# Estimating Lifetime Heart Beats

In addition to with the can also help us to answer difficult questions. For example, calculating how many heart beats an average person experiences during their lifetime seems daunting. With the chain-link method we can come up with an estimated value relatively quickly. A search of the internet finds that the average life expectancy in the U.S. is 78.8 years^{[1]} and that the typical value for adult heart rate is between 60 **BPM** and 100 **BPM**^{[2]} so let’s take the middle-range value of 80 **BPM** and go from there.

### Everyday Examples: Heart Beats Per Lifetime

We start with the average lifespan, which we will round to 80 years for simplicity:

We have estimated that one lifetime will contain over three billion beats!

That’s a big number! In fact, it’s over three billion beats. As it turns out, humans are quite special among animals in the number of heartbeats per lifetime we experience. Visit the website of the beats per lifetime project^{[3]} for more information and an interactive look at heart rate statistics for various species.

In the previous calculation we chose to use a heart rate of 80 **BPM**, which was an rather than an actual measurement or calculation. Therefore, our answer is only an estimate. However, we don’t expect anyone who lives to adulthood will get anywhere near 10x more or 10x fewer beats than this, so our answer is within an of what most people experience. Combining several already known, easily found, or approximate values to get a general idea of how big an answer should be, as we just did for beats per lifetime, provides an ** . ** Play with this simulation to practice estimating sizes using only visual cues.

# Estimation and Approximation

Order of magnitude estimation often relies on approximate values, so *order of magnitude estimate *and approximation are often used interchangeably. Adding to confusion, approximation is often used interchangeably with or uses approximation to describe a quick, rough measurement with a high degree of . In order to maximize clarity this textbook will strive to stick to using terms as defined according to the following table.

Term |
Definition |
Everyday Example |

Assumption | Ignoring some compilation of the in order to simplify the analysis or proceed even though information is lacking. Scientists state assumptions, justify why they were needed, and estimate their possible impact on results. | My cotton clothes are completely soaked through, so I assume they are not providing any insulating effect against the cold water. |

Approximation
Approximate |
Act of coming up with a rough value using prior knowledge and assumptions, but not by making a measurement for the purpose of determining the value. | The water feels cold, but not shocking, similar to the 70 °F swimming lake, so the approximate water temperature is 70 °F. |

Uncertainty (more about this later) | Amount by which a measured, calculated, or approximated value could be different from the actual value. | 85 °F would feel comfortable like the 82 °F college pool and 55 °F feels very cold, so + 15 F° is my uncertainty from 70 °F. |

Order of Magnitude Estimate | Result of combining assumptions, approximate values, and/or measurements with large uncertainty to calculate an answer with large uncertainty, but has the correct order of magnitude. | Using known data, I estimated my time to exhaustion or loss of consciousness to be 5 hours (less than 50 hours and more than 0.5 hours). |

# Metric Prefixes

Considering that our beats per lifetime answer is only an , we should round our final answer to have fewer . Let’s make it 3,000,000,000 beats per lifetime (**BPL**), or three billion **BPL**. A bit later in the chapter we will define what we mean by and significant figures and also talk more about why, when, and how we have to do this kind of rounding. For now, we notice that it’s a bit distracting and a bit annoying writing out all those zeros, so by counting that there are nine places before the first digit we can use and instead write: **BPL**. Alternatively we can use a . The prefix for 10^{9} is Giga (**G**) so we can write: 3 ** GBPL **(read as gigabeats per lifetime). The table below shows the common metric prefixes. For a much more comprehensive list of prefixes visit the NIST website. One advantage of using metric units is that the different size units are related directly by factors of ten. For example 1 meter = 100

**cm**rather than 1 foot = 12 inches.

Prefix |
Symbol |
Value |
Example (some are approximate) |
|||

exa | E | 10^{18} |
exameter | Em | 10^{18} m |
distance light travels in a century |

peta | P | 10^{15} |
petasecond | Ps | 10^{15} s |
30 million years |

tera | T | 10^{12} |
terawatt | TW | 10^{12} W |
powerful laser output |

giga | G | 10^{9} |
gigahertz | GHz | 10^{9} Hz |
a microwave frequency |

mega | M | 10^{6} |
megacurie | MCi | 10^{6} Ci |
high radioactivity |

kilo | k | 10^{3} |
kilometer | km | 10^{3} m |
about 6/10 mile |

hecto | h | 10^{2} |
hectoliter | hL | 10^{2} L |
26 gallons |

deka | da | 10^{1} |
dekagram | dag | 10^{1} g |
teaspoon of butter |

– | – | 10^{0} =1 |
– | – | – | |

deci | d | 10^{-1} |
deciliter | dL | 10^{-1} L |
less than half a soda |

centi | c | 10^{-2} |
centimeter | cm | 10^{-2} m |
fingertip thickness |

milli | m | 10^{-3} |
millimeter | mm | 10^{-3} m |
flea at its shoulders |

micro | µ | 10^{-6} |
micrometer | µm | 10^{-6} m |
detail in microscope |

nano | n | 10^{-9} |
nanogram | ng | 10^{-9} g |
small speck of dust |

pico | p | 10^{-12} |
picofarad | pF | 10^{-12} F |
small capacitor in radio |

femto | f | 10^{-15} |
femtometer | fm | 10^{-15} m |
size of a proton |

atto | a | 10^{-18} |
attosecond | as | 10^{-18} s |
time light crosses an atom |

### Reinforcement Exercises

act of ensuring that the units resulting from a calculation match the type of quantity calculated.

a specific method for unit conversion that is designed to aid in reducing mistakes.

a rough value obtained without making a measurement by using prior knowledge and assumptions.

designating which power of 10 (e.g. 1,10,100,100)

the process of approximating a value to obtain a result you expect to at least be within one order of magnitude of the correct answer.

ignoring some compilation of the in order to simplify the analysis or proceed even though information is lacking

Amount by which a measured, calculated, or approximated value could be different from the actual value

each of the digits of a number that are used to express it to the required degree of accuracy, starting from the first nonzero digit

a way of writing very large or very small numbers. A number is written in scientific notation when a number between 1 and 10 is multiplied by a power of 10.

a unit prefix that precedes a basic unit of measure to indicate a multiple or fraction of the unit