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8.2 Fermi Problems: Difference between revisions

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[[File:Topic Cover - 8.2 Fermi Problems.png|thumb]]
{{Cover|8.2 Fermi Problems}}


Estimating quantities based on what we know.
Physicists train their students in doing "Fermi problems," back-of-the-envelope estimates of quantities that arise in physical problems and in life. This is useful as an approach to performing "sanity checks" of claims in the world and of your own ideas and beliefs. Checking numbers with quick Fermi estimates may be even more important in a world in which it is difficult to evaluate the credibility of numbers quoted in news articles or social media posts.  
 
{{Navbox}}


== The Lesson in Context ==
== The Lesson in Context ==
Line 10: Line 8:
It is often important to have a rough idea about the size of a number for the purpose of decision making. Even if the quantity is difficult to immediately visualize, it is often possible to estimate it by multiplying smaller numbers that we do have an idea about, a technique called Fermi estimation. In this lesson, we walk students through a couple of simple Fermi problems and give them the opportunity to solve new ones on their own.
It is often important to have a rough idea about the size of a number for the purpose of decision making. Even if the quantity is difficult to immediately visualize, it is often possible to estimate it by multiplying smaller numbers that we do have an idea about, a technique called Fermi estimation. In this lesson, we walk students through a couple of simple Fermi problems and give them the opportunity to solve new ones on their own.


<!-- Expandable section relating this lesson to earlier lessons. -->
<!-- Expandable section relating this lesson to other lessons. -->
{{Expand|Relation to Earlier Lessons|
{{Expand|Relation to Other Lessons|
'''Earlier Lessons'''
{{ContextLesson|8.1 Orders of Understanding}}
{{ContextLesson|8.1 Orders of Understanding}}
{{ContextRelation|For causal problems that can be quantified, e.g. carbon emissions, water usage, budget, Fermi estimation is often a good way to compare the order of importance of different causes.}}
{{ContextRelation|For causal problems that can be quantified, e.g. carbon emissions, water usage, budget, Fermi estimation is often a good way to compare the order of importance of different causes.}}
}}
{{Line}}
<!-- Expandable section relating this lesson to later lessons. -->
'''Later Lessons'''
{{Expand|Relation to Later Lessons|
{{ContextLesson|14.1 Scenario Planning}}
{{ContextLesson|14.1 Scenario Planning}}
{{ContextRelation|When planning for future scenarios, one can make rough Fermi estimates for the magnitude of the impact of each scenario.}}
{{ContextRelation|When planning for future scenarios, one can make rough Fermi estimates for the magnitude of the impact of each scenario.}}
}}
}}
== Takeaways ==
== Takeaways ==


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<br />
<br />


</tabber>
|-|Examples=


== Useful Resources ==
{{Exemplary
 
|{{Blockquote|He's suggesting that the Federal budget deficit is due to the money we spend on job training programs. But that's ridiculous! Even if every single person out of work—let's imagine that it is 10% of the working-age population (say 10 million people out of work)—went to a job training program that cost as much as a year of college at a good university (say, $40,000), that would cost 400 billion dollars. Hmm... well that's not quite as small as I expected, but it's still not trillions of dollars, and furthermore I am sure we aren't spending that much on each person for job training. Let see, can I estimate that cost per person in some more realistic way than using college costs...}}
<tabber>
{{Blockquote|There are about 1500 students in the introductory to computer science class at UC Berkeley. Each final is about 10 printed pages long. A rough guess of the cost of printing one page for bulk orders like this is probably around $0.05 per page. That means the University spends around $750 in printing fees to administer one test.|[https://www.staples.com/sbd/content/copyandprint/copiesanddocuments.html Source]}}
 
{{Blockquote|Claim: The university profits on each college application they receive, so are incentivized to get as many people to apply even though they know they won't accept them. Estimate: The application fee for UC Berkeley is $70. It probably takes an hour total for every admissions officer to read an application and the committee to agree. Let's say the average salary of an admissions officer is $100,000 a year. If they work for 50 weeks a year for 40 hours a week that means their average salary is about $50 an hour. That would mean that the university makes a seemingly sizable profit on each application.}}
|-|Lecture Video=
{{Blockquote|In American journalist Richard Harding Davis' account of the German Army's march through Brussels in the first World War he claims that the German army marched unbroken for "three days and three nights" through the city. Is this believable? 3 days and 3 nights is 72 hours. Let's say the average marching speed of a soldier is 5 mph. That would mean the German army stretched backwards for 5 mph * 72 h = 360 miles backwards from the city. Let's say the Germans march in columns two soldiers wide. Each row probably has about 3 feet of space in front of it. 360 miles * 5280 feet per mile ≃ 1.9 million feet. 1.9 million feet * 2 soldiers / 3 feet ≃ 1.27 million soldiers. The actual size of the German army in the first World War numbered in the millions and the main force passed through Belgium to reach France, so this number is very plausible.|[http://www.columbia.edu/~jef1/brussels.html Source]}}
 
{{Blockquote|Question: How much do you think a 747 weighs? "A car fits about 5 people and weighs about 2 tons. A 747 fits maybe 500 people. Although airliners have much longer range than cars they are also designed to be much lighter because they have to fly. Carrying 100x more people therefore might make the weight of a 747 about 200 tons. The actual empty weight of a 747 is about 203 tons."|[https://www.topspeed.com/aviation/aviation-reviews/boeing/2002-2010-boeing-747-400er-freighter-ar86141.html Source]}}
<br /><center><youtube>zD-dX1lY4yY</youtube></center><br />
 
|-|Discussion Slides=
 
{{LinkCard
|url=https://docs.google.com/presentation/d/1D9AqU399HJq06vzxs5Au3keVTNJWMfUCoMieWWNjnP4/
|title=Discussion Slides Template
|description=The discussion slides for this lesson.
}}
}}
<br />


|-|Handouts and Activities=
|-|Expanded Learning Goals=
 
{{LinkCardInternal
|url=:File:Fermi Problems Worksheet.pdf
|title=Fermi Problems Worksheet
|description=Worksheet used for all the activities in this lesson.}}
<br />
 
|-|Readings and Assignments=
 
{{LinkCardInternal
|url=:File:How Many Licks Or, How to Estimate Damn Near Anything - Santos.pdf
|title=How Many Licks: Or, How to Estimate Damn Near Anything
|description=Aaron Santos on Fermi estimates.}}
<br />


After this lesson, students should
# Attitudes
## Be confident in one's ability to make a reasonable magnitude estimate of quantities for which one has no intuitive guess or direct knowledge.
# Concept Acquisition
## '''Fermi Estimates:''' A systematic estimate of a quantity based on what you know. The typical goal is to get within an order of magnitude of the right answer. (This often proves possible even for topics about which you know very little.)
### Decompose the problem into multiple components that you can estimate. (Break down unfamiliar components into familiar components.)
### Estimate components using approximations.
### Combine estimated components to calculate the Fermi estimate.
### Compute upper and lower bounds (maximum and minimum quantities above/below between which you are fairly confident the correct estimate should be).
## '''Order of Magnitude:''' Factor of ten.
# Concept Application
## Identify quantities that would and would not be appropriate to estimate with a Fermi calculation.
## Provide rough estimates for real-world quantities using "back-of-the-envelope" (Fermi) approximations.
## Evaluate the credibility of quantitative statements using "back-of-the-envelope" approximations.
## Use Fermi estimates to identify first, second, third order causes for example problems, and estimate their effect sizes.
</tabber>
</tabber>


== Recommended Outline ==
{{#restricted:{{Private:8.2 Fermi Problems}}}}
 
{{NavCard|chapter=Lesson plans|text=All lesson plans|prev=8.1 Orders of Understanding|next=9.1 Heuristics}}
=== Before Class ===
 
Familiarize yourself with [[:File:Fermi Problems Worksheet.pdf|the worksheet]] and print it.
 
=== During Class ===
 
{| class="wikitable" style="margin-left: 0px; margin-right: auto;"
|5 Minutes
|Introduce the lesson and go over the plan for the day. Make sure people have groups, spokespeople, etc.
|-
|15 Minutes
|Run through the [[#American Spending on Gasoline|gasoline spending]] activity.
|-
|45 Minutes
|Let the students work in small groups on the [[#Government Spending|government spending]] activity.
|-
|15 Minutes
|Use any remaining time to work on the optional [[#Additional Problems|additional problems]]. If you don't have a separate lecture to go through the solutions to the [[#Government Spending|government spending]] problems, you should use this time to do so.
|}
 
== Lesson Content ==
 
=== American Spending on Gasoline ===
 
In this activity, you break down an especially complex Fermi problem into its constituent parts in front of the class. This demonstrates to these problems get broken down.
{{BoxCaution|Students sometimes read too much into the complexity of this example. They over-complicate the problems they solve on their worksheets. Make sure to emphasize the importance of breaking down problems into the quantities that are easiest to estimate and aiming for first order causes. Going into further detail is often unnecessary and may not even improve the quality of our estimates.}}
==== Instructions ====
 
{| class="wikitable" style="margin-left: 0px; margin-right: auto;"
|1 Minute
|[[#Quick Poll|Quickly poll]] the students on how much they think Americans spend on gas each year.
|-
|14 Minutes
|[[#Estimation Steps|Break down the actual problem]] as shown below. Explain how the units cancel out. You may draw this tree diagram step by step on a whiteboard. As you go through the thought process, have the students shout out their estimates for each of the quantities listed.
|}
 
==== Quick Poll ====
 
Ask the students to quickly guess answers to the question, "How much do Americans spend on gas each year?"
<ol style="list-style-type:lower-alpha">
    <li>Between zero and 10 million?</li>
    <li>Between 10 million and 1 billion?</li>
    <li>Between 1 billion and 100 billion?</li>
    <li>Between 100 billion and 1 trillion?</li>
</ol>
Rather than just ''giving'' your students the answer, you demonstrate [[#Estimation Steps|how it can be solved]] with a Fermi estimate.
 
==== Estimation Steps ====
 
[[File:Gasoline Spending Tree.png|thumb]]
You can break down the estimation as per the figure.
 
How close was your students' original order-of-magnitude guess to our final Fermi estimate?
 
Optionally, ask your students how would we go about calculating the plausible upper bound and lower bound estimates? For what purposes might it be useful to calculate upper and lower bounds?
{{BoxAnswer|Estimate an upper bound and lower bound for each estimate entering the Fermi calculation, where a rough number isn't known. Calculate it out to get a high bound and low bound.<br /><br />This might be useful if you're particularly unsure about some of your estimates.}}
=== Government Spending ===
 
In [[8.1 Orders of Understanding]], students simply guessed the order of government spending in three categories. In this activity, students will work in small groups, using Fermi estimation to get more concrete estimates for these quantities.
{{BoxCaution|These problems should ''not'' take as many steps or components as the gasoline example.}}
{{LinkCardInternal
|url=:File:Fermi Problems Worksheet.pdf
|title=Fermi Problems Worksheet
|description=Worksheet used for all the activities in this lesson.}}
==== Instructions ====
 
{| class="wikitable" style="margin-left: 0px; margin-right: auto;"
|2 Minutes
|Share [[:File:Fermi Problems Worksheet.pdf|the worksheet]] with your students.
|-
|43 Minutes
|Let students work on the worksheet in small groups and frequently offer assistance and guidance, without giving away any answers. Feel free to move on to the optional Fermi problems below if students finish this activity early.
|}
 
=== Additional Problems ===
{{BoxWarning|This activity is optional and should only be done if you don't have the time to demonstrate solutions to the [[#Government Spending|government spending]] problems in a separate lesson.}}
Have the students estimate in small groups any of the following quantities. Encourage them to give a lower and upper bound, as opposed to a single value. These problems were chosen as as to have a diversity of units and types of quantities being estimated.
# Amount of food thrown in landfills in America every year.
# The weight of all food an army battalion would have to bring on a 200-mile march across a rainforest.
# The amount of water used to irrigate all the front lawns in Los Angeles in one year.
# The total weight of tea (leaves) consumed by the British in one year.
# As a laptop keyboard engineer, how many repeated key presses would you have to rate any individual key for, so that consumers do not typically encounter the malfunctioning of any key?
#How much water would hotels in America save if they all went from refreshing guest towels daily to refreshing them only when left on the floor or for new guests?
# How much clothing gets thrown out in the United States?
# How many ties were bought in the U.S. in 2019?
# How many pieces of paper does the average American college student go through in four years?
# What percentage of the US GDP changes hands on an average Wednesday?
# How much money, in total, did Americans spend on restaurants in 2019? (these 2019 questions are because Covid mixed things up.)
# What percentage of total adult life hours is spent taking care of children? (Restrict to the US to make easier.){{NavCard|prev=8.1 Orders of Understanding|next=9.1 Heuristics}}
[[Category:Lesson plans]]
[[Category:Lesson plans]]

Latest revision as of 23:14, 11 June 2026

Physicists train their students in doing "Fermi problems," back-of-the-envelope estimates of quantities that arise in physical problems and in life. This is useful as an approach to performing "sanity checks" of claims in the world and of your own ideas and beliefs. Checking numbers with quick Fermi estimates may be even more important in a world in which it is difficult to evaluate the credibility of numbers quoted in news articles or social media posts.

The Lesson in Context

It is often important to have a rough idea about the size of a number for the purpose of decision making. Even if the quantity is difficult to immediately visualize, it is often possible to estimate it by multiplying smaller numbers that we do have an idea about, a technique called Fermi estimation. In this lesson, we walk students through a couple of simple Fermi problems and give them the opportunity to solve new ones on their own.

Earlier Lessons

8.1 Orders of Understanding
  • For causal problems that can be quantified, e.g. carbon emissions, water usage, budget, Fermi estimation is often a good way to compare the order of importance of different causes.

Later Lessons

14.1 Scenario Planning
  • When planning for future scenarios, one can make rough Fermi estimates for the magnitude of the impact of each scenario.

Takeaways

After this lesson, students should

  1. Be confident in their ability to make a reasonable magnitude estimate of quantities for which they have no direct knowledge.
  2. Identify quantities that would and would not be appropriate to estimate with a Fermi calculation.
  3. Provide rough estimates for real-world quantities using "back-of-the-envelope" (Fermi) approximations.
  4. Evaluate the credibility of quantitative statements using "back-of-the-envelope" approximations.
  5. Use Fermi estimates to identify first, second, third order causes for example problems, and estimate their effect sizes.

Fermi Estimate

A systematic estimate of a quantity based on what you know. The typical goal is to get within an order of magnitude of the right answer. (This often proves possible even for topics about which you know very little.) The steps to do this are the following.
  1. Decompose the problem into multiple components that you can estimate. (Break down unfamiliar components into familiar components).
  2. Estimate components using approximations.
  3. Combine estimated components to calculate Fermi estimate.
  4. Optional: Compute upper and lower bounds (maximum and minimum quantities above/below between which you are fairly confident the correct estimate should be).


Exemplary Quotes

He's suggesting that the Federal budget deficit is due to the money we spend on job training programs. But that's ridiculous! Even if every single person out of work—let's imagine that it is 10% of the working-age population (say 10 million people out of work)—went to a job training program that cost as much as a year of college at a good university (say, $40,000), that would cost 400 billion dollars. Hmm... well that's not quite as small as I expected, but it's still not trillions of dollars, and furthermore I am sure we aren't spending that much on each person for job training. Let see, can I estimate that cost per person in some more realistic way than using college costs...

There are about 1500 students in the introductory to computer science class at UC Berkeley. Each final is about 10 printed pages long. A rough guess of the cost of printing one page for bulk orders like this is probably around $0.05 per page. That means the University spends around $750 in printing fees to administer one test.

Claim: The university profits on each college application they receive, so are incentivized to get as many people to apply even though they know they won't accept them. Estimate: The application fee for UC Berkeley is $70. It probably takes an hour total for every admissions officer to read an application and the committee to agree. Let's say the average salary of an admissions officer is $100,000 a year. If they work for 50 weeks a year for 40 hours a week that means their average salary is about $50 an hour. That would mean that the university makes a seemingly sizable profit on each application.

In American journalist Richard Harding Davis' account of the German Army's march through Brussels in the first World War he claims that the German army marched unbroken for "three days and three nights" through the city. Is this believable? 3 days and 3 nights is 72 hours. Let's say the average marching speed of a soldier is 5 mph. That would mean the German army stretched backwards for 5 mph * 72 h = 360 miles backwards from the city. Let's say the Germans march in columns two soldiers wide. Each row probably has about 3 feet of space in front of it. 360 miles * 5280 feet per mile ≃ 1.9 million feet. 1.9 million feet * 2 soldiers / 3 feet ≃ 1.27 million soldiers. The actual size of the German army in the first World War numbered in the millions and the main force passed through Belgium to reach France, so this number is very plausible.

Question: How much do you think a 747 weighs? "A car fits about 5 people and weighs about 2 tons. A 747 fits maybe 500 people. Although airliners have much longer range than cars they are also designed to be much lighter because they have to fly. Carrying 100x more people therefore might make the weight of a 747 about 200 tons. The actual empty weight of a 747 is about 203 tons."

After this lesson, students should

  1. Attitudes
    1. Be confident in one's ability to make a reasonable magnitude estimate of quantities for which one has no intuitive guess or direct knowledge.
  2. Concept Acquisition
    1. Fermi Estimates: A systematic estimate of a quantity based on what you know. The typical goal is to get within an order of magnitude of the right answer. (This often proves possible even for topics about which you know very little.)
      1. Decompose the problem into multiple components that you can estimate. (Break down unfamiliar components into familiar components.)
      2. Estimate components using approximations.
      3. Combine estimated components to calculate the Fermi estimate.
      4. Compute upper and lower bounds (maximum and minimum quantities above/below between which you are fairly confident the correct estimate should be).
    2. Order of Magnitude: Factor of ten.
  3. Concept Application
    1. Identify quantities that would and would not be appropriate to estimate with a Fermi calculation.
    2. Provide rough estimates for real-world quantities using "back-of-the-envelope" (Fermi) approximations.
    3. Evaluate the credibility of quantitative statements using "back-of-the-envelope" approximations.
    4. Use Fermi estimates to identify first, second, third order causes for example problems, and estimate their effect sizes.

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