diff --git a/COPYING b/COPYING
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+++ b/COPYING
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+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
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+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<http://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<http://www.gnu.org/philosophy/why-not-lgpl.html>.
diff --git a/Hjugement.hs b/Hjugement.hs
new file mode 100644
--- /dev/null
+++ b/Hjugement.hs
@@ -0,0 +1,7 @@
+module Hjugement
+ ( module Hjugement.Majority
+ , IsList(..)
+ ) where
+
+import Hjugement.Majority
+import GHC.Exts (IsList(..))
diff --git a/Hjugement/Majority.hs b/Hjugement/Majority.hs
new file mode 100644
--- /dev/null
+++ b/Hjugement/Majority.hs
@@ -0,0 +1,223 @@
+{-# LANGUAGE TypeFamilies #-}
+module Hjugement.Majority where
+
+import Data.Function (on)
+import Data.List
+import Data.Map.Strict (Map)
+import Data.Maybe (fromMaybe)
+import Data.Ord (Down(..))
+import Data.Semigroup (Semigroup(..))
+import Data.Set (Set)
+import GHC.Exts (IsList(..))
+import qualified Data.Map.Strict as Map
+import qualified Data.Set as Set
+
+-- * Type 'Choices'
+type Choices prop = Set prop
+
+-- | Return a set of 'Choices' by enumerating the alternatives of its type. Useful on sum types.
+choices :: (Bounded prop , Enum prop , Ord prop) => Choices prop
+choices = Set.fromList (enumFrom minBound)
+
+-- * Type 'Scale'
+data Scale grade
+ =   Scale
+ {   scaleGrades :: Set grade
+     -- ^ How many 'grade's should be used?
+     -- A greater number of 'grade's permits a finer distinction but demands
+     -- a higher degree of expertise and discernment.
+     -- The optimal number is the highest number of 'grade's that constitutes a common language,
+     -- that is, that allows 'judge's to make absolute judgments.
+     -- Too little 'grade's may lead too often to ties.
+     -- 
+     -- Note, however, that if the inputs or grades depend on the set of choices,
+     -- i.e. if judges change their grades when choices are added or dropped,
+     -- then the Arrow paradox cannot be avoided.
+     -- To avoid this the scale must be fixed and absolute
+     -- so that more or fewer choices does not change
+     -- the inputs or messages of other choices.
+ ,   scaleDefault :: grade
+     -- ^ For instance, when a 'judge' gives no 'grade' or has “no opinion”,
+     -- 'scaleDefault' could mean that the 'judge' chooses “To Reject” the choice:
+     -- the rationale being that a 'judge' having “no opinion”
+     -- concerning a choice has not even taken the time to evaluate it
+     -- and thus has implicitly rejected it.
+ } deriving (Eq, Show)
+
+-- | Return a 'Scale' by enumerating the alternatives of its type. Useful on sum types.
+scale :: (Bounded grade, Enum grade, Ord grade) => Scale grade
+scale = Scale { scaleGrades  = Set.fromList (enumFrom minBound)
+              , scaleDefault = toEnum 0
+              }
+
+-- | Return a 'Scale' from a list of 'grade's and a default 'grade'.
+-- Useful with 'grade's whose type has no 'Ord' instance
+-- or a different one than the one wanted.
+scaleOfList :: Eq a => [a] -> a -> Scale Int
+scaleOfList gs dg = Scale is di
+	where
+	is = fromList $ findIndices (const True) gs
+	di = fromMaybe (error "default grade not in the scale") $ dg`elemIndex`gs
+
+gradeOfScale :: [a] -> Int -> a
+gradeOfScale = (!!)
+
+-- * Type 'Jury'
+type Jury judge = Set judge
+
+-- | Return a 'Jury' by enumerating the alternatives of its type. Useful on sum types.
+jury :: (Bounded judge , Enum judge , Ord judge) => Jury judge
+jury = Set.fromList (enumFrom minBound)
+
+-- * Type 'Opinion'
+-- | Profile of opinions of one single 'judge' about some 'prop'ositions.
+type Opinion prop grade = Map prop grade
+
+-- | Construct the 'Opinion' of a 'judge' about some 'prop'ositions implicit from their type.
+opinion :: (Enum prop, Bounded prop, Ord prop) =>
+           judge -> [grade] ->
+           (judge, Opinion prop grade)
+opinion j gs = (j, Map.fromList (zip (enumFrom minBound) gs))
+
+-- ** Type 'Opinions'
+-- | Profile of opinions of some 'judge's about some 'prop'ositions.
+newtype Opinions prop grade judge = Opinions (Map judge (Opinion prop grade))
+ deriving (Eq, Show)
+instance (Ord judge, Show judge) => IsList (Opinions prop grade judge) where
+	type Item (Opinions prop grade judge) = (judge, Opinion prop grade)
+	fromList = Opinions . Map.fromListWithKey
+		 (\k _x _y -> error $ "duplicate opinion for judge: " <> show k)
+	toList (Opinions os) = toList os
+
+-- * Type 'Merit'
+-- | Profile of merits about a choice.
+newtype Merit grade = Merit (Map grade Count)
+ deriving (Eq, Show)
+type Count = Int
+
+instance Ord grade => Semigroup (Merit grade) where
+	Merit x <> Merit y = Merit (Map.unionWith (+) x y)
+instance Ord grade => Ord (Merit grade) where
+	compare = compare `on` majorityValue
+instance (Ord grade, Show grade) => IsList (Merit grade) where
+	type Item (Merit grade) = (grade, Count)
+	fromList = Merit . Map.fromListWithKey
+		 (\g _x _y -> error $ "duplicate grade in merit: " <> show g)
+	toList (Merit cs) = toList cs
+
+-- | @merit grad@ returns the 'Merit'
+-- of a single 'choice' by some 'judge's.
+merit :: (Ord grade, Ord prop) =>
+         Scale grade -> prop -> Opinions prop grade judge ->
+         Merit grade
+merit scal prop (Opinions os) = foldr insertOpinion defaultMerit os
+	where
+	insertOpinion op (Merit m) = Merit (Map.insertWith (+) g 1 m)
+		where g = Map.findWithDefault (scaleDefault scal) prop op
+	defaultMerit = Merit (const 0 `Map.fromSet` scaleGrades scal)
+
+-- ** Type 'Merits'
+-- | Profile of merits about some choices.
+newtype Merits prop grade = Merits (Map prop (Merit grade))
+ deriving (Eq, Show)
+instance (Ord grade, Ord prop) => Semigroup (Merits prop grade) where
+	Merits x <> Merits y = Merits (Map.unionWith (<>) x y)
+instance (Ord prop, Show prop) => IsList (Merits prop grade) where
+	type Item (Merits prop grade) = (prop, Merit grade)
+	fromList = Merits . Map.fromListWithKey
+		 (\p _x _y -> error $ "duplicate choice in merits: " <> show p)
+	toList (Merits cs) = toList cs
+
+-- | @merit scal props opins@ returns the 'Merits'
+-- of the 'Choices' 'props'
+-- as judged by the 'Opinions' 'opins'
+-- on the 'Scale' 'scal'.
+merits :: (Ord grade, Ord prop) =>
+          Scale grade -> Choices prop -> Opinions prop grade judge ->
+          Merits prop grade
+merits scal props (Opinions os) = foldr ((<>) . meritsFromOpinion) defaultMerits os
+	where
+	meritsFromOpinion = Merits . (Merit . (`Map.singleton` 1) <$>) . (<> defaultOpinion)
+	defaultOpinion    = const (scaleDefault scal) `Map.fromSet` props
+	defaultMerits     = Merits (const defaultMerit `Map.fromSet` props)
+	defaultMerit      = Merit (const 0 `Map.fromSet` scaleGrades scal)
+
+-- * Type 'Value'
+-- | A 'Value' is a compressed list of 'grade's,
+-- where each 'grade' is associated with the 'Count'
+-- by which it would be replicated in situ if decompressed.
+newtype Value grade = Value [(grade,Count)]
+ deriving (Eq, Show)
+-- | 'compare' lexicographically as if the 'Value's
+-- were decompressed.
+instance Ord grade => Ord (Value grade) where
+	Value []`compare`Value [] = EQ
+	Value []`compare`Value ys | all ((==0) . snd) ys = EQ
+	                          | otherwise            = LT
+	Value xs`compare`Value [] | all ((==0) . snd) xs = EQ
+	                          | otherwise            = GT
+	sx@(Value ((x,cx):xs)) `compare` sy@(Value ((y,cy):ys)) =
+		case cx`compare`cy of
+		 _ | cx == 0 && cy == 0 -> Value xs`compare`Value ys
+		 _ | cx <= 0 -> Value xs`compare`sy
+		 _ | cy <= 0 -> sx`compare`Value ys
+		 EQ -> x`compare`y <> Value xs`compare`Value ys
+		 LT -> x`compare`y <> Value xs`compare`Value((y,cy-cx):ys)
+		 GT -> x`compare`y <> Value((x,cx-cy):xs)`compare`Value ys
+
+-- | The 'majorityValue' is the list of the 'majorityGrade's
+-- of a choice, each one replicated their associated 'Count' times,
+-- from the most consensual to the least,
+-- ie. by removing the 'grade' of the previous 'majorityGrade'
+-- to compute the next.
+majorityValue :: Ord grade => Merit grade -> Value grade
+majorityValue (Merit m) = Value (go m)
+	where
+	go gs = case snd (Map.foldlWithKey untilMajGrade (0,[]) gs) of
+	         [] -> []
+	         gw@(g,_):_ -> gw:go (Map.delete g gs)
+		where
+		tot = sum gs
+		untilMajGrade (t,[]) g c | 2*tc >= tot = (tc,[(g,c)])
+		                         | otherwise   = (tc,[])
+		                         where tc = t+c
+		untilMajGrade acc _g _c = acc
+
+-- | The 'majorityGrade' is the lower middlemost
+-- (also known as median by experts) of the 'grade's
+-- given to a choice by the 'judge's.
+-- 
+-- It is the highest 'grade' approved by an absolute majority of the 'judge's:
+-- more than 50% of the 'judge's give the choice at least a 'grade' of 'majorityGrade',
+-- but every 'grade' lower than 'majorityGrade' is rejected by an absolute majority
+-- Thus the 'majorityGrade' of a choice
+-- is the final 'grade' wished by the majority.
+--
+-- The 'majorityGrade' is necessarily a word that belongs to 'grades',
+-- and it has an absolute meaning.
+--
+-- When the number of 'judge's is even, there is a middle-interval
+-- (which can, of course, be reduced to a single 'grade'
+-- if the two middle 'grade's are the same),
+-- then the 'majorityGrade' is the lowest 'grade' of the middle-interval
+-- (the “lower middlemost” when there are two in the middle),
+-- which is the only one which respects consensus:
+-- any other choice whose grades are all within this middle-interval,
+-- has a 'majorityGrade' which is greater or equal to this lower middlemost.
+majorityGrade :: Ord grade => Merit grade -> grade
+majorityGrade m = fst (head gs) where Value gs = majorityValue m
+
+-- * Type 'Ranking'
+
+type Ranking prop = [prop]
+
+-- | The 'majorityRanking' ranks all the choices on the basis of their 'grade's.
+--
+-- Choice A ranks higher than choice B in the 'majorityRanking'
+-- if and only if A’s 'majorityValue' is lexicographically above B’s.
+-- There can be no tie unless two choices have precisely the same 'majorityValue's.
+majorityRanking :: Ord grade => Merits prop grade -> Ranking prop
+majorityRanking = map fst . sortBy (compare `on` Down . snd) . majorityValueByChoice
+
+majorityValueByChoice :: Ord grade => Merits prop grade -> [(prop, Value grade)]
+majorityValueByChoice (Merits ms) = Map.toAscList (majorityValue <$> ms)
diff --git a/README.md b/README.md
new file mode 100644
--- /dev/null
+++ b/README.md
@@ -0,0 +1,123 @@
+# Majority Judgment
+
+## Common language
+
+The Majority Judgment asks us to judge each choice in an absolute way
+(i.e. such that the removal or addition of choices
+does not change our evaluation of the other choices)
+by giving them a grade (or level) on a common scale.
+
+This common scale contains as many grades as our supposed common expertise
+is able to distinguish, in order to faithfully represent
+the properties of the attribute it tries to measure.
+Hence, a common scale should be crafted for each different attribute.
+The inter-subjective meaning of each grade
+being reinforced by the practice of judgments.
+
+### Examples
+
+Examples of common scales could be:
+- [“No”, “No, but”, “Yes, but”, “Yes”] for adhesion,
+- [“None”, “Not Enough”, “Enough”, “Much”, “Too Much”] for quantity,
+- [“To Do”, “Prioritized”, “Blocking”, “Urgent”, “Too Urgent”] for priority,
+- [“Useless”, “Interesting”, “Useful”, “Indispensable”, “Enslaving”] for utility,
+- [“To Reject”, “Insufficient”, “Acceptable”, “Good”, “Very Good”, “Too Good”] for quality.
+
+## Judging one choice
+
+For each choice taken separately,
+the initial common scale (whose grades are all of equal length 1)
+is dilated such that the length of each grade is multiplied
+by the number of individual judgments of this grade obtained by this choice.
+Like this, the only level which is defended by an absolute majority
+begining from one side of the scale,
+without being rejected by an absolute majority
+beginning from the other side of the scale,
+is the one which spans over the middle of this dilated scale.
+This is the most consensual majority grade for this choice.
+
+If the number of individual judgments is small and even,
+there is however a probability that two different grades
+border the middle of this dilated scale,
+but only the lower grade rewards consensus,
+and thus is considered to be the most consensual.
+Indeed, if any other choice obtains less scattered judgments
+all enclosed to this two grades,
+it will obtain a most consensual majoritary grade
+greater or egal to the one of this choice.
+Which would not necessarily be the case with the greater grade.
+
+## Ranking many choices
+
+To sort many choices means being able to compare them two-by-two,
+which is done according to their most consensual majority grade.
+In case of equality, the minimum individual judgments of this grade
+are removed from both dilated scales so that one of them has no longer any,
+then the comparison goes on with the new most consensual majority grades.
+Like this, either a choice is judged higher than the other,
+by the geatest number of judgments which differenciate them according
+to a most consensual majoritary grade,
+or both choices precisely have the same distribution of individual judgments.
+
+One can see that the farest an individual judgment is
+from the most consensual majoritary grade,
+the less impact it has on the result.
+This rewards honest individual judgments,
+by ignoring as near as may be the most cranky or strategic judgements.
+
+## Properties
+
+The Majority Judgment is:
+
+- allowing anonymity:
+  interchanging the names of judges does not change the outcome:
+  all judges are given an equal power.
+
+- neutral:
+  interchanging the names of choices does not change the outcome:
+  all choices are treated equally.
+
+- complete:
+  every choice is either superior or inferior
+  to any other choice, or both when equal.
+  Hence the Majority Judgement is not subject
+  to Condorcet's paradox.
+
+- monotone:
+  if a choice is superior or egal to another one,
+  and a judge increases its grade for it,
+  it becomes strictly superior.
+
+- transitive:
+  if a first choice is superior to a second one,
+  and this second one is superior to a third,
+  then the first is superior to the third).
+
+- coherent:
+  it is independent of irrelevant alternatives as formulated by Nash-Chernoff:
+  removal or addition of choices does not change
+  the judges’ evaluations of the other choices.
+  Hence the Majority Judgement is not subject
+  to Arrow's paradox.
+
+- strategy-proof-in-grading:
+  judging a choice higher or lower
+  than our intimate judgement has the opposite impact
+  on its most consensual majority grade.
+
+- partially strategy-proof-in-ranking:
+  increasing (resp. decreasing) the rank of a choice with respect to another choice,
+  can not decrease (resp. increase) the rank of this other choice.
+
+- not Condorcet-consistent except when the electorate is “polarized”
+  (when the higher (resp. the lower) a judge evaluates one choice the lower (resp. the higher)
+  she/he evaluates the other, so there can be no consensus)
+  hence when judges are most tempted to manipulate.
+
+- not excluding the no-show paradox (when it is better for a judge not to judge
+  than to express her/his opinion sincerely because her/his vote
+  can tip the scales against his favorite choice).
+  
+  This property is judged insignificant, by Michel Balinski and Rida Laraki,
+  when compared with the serious problems of methods of election,
+  the Arrow and Condorcet paradoxes and strategic manipulation.
diff --git a/hjugement.cabal b/hjugement.cabal
new file mode 100644
--- /dev/null
+++ b/hjugement.cabal
@@ -0,0 +1,72 @@
+author: Julien Moutinho <julm+hjugement@autogeree.net>
+build-type: Simple
+cabal-version: >= 1.18
+category: Language
+description:
+  A library for the <http://libgen.io/book/index.php?md5=BF67AA4298C1CE7633187546AA53E01D Majority Judgment>.
+  .
+  The Majority Judgment is <http://libgen.io/book/index.php?md5=BF67AA4298C1CE7633187546AA53E01D judged by its authors>
+  to be “superior to any known method of voting
+  and to any known method of judging competitions,
+  in theory and in practice”.
+  .
+  For introductory explanations, you can read:
+  the README.md (en) and/or
+  Marjolaine Leray's comic: <https://www.lechoixcommun.fr/articles/Vous_reprendrez_bien_un_peu_de_democratie-2.html Vous reprendrez bien un peu de démocratie ?> (fr)
+  .
+  Or watch: Rida Laraki's conference: <https://mixitconf.org/2017/majority-judgment Le Jugement Majoritaire> (fr)
+  .
+  For comprehensive studies, you can read Michel Balinski and Rida Laraki's:
+  .
+  * textbook: <http://libgen.io/book/index.php?md5=BF67AA4298C1CE7633187546AA53E01D Majority Judgment: Measuring, Ranking, and Electing> (en)
+  * cahier: <http://www.lamsade.dauphine.fr/sites/default/IMG/pdf/cahier_377.pdf Majority Judgment vs. Majority Rule> (en)
+  * paper: <https://1007421605497013616-a-1802744773732722657-s-sites.googlegroups.com/site/ridalaraki/xfiles/BalinskiLarakiJudgeDontVotecahierderecherche2010-27.pdf Judge : Don't Vote!> (en)
+  * article: <https://www.cairn.info/revue-francaise-d-economie-2012-4-page-11.htm Jugement majoritaire versus vote majoritaire (via les présidentielles 2011-2012)> (fr)
+extra-source-files:
+extra-doc-files: README.md
+extra-tmp-files:
+license: GPL-3
+license-file: COPYING
+maintainer: Julien Moutinho <julm+hjugement@autogeree.net>
+name: hjugement
+stability: experimental
+synopsis: Majority Judgment.
+tested-with: GHC==8.0.2
+version: 1.0.0.20170804
+
+Source-Repository head
+ location: git://git.autogeree.net/hjugement
+ type:     git
+
+Library
+  exposed-modules:
+    Hjugement
+    Hjugement.Majority
+  default-language: Haskell2010
+  default-extensions:
+  ghc-options: -Wall -fno-warn-tabs
+  build-depends:
+    base >= 4.6 && < 5
+    , containers > 0.5
+
+Test-Suite hjugement-test
+  type: exitcode-stdio-1.0
+  default-language: Haskell2010
+  default-extensions:
+  ghc-options: -Wall -fno-warn-tabs
+  hs-source-dirs: test
+  main-is: Main.hs
+  other-modules:
+    HUnit
+    QuickCheck
+    Types
+  build-depends:
+    base >= 4.6 && < 5
+    , containers >= 0.5 && < 0.6
+    , hjugement
+    , QuickCheck >= 2.0
+    , tasty >= 0.11
+    , tasty-hunit
+    , tasty-quickcheck
+    , text
+    , transformers >= 0.4 && < 0.6
diff --git a/test/HUnit.hs b/test/HUnit.hs
new file mode 100644
--- /dev/null
+++ b/test/HUnit.hs
@@ -0,0 +1,180 @@
+{-# LANGUAGE OverloadedLists #-}
+{-# OPTIONS_GHC -fno-warn-orphans #-}
+module HUnit where
+
+import Test.Tasty
+import Test.Tasty.HUnit
+
+import Control.Arrow (second)
+import qualified Data.Map.Strict as Map
+
+import Hjugement
+import Types
+
+hunits :: TestTree
+hunits =
+	testGroup "HUnit"
+	 [ testGroup "Value" $
+		 [ testCompareValue
+			 [(3,15), (2,7), (1,3), (0::Int,2)]
+			 [(3,16), (2,6), (1,2), (0,3)]
+		 , testGroup "OfMerits"
+			 [  let m = mkMerit ['A'..'F'] in
+				testValueOfMerits
+				 [ (The, m [136,307,251,148,84,74])
+				 ]
+				 [ (The, [('C',251),('B',307),('D',148),('E',84),('A',136),('F',74)])
+				 ]
+			 , let m = mkMerit [ToReject .. TooGood] in
+				testValueOfMerits
+				 [ (This, m [12,10,21,5,5,5,2])
+				 , (That, m [12,16,22,3,3,3,1])
+				 ]
+				 [ (This, [(Acceptable,21),(Insufficient,10),(Good,5),(ToReject,12),(Perfect,5),(VeryGood,5),(TooGood,2)])
+				 , (That, [(Acceptable,22),(Insufficient,16),(ToReject,12),(VeryGood,3),(Perfect,3),(Good,3),(TooGood,1)])
+				 ]
+			 ]
+		 , testGroup "OfOpinions"
+			 [ testValueOfOpinions [No,Yes]
+				   [The]
+				 [ [No ]
+				 , [No ]
+				 , [No ]
+				 , [No ]
+				 , [Yes]
+				 , [Yes]
+				 ]
+				 [ (The, [(No,4),(Yes,2)])
+				 ]
+			 , testValueOfOpinions [No,Yes]
+				   [The]
+				 [ [No ]
+				 , [No ]
+				 , [No ]
+				 , [Yes]
+				 , [Yes]
+				 , [Yes]
+				 ]
+				 [ (The, [(No,3),(Yes,3)])
+				 ]
+			 , testValueOfOpinions [No,Yes]
+				   [This, That]
+				 [ [No  , No ]
+				 , [No  , Yes]
+				 , [No  , Yes]
+				 , [No  , Yes]
+				 , [Yes , Yes]
+				 , [Yes , Yes]
+				 ]
+				 [ (This, [(No,4),(Yes,2)])
+				 , (That, [(Yes,5),(No,1)])
+				 ]
+			 , testValueOfOpinions [No,Yes]
+				   [This, That]
+				 [ [No  , No ]
+				 , [No  , No ]
+				 , [No  , No ]
+				 , [No  , Yes]
+				 , [No  , Yes]
+				 , [No  , Yes]
+				 ]
+				 [ (This, [(No,6),(Yes,0)])
+				 , (That, [(No,3),(Yes,3)])
+				 ]
+			 , testValueOfOpinions [No,Yes]
+				   [This, That]
+				 [ [Yes , No ]
+				 , [Yes , No ]
+				 , [Yes , No ]
+				 , [Yes , Yes]
+				 , [Yes , Yes]
+				 , [Yes , Yes]
+				 ]
+				 [ (This, [(Yes,6),(No,0)])
+				 , (That, [(No,3),(Yes,3)])
+				 ]
+			 , testValueOfOpinions [No,Yes]
+				   [This, That]
+				 [ [No  , No ]
+				 , [No  , No ]
+				 , [Yes , No ]
+				 , [Yes , Yes]
+				 , [Yes , Yes]
+				 , [Yes , Yes]
+				 ]
+				 [ (This, [(Yes,4),(No,2)])
+				 , (That, [(No,3),(Yes,3)])
+				 ]
+			 , testValueOfOpinions [ToReject,Insufficient,Acceptable,Good,VeryGood,Perfect]
+				   [1::Int ..6]
+				 [ [Perfect,Perfect,Acceptable,VeryGood,Good,VeryGood]
+				 , [Perfect,VeryGood,Perfect,Good,Acceptable,Acceptable]
+				 , [VeryGood,VeryGood,Good,Acceptable,VeryGood,Insufficient]
+				 , [Perfect,VeryGood,VeryGood,Good,Good,Acceptable]
+				 , [Perfect,Good,VeryGood,Good,Good,Acceptable]
+				 , [Perfect,VeryGood,Perfect,Good,Good,Good]
+				 ]
+				 [ (1, [(Perfect,5),(VeryGood,1),(ToReject,0),(Insufficient,0),(Acceptable,0),(Good,0)])
+				 , (2, [(VeryGood,4),(Good,1),(Perfect,1),(ToReject,0),(Insufficient,0),(Acceptable,0)])
+				 , (3, [(VeryGood,2),(Good,1),(Perfect,2),(Acceptable,1),(ToReject,0),(Insufficient,0)])
+				 , (4, [(Good,4),(Acceptable,1),(VeryGood,1),(ToReject,0),(Insufficient,0),(Perfect,0)])
+				 , (5, [(Good,4),(Acceptable,1),(VeryGood,1),(ToReject,0),(Insufficient,0),(Perfect,0)])
+				 , (6, [(Acceptable,3),(Good,1),(Insufficient,1),(VeryGood,1),(ToReject,0),(Perfect,0)])
+				 ]
+			 ]
+		 ]
+	 ]
+
+
+elide :: String -> String
+elide s | length s > 42 = take 42 s ++ ['…']
+        | otherwise = s
+
+mkOpinion :: Ord prop =>
+             Choices prop -> judge -> [grade] ->
+             (judge, Opinion prop grade)
+mkOpinion props j gs = (j, Map.fromList $ toList props `zip` gs)
+
+mkMerit :: (Ord grade, Show grade) => [grade] -> [Count] -> Merit grade
+mkMerit scal = fromList . (scal`zip`)
+
+mkMerits :: (Ord prop, Ord grade) =>
+            [grade] -> Choices prop -> [[grade]] ->
+            Merits prop grade
+mkMerits scal props opins =
+	merits (Scale (fromList scal) (head scal)) props $ fromList $
+	zipWith (mkOpinion props) [1::Int ..] opins
+
+
+testCompareValue :: (Ord grade, Show grade) =>
+                    [(grade, Count)] -> [(grade, Count)] -> TestTree
+testCompareValue x y =
+	testGroup (elide $ show (x,y))
+	 [ testCase "x == x" $ Value x`compare`Value x @?= EQ
+	 , testCase "y == y" $ Value y`compare`Value y @?= EQ
+	 , testCase "x <  y" $ Value x`compare`Value y @?= LT
+	 , testCase "y >  x" $ Value y`compare`Value x @?= GT
+	 ]
+
+testRanking :: (Ord prop, Ord grade, Show grade, Show prop) =>
+               [grade] -> Choices prop -> [[grade]] ->
+               Ranking prop -> TestTree
+testRanking scal props opins expect =
+	testCase (elide $ show (toList props,opins)) $
+		majorityRanking (mkMerits scal props opins) @?= expect
+
+testValueOfOpinions :: (Show grade, Show prop, Ord grade, Ord prop) =>
+             [grade] -> Choices prop -> [[grade]] ->
+             [(prop, [(grade,Count)])] -> TestTree
+testValueOfOpinions scal props opins expect =
+	testCase (elide $ show (toList props,opins)) $
+		majorityValueByChoice (mkMerits scal props opins)
+		 @?= ((Value`second`)<$>expect)
+
+testValueOfMerits :: (Show grade, Show prop, Ord grade, Ord prop) =>
+             Merits prop grade ->
+             [(prop, [(grade,Count)])] -> TestTree
+testValueOfMerits ms expect =
+	testCase (elide $ show ms) $
+		majorityValueByChoice ms
+		 @?= ((Value`second`)<$>expect)
diff --git a/test/Main.hs b/test/Main.hs
new file mode 100644
--- /dev/null
+++ b/test/Main.hs
@@ -0,0 +1,13 @@
+module Main where
+
+import Test.Tasty
+import QuickCheck
+import HUnit
+
+main :: IO ()
+main =
+	defaultMain $
+	testGroup "Hjugement"
+	 [ hunits
+	 , quickchecks
+	 ]
diff --git a/test/QuickCheck.hs b/test/QuickCheck.hs
new file mode 100644
--- /dev/null
+++ b/test/QuickCheck.hs
@@ -0,0 +1,134 @@
+{-# LANGUAGE FlexibleInstances #-}
+{-# LANGUAGE ScopedTypeVariables #-}
+{-# OPTIONS_GHC -fno-warn-orphans #-}
+module QuickCheck where
+
+import Test.QuickCheck
+import Test.Tasty
+import Test.Tasty.QuickCheck
+
+import Control.Monad (replicateM)
+import qualified Data.Set as Set
+
+import Hjugement
+import Types
+
+quickchecks :: TestTree
+quickchecks =
+	testGroup "QuickCheck"
+	 [ testProperty "arbitraryJudgments" $ \(SameLength (x::[(G6,Count)],y)) ->
+		let (gx, cx) = unzip x in
+		let (gy, cy) = unzip y in
+		gx == gy && sum cx == sum cy
+	 , testGroup "Value"
+		 [ testProperty "compare" $ \(SameLength (x::Value G6,y)) ->
+			expandValue x`compare` expandValue y == x`compare`y
+		 ]
+	 {-
+	 , testProperty "majorityGauge and majorityValue consistency" $
+		 \(SameLength (x@(Merit xs)::Merit G6,y@(Merit ys))) ->
+			not (all (==0) xs || all (==0) ys) ==>
+			case majorityGauge x`compare`majorityGauge y of
+			 LT -> majorityValue x < majorityValue y
+			 GT -> majorityValue x > majorityValue y
+			 EQ -> True
+	 -}
+	 ]
+
+-- | Decompress a 'Value'.
+expandValue :: Value a -> [a]
+expandValue (Value []) = []
+expandValue (Value ((x,c):xs)) = replicate c x ++ expandValue (Value xs)
+
+-- | @arbitraryJudgments n@ arbitrarily generates 'n' lists of pairs of grade and 'Count'
+-- for the same arbitrary grades,
+-- and with the same total 'Count' of individual judgments.
+arbitraryJudgments :: forall g. (Bounded g, Enum g) => Int -> Gen [[(g, Count)]]
+arbitraryJudgments n = sized $ \s -> do
+	minG <- choose (fromEnum(minBound::g), fromEnum(maxBound::g))
+	maxG <- choose (minG, fromEnum(maxBound::g))
+	let gs::[g] = toEnum minG`enumFromTo`toEnum maxG
+	let lg = maxG - minG + 1
+	replicateM n $ do
+		cs  <- resize s $ arbitrarySizedNaturalSum lg
+		cs' <- arbitraryPad (lg - length cs) (return 0) cs
+		return $ zip gs cs'
+
+-- | @arbitrarySizedNaturalSum maxLen@
+-- arbitrarily chooses a list of 'length' at most 'maxLen',
+-- containing 'Int's summing up to 'sized'.
+arbitrarySizedNaturalSum :: Int -> Gen [Int]
+arbitrarySizedNaturalSum maxLen = sized (go maxLen)
+	where
+	go :: Int -> Int -> Gen [Int]
+	go len tot | len <= 0 = return []
+	           | len == 1 = return [tot]
+	           | tot <= 0 = return [tot]
+	go len tot = do
+		d <- choose (0, tot)
+		(d:) <$> go (len-1) (tot - d)
+
+-- | @arbitraryPad n pad xs@
+-- arbitrarily grows list 'xs' with 'pad' elements
+-- up to length 'n'.
+arbitraryPad :: Int -> Gen a -> [a] -> Gen [a]
+arbitraryPad n pad [] = replicateM n pad
+arbitraryPad n pad xs = do
+	(r, xs') <- go n xs
+	if r > 0
+	 then arbitraryPad r pad xs'
+	 else return xs'
+	where
+	go r xs' | r <= 0 = return (0,xs')
+	go r [] =  arbitrary >>= \b ->
+		if b then pad >>= \p -> ((p:)<$>) <$> go (r-1) []
+		     else return (r,[])
+	go r (x:xs') = arbitrary >>= \b ->
+		if b then pad >>= \p -> (([p,x]++)<$>) <$> go (r-1) xs'
+		     else ((x:)<$>) <$> go r xs'
+
+-- | Like 'nub', but O(n * log n).
+nubList :: Ord a => [a] -> [a]
+nubList = go Set.empty where
+	go _ [] = []
+	go s (x:xs) | x`Set.member`s = go s xs
+	            | otherwise      = x:go (Set.insert x s) xs
+
+instance Arbitrary G6 where
+	arbitrary = arbitraryBoundedEnum
+instance (Arbitrary g, Bounded g, Enum g, Ord g, Show g) => Arbitrary (Merit g) where
+	arbitrary = fromList . head <$> arbitraryJudgments 1
+	shrink (Merit m) = Merit <$> shrink m
+instance
+ ( Arbitrary p, Bounded p, Enum p, Ord p, Show p
+ , Arbitrary g, Bounded g, Enum g, Ord g, Show g
+ ) => Arbitrary (Merits p g) where
+	arbitrary = do
+		minP <- choose (fromEnum(minBound::p), fromEnum(maxBound::p))
+		maxP <- choose (minP, fromEnum(maxBound::p))
+		let ps = toEnum minP`enumFromTo`toEnum maxP
+		let ms = (fromList <$>) <$> arbitraryJudgments (maxP - minP + 1)
+		fromList . zip ps <$> ms
+instance (Bounded g, Eq g, Integral g, Arbitrary g) => Arbitrary (Value g) where
+	arbitrary = head . (Value <$>) <$> arbitraryJudgments 1
+	shrink (Value vs) = Value <$> shrink vs
+
+-- * Type 'SameLength'
+newtype SameLength a = SameLength a
+ deriving (Eq, Show)
+instance Functor SameLength where
+	fmap f (SameLength x) = SameLength (f x)
+instance (Arbitrary g, Bounded g, Enum g) => Arbitrary (SameLength (Value g, Value g)) where
+	arbitrary = do
+		SameLength (x,y) <- arbitrary
+		return $ SameLength (Value x, Value y)
+instance (Arbitrary g, Bounded g, Enum g, Ord g, Show g) => Arbitrary (SameLength (Merit g, Merit g)) where
+	arbitrary = do
+		SameLength (x,y) <- arbitrary
+		return $ SameLength (fromList x, fromList y)
+instance (Arbitrary g, Bounded g, Enum g) => Arbitrary (SameLength ([(g,Count)], [(g,Count)])) where
+	arbitrary = do
+		vs <- arbitraryJudgments 2
+		case vs of
+		 [x,y] -> return $ SameLength (x,y)
+		 _ -> undefined
diff --git a/test/Types.hs b/test/Types.hs
new file mode 100644
--- /dev/null
+++ b/test/Types.hs
@@ -0,0 +1,27 @@
+module Types where
+
+data G2 = No | Yes
+ deriving (Eq, Ord, Show)
+
+data P1 = The
+ deriving (Eq, Ord, Show)
+
+data P2 = This | That
+ deriving (Eq, Ord, Show)
+
+data G6 = ToReject | Insufficient | Acceptable | Good | VeryGood | Perfect | TooGood
+ deriving (Bounded, Enum, Eq, Ord, Show)
+
+-- | Note that the grades 1, 2, 4, and 12 are absent.
+data DanishSchoolGrade
+ = D0  -- ^ the completely unacceptable performance
+ | D3  -- ^ the very hesitant, very insufficient, and unsatisfactory performance
+ | D5  -- ^ the hesitant and not satisfactory performance
+ | D6  -- ^ the just acceptable performance
+ | D7  -- ^ the mediocre performance, slightly below average
+ | D8  -- ^ the average performance
+ | D9  -- ^ the good performance, a little above average
+ | D10 -- ^ the excellent but not particularly independent performance
+ | D11 -- ^ the independent and excellent performance
+ | D13 -- ^ the exceptionally independent and excellent performance
+ deriving (Bounded, Enum, Eq, Ord, Show)
