explain xkcd - User contributions [en]

2408: Egg Strategies

2021-01-07T07:06:00Z

162.158.78.12: /* Added Citation Needed for Gaston/Gaston-like individuals */

{{comic
| number = 2408
| date = January 6, 2021
| title = Egg Strategies
| image = egg_strategies.png
| titletext = Neutral Evil is for people who like keeping the weight nicely centered in the carton, but also hate everyone else who wants that.
}}

==Eggsplanation==
{{incomplete|Created by an EGG LISTENING ANXIOUSLY TO THE RADIO. Please mention here why this eggsplanation isn't complete. Do NOT delete this tag too soon.}}

This comic shows nine egg cartons, each of which contains between five and eight eggs. The cartons are presented in the format of a ''{{W|Dungeons & Dragons}}'' {{w|Alignment (Dungeons & Dragons)|alignment chart}}. Originally created as a way of categorizing game characters' motivations, the chart has three possibilities on each axis: lawful/neutral/chaotic on the X axis and good/neutral/evil on the Y axis. Used outside its original purpose, the chart has become a meme used for categorizing things it has no real applicability to. This comic is such a meme.

A standard egg carton has 12 cups for 12 eggs, but the egg owner is unlikely to consume all 12 eggs at once{{Citation needed}}. Because of that, the carton will be emptied gradually according to the owners' preference. This comic depicts various possible storage schemes for the unused eggs and assigns them D&D alignments. The final carton, "chaotic evil," shows what appears to be six eggs (counting the yolks) smashed inside the carton.

The center of gravity of the different arrangements shifts as well, contributing to the "goodness" and "lawfulness" of the solutions.

{| class="wikitable"
!Alignment
!Description
!Explanation
|-
|Lawful Good
|Eggs are picked from the edges, with the eggs in the center remaining
|Taking eggs away from the edges of the carton first keeps the center of gravity of the carton in the middle. It also minimizes the moment of inertia, making it easy to rotate the carton to change its orientation. According to Randall, this is considered good.
|-
|Neutral Good
|Eggs are picked from the center of the carton, leaving the eggs on the edges.
|This leaves the center of gravity slightly towards the left. While the center of gravity is at the center of the carton when the number of eggs is even, the carton has a relatively high moment of inertia. Randall interprets this as “Neutral Good”
|-
|Chaotic Good
|Eggs are picked randomly
|Randomly choosing eggs keeps them roughly equally distributed across the carton, while also being chaotic.
|-
|Lawful Neutral
|Eggs are picked from the top row first, then the bottom, starting on one side.
|This is a very organised method of picking eggs from a carton, but the center of mass shifts to one side.
|-
|True Neutral
|Eggs are picked from one side, with both rows being roughly equal.
|
|-
|Chaotic Neutral
|Eggs are picked in a chessboard pattern.
|The center of mass is kept central, but this is a very unusual way of picking eggs from a carton.
|-
|Lawful Evil
|Eggs are kept in the middle of the carton, stacked atop each other in a pyramid shape.
|This keeps the weight nicely centered, but makes it impossible to close the lid of the carton.
|-
|Neutral Evil
|Eggs are stacked in the exact middle of the open carton, in the top row and on the open lid.
|This keeps the weight centered in the carton only when the lid is open. Since the lid is not rigid, someone picking up the carton would have to hold the lid and carton separately so that the eggs don't fall off.
|-
|Chaotic Evil
|Eggs are smashed in the center of the carton.
|The weight is centered but the eggs are broken. They cannot be easily transferred from the carton, and will likely spoil quickly.
|}

An alignment chart was also featured in [[2251: Alignment Chart Alignment Chart]], which was published exactly one year earlier.

==Transcript==
{{incomplete transcript|Do NOT delete this tag too soon.}}
[3x3 grid of egg cartons, each containing between 5-8 eggs in an arrangement matching a description of lawful/neutral/chaotic paired with good/neutral/evil]

[each egg carton is depicted from a top-down view, with the lid open and the eggs and their places visible]

'''Top Left - Lawful Good'''

[6 eggs centered

3 in the top row, shifted to the right

3 in the bottom row, shifted to the left]

'''Top Center - Neutral Good'''

[7 eggs

4 in the left side

3 in the right side, with one in the top row and two in the bottom row]

'''Top Right - Chaotic Good'''

[6 eggs spread randomly]

'''Middle Left - Lawful Neutral'''

[5 eggs all on the bottom row, starting on the left side]

'''Middle Center - True Neutral'''

[7 eggs all to the left side

4 in the top row

3 in the bottom row]

'''Middle Right - Chaotic Neutral'''

[6 eggs staggered in every other space so that each egg is diagonal from the two nearest

no two eggs are directly next to each other side-to-side or up-and-down

3 in the top row, starting in the left most position

3 in the bottom row; starting position second from the left side]

'''Bottom Left - Lawful Evil'''

[8 eggs

6 in the egg carton, centered but offset one place to the left; 3 eggs each on the top and bottom

2 eggs are on top of the 6 that are placed in the carton]

'''Bottom Center - Neutral Evil'''

[8 eggs

3 on the bottom edge of the lid

2 in the top center positions in the egg carton

3 centered on the edge and on top of/between the eggs on the lid and the eggs in the proper positions]

'''Bottom Right - Chaotic Evil'''

[broken eggs in the center of the carton and spilling/splattering over the rest of the carton and onto the lid

6 or 7 yellow-orange yolks are visible

the spilled egg whites are colored light yellow-greenish

several pieces of egg shells, varying in size from approximately one-half to very small chips are mixed in with the yolks and whites]

{{comic discussion}}
[[Category:Charts]]
[[Category:Food]]

Talk:2404: First Thing

2020-12-29T04:14:26Z

162.158.78.12: Nitpicking Randall

Note that Ponytail expects to get one of the mRNA or viral-carrier DNA vaccines, e. g. the Pfizer/BioNTech vaccine or Sputnik 5. Her description would not make sense if she receives the Novavax vaccine (NVX-CoV2373), which contains spike proteins and does not recruit the patient's cells to make them. [[Special:Contributions/162.158.78.12|162.158.78.12]] 04:14, 29 December 2020 (UTC)

2399: 2020 Election Map

2020-12-17T20:40:08Z

162.158.78.12: Added the New Hampshire row

{{comic
| number = 2399
| date = December 16, 2020
| title = 2020 Election Map
| image = 2020_election_map.png
| titletext = There are more Trump voters in California than Texas, more Biden voters in Texas than New York, more Trump voters in New York than Ohio, more Biden voters in Ohio than Massachusetts, more Trump voters in Massachusetts than Mississippi, and more Biden voters in Mississippi than Vermont.
}}

*A [https://xkcd.com/2399/large/ larger version] of this image can be found by clicking the image at xkcd.com - the comic's page can also be accessed by clicking on the comic number above.

==Explanation==
{{incomplete|Created by a BIDEN VOTER IN OHIO. Please mention here why this explanation isn't complete. Do NOT delete this tag too soon.}}
This is a sequel to an earlier comic, [[1939: 2016 Election Map]]. The United States elects its president not directly by popular vote but by an Electoral College composed of a number of electors, partially proportional to population, from each state. Presently, a "winner-take-all" system is used in most states: the winner of the popular vote in each state receives all of the electoral votes for that state. Though, strictly speaking, the electors are not required to cast their ballots according to this system, many states impose penalties on them if they don't. Technically, the popular vote in each state is to elect a slate of electors who in turn elect the President.

Many electoral results map color the states a solid color, indicating which state won the electoral votes, but this may not be representative of the population size of the state, or the number of voters. (The exceptions are the states of Maine and Nebraska, which award only 2 electoral votes to the statewide winner, and 1 to the winner of each congressional district. For example, while Biden won Maine statewide, he only got 3 out of its 4 electoral votes, as Trump got more votes in the 2nd district.)

Randall has also made some attempt to distribute the Cueball icons within a state in a manner similar to how the actual votes were distributed, but this is subject to even more difficulties than "while keeping national totals correct". For example, Michigan's Upper Peninsula has 3% of the Michigan's population, which isn't enough for a Cueball, so it is drawn empty. On the other hand, Western Massachusetts is drawn crowded because the entire area of Massachusetts is needed to fit enough Cueballs on the map. Similarly, Michigan should have had a 10th (or even 11th) red Cueball, and didn't have nearly enough "other" voters for a green Cueball, but the Green Cueballs have to be allocated *somewhere*, and Michigan is big enough to be less unreasonable than Wyoming.

Other maps used to demonstrate that "corn doesn't vote, people vote" (or similar rebuttals, referring to non-voting 'open space') include maps distorting the otherwise recognisable geography to make areas strictly proportional to the populations (or registered voters, actual voters or majority gap) within them. As an example, Los Angeles County, alone, is more populous than each of the states except for the nine most populous (even if you deprived California of it, for the duration) - or all of the ten least populous (plus DC) added together. Alaska, the largest state but with one of the fewest inhabitants, could be split and yet both halves each still cover more land area than Texas (and potentially both Alaskas now ranked firmly at the bottom of the population table).

Another mapping solution used by commentators was to use coloured circles sized to represent the quantities of voters (or majorities) that do something very similar to Randall's map by showing vast areas with small and sparse splotches of hue and other areas packed tightly with the local 'flavour' of votes.

The title text compares different voter pools in terms of absolute size. Unexpected truths - e.g., "There are more Trump voters in California than Texas" - can be explained by differences in population size. California (which was won by Biden) has a larger population than Texas (which was won by Trump), which has a higher population than New York (won by Biden), and so on. For example, Trump received over 6 million votes in California (though Biden received 11 million votes in winning the state) compared to 5.9 million votes received by Trump in Texas.

{| class="wikitable"
!|
!colspan="2"|Biden/Harris
!colspan="2"|Trump/Pence
!rowspan="2"|Total
Votes
|-
!|State
!|Votes
!|Perc
!|Votes
!|Perc
|-
|California
|style="text-align: right;"|11,110,250
|style="text-align: right;"|63.48%
|style="text-align: right;"|6,006,429
|style="text-align: right;"|34.32%
|style="text-align: right;"|17,500,881
|-
|Texas
|style="text-align: right;"|5,259,126
|style="text-align: right;"|46.48%
|style="text-align: right;"|5,890,347
|style="text-align: right;"|52.06%
|style="text-align: right;"|11,315,056
|-
|New York
|style="text-align: right;"|5,230,985
|style="text-align: right;"|60.86%
|style="text-align: right;"|3,244,798
|style="text-align: right;"|37.75%
|style="text-align: right;"|8,594,826
|-
|Ohio
|style="text-align: right;"|2,679,165
|style="text-align: right;"|45.24%
|style="text-align: right;"|3,154,834
|style="text-align: right;"|53.27%
|style="text-align: right;"|5,922,202
|-
|Massachusetts
|style="text-align: right;"|2,382,202
|style="text-align: right;"|65.60%
|style="text-align: right;"|1,167,202
|style="text-align: right;"|32.14%
|style="text-align: right;"|3,631,402
|-
|Mississippi
|style="text-align: right;"|539,508
|style="text-align: right;"|41.06%
|style="text-align: right;"|756,789
|style="text-align: right;"|57.60%
|style="text-align: right;"|1,313,894
|-
|Vermont
|style="text-align: right;"|242,820
|style="text-align: right;"|66.09%
|style="text-align: right;"|112,704
|style="text-align: right;"|30.67%
|style="text-align: right;"|367,428
|}
{{w|2020_United_States_presidential_election#Results_by_state|Source}}

The following table lists the number of 250,000-vote markers in the map by candidate and state, and compares this with the actual number of votes. {{w|2020_United_States_presidential_election#Results_by_state|Source}}
{| class="wikitable"
!|
!colspan="3"|Biden/Harris
!colspan="3"|Trump/Pence
!colspan="3"|Others
!colspan="3"|Total
|-
!|State
!|Markers
!|Votes
!|Actual votes
!|Markers
!|Votes
!|Actual votes
!|Markers
!|Votes
!|Actual votes
!|Markers
!|Votes
!|Actual votes
|-
|Alabama (AL)
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|849,624
|style="text-align: right;"|6
|style="text-align: right;"|1,500,000
|style="text-align: right;"|1,441,170
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|32,488
|style="text-align: right;"|9
|style="text-align: right;"|2,250,000
|style="text-align: right;"|2,323,282
|-
|Alaska (AK)
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|153,778
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|189,951
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|15,801
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|359,530
|-
|Arizona (AZ)
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,672,143
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,661,686
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|53,497
|style="text-align: right;"|14
|style="text-align: right;"|3,500,000
|style="text-align: right;"|3,387,326
|-
|Arkansas (AR)
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|423,932
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|760,647
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|34490
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,219,069
|-
|California (CA)
|style="text-align: right;"|44
|style="text-align: right;"|11,000,000
|style="text-align: right;"|11,110,250
|style="text-align: right;"|24
|style="text-align: right;"|6,006,429
|style="text-align: right;"|6,000,000
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|384,202
|style="text-align: right;"|70
|style="text-align: right;"|17,500,000
|style="text-align: right;"|17,500,881
|-
|Colorado (CO)
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,804,352
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,364,607
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|88,021
|style="text-align: right;"|13
|style="text-align: right;"|3,250,000
|style="text-align: right;"|3,256,980
|-
|Connecticut (CT)
|style="text-align: right;"|4.5
|style="text-align: right;"|1,125,000
|style="text-align: right;"|1,080,680
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|715,291
|style="text-align: right;"|0.5
|style="text-align: right;"|125,000
|style="text-align: right;"|28,309
|style="text-align: right;"|8
|style="text-align: right;"|2,000,000
|style="text-align: right;"|1,824,280
|-
|Delaware (DE)
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|296,268
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|200,603
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|7,475
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|504,346
|-
|District of Columbia (DC)
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|317,323
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|18,586
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|8,447
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|344,356
|-
|Florida (FL)
|style="text-align: right;"|21
|style="text-align: right;"|5,250,000
|style="text-align: right;"|5,297,045
|style="text-align: right;"|23
|style="text-align: right;"|5,750,000
|style="text-align: right;"|5,668,731
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|101,680
|style="text-align: right;"|45
|style="text-align: right;"|11,250,000
|style="text-align: right;"|11,067,456
|-
|Georgia (GA)
|style="text-align: right;"|10
|style="text-align: right;"|2,500,000
|style="text-align: right;"|2,473,633
|style="text-align: right;"|10
|style="text-align: right;"|2,500,000
|style="text-align: right;"|2,461,854
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|62,229
|style="text-align: right;"|20
|style="text-align: right;"|5,000,000
|style="text-align: right;"|4,997,716
|-
|Hawaii (HI)
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|366,130
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|196,864
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|11,475
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|574,469
|-
|Idaho (ID)
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|287,021
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|554,119
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|26,874
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|868,014
|-
|Illinois (IL)
|style="text-align: right;"|14
|style="text-align: right;"|3,500,000
|style="text-align: right;"|3,471,915
|style="text-align: right;"|10
|style="text-align: right;"|2,500,000
|style="text-align: right;"|2,446,891
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|114,938
|style="text-align: right;"|25
|style="text-align: right;"|6,250,000
|style="text-align: right;"|6,033,744
|-
|Indiana (IN)
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,242,416
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,729,519
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|61,183
|style="text-align: right;"|12
|style="text-align: right;"|3,000,000
|style="text-align: right;"|3,033,118
|-
|Iowa (IA)
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|759,061
|style="text-align: right;"|4
|style="text-align: right;"|1,000,000
|style="text-align: right;"|897,672
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|34,138
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,690,871
|-
|Kansas (KS)
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|570,323
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|771,406
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|30,574
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,372,303
|-
|Kentucky (KY)
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|772,474
|style="text-align: right;"|6
|style="text-align: right;"|1,500,000
|style="text-align: right;"|1,326,646
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|37,648
|style="text-align: right;"|9
|style="text-align: right;"|2,250,000
|style="text-align: right;"|2,136,768
|-
|Louisiana (LA)
|style="text-align: right;"|4
|style="text-align: right;"|1,000,000
|style="text-align: right;"|856,034
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,255,776
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|36,252
|style="text-align: right;"|9
|style="text-align: right;"|2,250,000
|style="text-align: right;"|2,148,062
|-
|Maine (ME)
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|435,072
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|360,737
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|23,652
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|819,461
|-
|Maryland (MD)
|style="text-align: right;"|8
|style="text-align: right;"|2,000,000
|style="text-align: right;"|1,985,023
|style="text-align: right;"|4
|style="text-align: right;"|1,000,000
|style="text-align: right;"|976,414
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|75,593
|style="text-align: right;"|12
|style="text-align: right;"|3,000,000
|style="text-align: right;"|3,037,030
|-
|Massachusetts (MA)
|style="text-align: right;"|10
|style="text-align: right;"|2,500,000
|style="text-align: right;"|2,382,202
|style="text-align: right;"|4
|style="text-align: right;"|1,000,000
|style="text-align: right;"|1,167,202
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|81,998
|style="text-align: right;"|15
|style="text-align: right;"|3,750,000
|style="text-align: right;"|3,631,402
|-
|Michigan (MI)
|style="text-align: right;"|11
|style="text-align: right;"|2,750,000
|style="text-align: right;"|2,804,040
|style="text-align: right;"|9
|style="text-align: right;"|2,250,000
|style="text-align: right;"|2,649,852
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|85,410
|style="text-align: right;"|21
|style="text-align: right;"|5,250,000
|style="text-align: right;"|5,539,302
|-
|Minnesota (MN)
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,717,077
|style="text-align: right;"|6
|style="text-align: right;"|1,500,000
|style="text-align: right;"|1,484,065
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|76,029
|style="text-align: right;"|13
|style="text-align: right;"|3,250,000
|style="text-align: right;"|3,277,171
|-
|Mississippi (MS)
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|539,508
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|756,789
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|17,597
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,313,894
|-
|Missouri (MO)
|style="text-align: right;"|5
|style="text-align: right;"|1,250,000
|style="text-align: right;"|1,253,014
|style="text-align: right;"|7
|style="text-align: right;"|1,750,000
|style="text-align: right;"|1,718,736
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|54,212
|style="text-align: right;"|12
|style="text-align: right;"|3,000,000
|style="text-align: right;"|3,025,962
|-
|Montana (MT)
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|244,786
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|343,602
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|15,286
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|603,674
|-
|Nebraska (NE)
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|374,583
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|556,846
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|25,044
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|956,383
|-
|Nevada (NV)
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|703,486
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|669,890
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|32,000
|style="text-align: right;"|6
|style="text-align: right;"|1,500,000
|style="text-align: right;"|1,405,376
|-
|New Hampshire (NH)
|style="text-align: right;"|2
|style="text-align: right;"|500,000
|style="text-align: right;"|424,937
|style="text-align: right;"|1
|style="text-align: right;"|250,000
|style="text-align: right;"|365,660
|style="text-align: right;"|0
|style="text-align: right;"|0
|style="text-align: right;"|13,236
|style="text-align: right;"|3
|style="text-align: right;"|750,000
|style="text-align: right;"|790,597
|-
|New Jersey (NJ)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|New Mexico (NM)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|New York (NY)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|North Carolina (NC)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|North Dakota (ND)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Ohio (OH)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Oklahoma (OK)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Oregon (OR)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Pennsylvania (PA)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Rhode Island (RI)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|South Carolina (SC)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|South Dakota (SD)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Tennessee (TN)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Texas (TX)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Utah (UT)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Vermont (VT)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Virginia (VA)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Washington (WA)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|West Virginia (WV)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Wisconsin (WI)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Wyoming (WY)
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|-
|Total
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|style="text-align: right;"|
|}

==Transcript==

:2020 Election Map
:[One stick figure in a black circle] = 250,000 votes
:[Stick figure in a blue circle] Biden
:[Stick figure in a red circle] Trump
:[Stick figure in a green circle] Other
:Votes are distributed by state as accurately as possible while keeping national totals correct.
:Location within each state is approximate.
:[Blue, red, and green circles are distributed across a map of the United States.]

{{comic discussion}}
[[Category:Politics]]
[[Category:Elections]]
[[Category:Comics with color]]
[[Category:Large drawings]]
[[Category:Comics featuring politicians]]
[[Category:Maps]]