food causing obstruction of respiratory tract, W79640426,2815,558
Inhalation and ingestion of other objects causing obstruction of respiratory tract, W802,82896,4711,258
Confined to or trapped in a low-oxygen environment, W811617,051,250222,311
Other and unspecified threats to breathing, W83-W84918297,1903,875
Exposure to electric current, radiation, temperature, and pressure, W85-W99479569,5627,426
Electric transmission lines, W851272,148,18928,008
Other unspecified electric current, W86-W87310880,06511,474
Radiation, W88-W910------
Excessive heat or cold of man-made origin, W92-W931815,156,667197,610
High and low air pressure and changes in air pressure, W942212,400,909161,681
Other and unspecified man-made environmental factors, W992136,410,0001,778,488
Exposure to smoke, fire and flames, X00-X093,34881,4871,062
Uncontrolled fire in building or structure, X002,676101,9511,329
Uncontrolled fire not in building or structure, X01783,497,69245,602
Controlled fire in building or structure, X02564,871,78663,517
Controlled fire not in building or structure, X03328,525,625111,155
Ignition of highly flammable material, X04733,737,26048,726
Ignition or melting of nightwear, X05645,470,000592,829
Ignition or melting of other clothing and apparel, X061122,435,89331,759
Other and unspecified smoke fire and flames, X08-X09315866,09511,292
Contact with heat and hot substances, X10-X191232,218,04928,918
Contact with hot tap-water, X11515,349,41269,745
Other and unspecified heat and hot substances, X10, X12-X19723,789,16749,402
Contact with venomous animals and plants, X20-X29614,472,45958,311
Contact with venomous snakes and lizards, X20738,974,286508,139
Contact with venomous spiders, X21645,470,000592,829
Contact with hornets, wasps and bees, X23436,344,65182,720
Contact with other and unspecified venomous animal or plant, X22, X24-X29554,564,000711,395
Exposure to forces of nature, X30-X391,488183,3472,390
Exposure to excessive natural heat, X30594459,2935,988
Exposure to excessive natural cold, X31598459,2935,948
Lightning, X33644,262,81355,578
Earthquake and other earth movements, X34-X36465,930,87077,326
Cataclysmic storm, X371292,114,88427,573
Flood, X381518,188,000237,132
Exposure to other and unspecified forces of nature, X32, X39426,495,71484,690
Accidental poisoning by and exposure to noxious substances, X40-X4912,18622,388292
Nonopioid analgesics, antipyretics, and antirheumatics, X401681,623,92921,172
Antiepileptic, sedative-hypnotic, antiparkinsonism, and psychotropic drugs n.e.c., X41671406,5875,301
Narcotics and psychodysleptics [hallucinogens] n.e.c., X426,00945,502592
Other and unspecified drugs, medicaments, and biologicals, X43-X444,30763,343826
Alcohol, X45320852,56311,116
Gases and vapours, X46-X47597456,9855,958
Other and unspecified chemicals and noxious substances, X48-X491142,393,15831,202
Overexertion, travel and privation, X50-X571911,428,37718,623
Accidental exposure to other and unspecified factors and sequelae, X58-X59, Y868,41432,425423
Deaths Due to Intentional Self-Harm (Suicide), X60-X8429,1999,343122
Intentional self-poisoning, X60-X694,89355,757727
Intentional self-harm by hanging, strangulation, and suffocation, X705,42750,271655
Intentional self-harm by firearm, X72-X7416,59916,436214
Other and unspecified means and sequelae, X71, X75-X84, Y87.02,280119,6581,560
Deaths Due to Assault (Homicide), X85-Y0916,88916,154211
Assault by firearm, X93-X9510,82825,196328
Assault by sharp object, X991,879145,1941,893
Other and unspecified means and sequelae, X85-X92, X96-X98, Y00-Y09, Y87.14,18265,237851
Deaths Due to Events of Undetermined Intent, Y10-Y343,91769,650908
Poisoning, Y10-Y192,595105,1331,371
Hanging, strangulation, and suffocation, Y201102,480,18232,336
Drowning and submersion, Y212431,122,71614,638
Firearm discharge, Y22-Y24324842,03710,978
Exposure to smoke, fire, and flames, Y26703,897,42950,814
Falling, jumping, or pushed from a high place, Y30594,624,06860,288
Other and unspecified means and sequelae, Y25, Y27-Y29, Y31-Y34, Y87.2, Y89.9516528,7216,893
Legal Intervention, Y35, Y89.0398685,4778,937
Legal intervention involving firearm discharge, Y35.0299912,44111,896
Legal execution, Y35.5883,100,22740,420
Other and unspecified means and sequelae, Y35.1-Y35.4, Y35.6-Y35.7, Y89.01124,801,818323,361
Operations of War and Sequelae, Y36, Y89.12311,861,739154,651
Complications of Medical and Surgical Care and Sequelae, Y40-Y84, Y88.0-Y88.32,82396,6421,260


If you would like to play along, find an item on this list that definitely fits your own profile. Or, better yet, think of an activity you do that has even the slightest chances of death. Do a little Google searching and find out what the number of deaths for that activity within a given year are. Next, download the following spreadsheet.

OddsOfDeath.xls

I’m going to use two examples to walk you through the spreadsheet. A really good example is an activity like sky diving. It is a total unnecessary risk for someone to take, but it brings satisfaction that is well worth the risk of admission. According to howstuffworks.com (http://adventure.howstuffworks.com/skydiving8.htm) there are 30 deaths per year from skydiving and around 3 million jumps per year.

Inputs into spreadsheet for skydiving example:

Total deaths per year – Input the total death statistic here. As mentioned earlier, for skydiving, this would be a grand total of 30

Estimate the number of times this was done in total per year – Estimate or find a statistic for the number of times this particular activity in was done in a given year. Thankfully, for skydiving, the howstuffworks.com links states that it was around 3 million

Estimated monetary equivalent benefit for doing this – Estimate how much benefit you specifically receive from participating in such an activity. For skydiving I would have to assume that the sheer thrill, the adrenaline rush, the natural high must be so amazing that it could command quite a high price. The rush must feel better than the craziest drugs on the planet but with no side effects (well, except if something goes awry and you die, but other than that…). Is it better than sex? For some people, maybe? I don’t know, I’m going to set the price equivalent to sex with a high class hooker which probably sets one back a cool $5000.  Sex with a high class hooker versus skydiving, they seem roughly equivalent.

Power growth factor for additional risk – There are two models I’ve come up with. The first simply linearly compensates you taking on additional risk which is completely unrealistic. For example, if you are willing to play a 1 in 10 shot of death game for $100, then with this simple model you would be willing to play a 1 in 5 shot of death game for twice as much, $200. Since a person is literally risking it all here, as the probability of death in the game approaches 100% the player will demand more and more as they are having to risk so much. So, the second model corrects this by taking things to a power as we step closer to that 100% certainty of death factor. The input here defines that power and it completely depends on the person. This number is what takes input from some of the factors I first described earlier, current wealth, happiness and life expectancy. The higher the number here indicates the better off you currently are. I’ve set it to 3 which means that we are rewarded by a power of 3 for each additional unit of probability of death we take on.

The results are to follow soon. I’m going to discuss the inputs for another example, namely driving. From the same howstuffworks.com skydiving article, they mention a few key statistics about driving. They state that 40,000 people die each year from driving and estimate that if you drive 10,000 miles per year your odds of death are 1 in 6000.

Inputs into spreadsheet for driving example:

Total deaths per year - 40,000

Estimate the number of times this was done in total per year – According to the Department of Transportation there are just under 200 million drivers in the US. Estimating that they all drive an average of twice per day (mostly to and from work) for 360 days a year, I’m estimating that the activity of driving is done around 144 billion times per year.

Estimated monetary equivalent benefit for doing this – Not much really. Most of the time we’re driving to and from work, to grab groceries, run errands, visit friends or go to the movies. We get some convenience out of it since we don’t have to walk or take public transportation to the destination. I’d say it’s worth $50, but could be more or less depending on the destination. Less if it’s just to get to work, more if it’s to go pick up that hooker from the last example…

Power growth factor for additional risk - I’ve left it at 3 to stay consistent with the previous example.

Results

Skydiving (Linear Model)Skydiving (Growth Model)Driving (Linear Model)Driving (Growth Model)
1M-Chamber Equivalent Reward$500$500$180$2,333
1000-Chamber Equivalent Reward$500,000$5,000,000,000$180,000$2,332,800,000,000
100-Chamber Equivalent Reward$5,000,000$5,000,000,000,000$1,800,000$2,332,800,000,000,000
10-Chamber Equivalent Reward$50,000,000$5,000,000,000,000,000$18,000,000$2,332,800,000,000,000,000
6-Chamber Equivalent Reward$83,333,333$23,148,148,148,148,100$30,000,000$10,800,000,000,000,000,000


Well, there you go folks. We all drive and therefore the price someone should pay you to play Russian roulette is just under 11 quintillion dollars. Quintillion being 10^18. And if you are a crazy skydiver then you should be willing to accept only 23 quadrillion dollars. Quadrillion being 10^15.

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2 Responses

  1. madeupname Says:

    mmm well i cant speak for other people but i would play russian roulette for around 5 million dollars. And no im not crazy lol.

  2. ant Says:

    i will play russian roulette im not scared at all ill do it for 25 grand if any body want me to play contact me pokerdevil86@gmail.com

    im for real

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