1. Computing Truth Value

2. Computing Truth Value

3. Argument A
T All cats are mammals.
T No cats are reptiles.
T Therefore, no reptiles are mammals.
Argument B
T All San Diegans are Californians.
T No San Diegans are San Franciscans.
F Therefore no San Franciscans are Californians.
Argument C
F All even numbers are primes.
F No primes are odd numbers.
T Therefore, no odd numbers are even numbers.

4. Validity is a necessary condition for soundness. a. V  S; b. V  S; c
Validity is a necessary condition for soundness. a. V  S; b. V  S; c. V  S; d. S  V; e. S  V
Having true premises is neither necessary nor sufficient for validity. a.  [(T  V)  (V  T)]; b.  [(T  V)  (V  T)]; c.  (T  V); d.  T   V; e.  [(T  V)  (V  T)]
An argument is valid only if it’s deductive. a. V  D; b. V  D; c. D  V; d. all of the above; e. none of the above.
You can’t both have your cake and eat it. a. H   E; b.  H   E; c.  (H  E); d. all of the above; e. none of the above.
If x is an integer then x is either even or odd but not both. a. I  (E  O); b. I  [(E  O)   (E  O)]; c. I  [(E  O)   B] d. all of the above; e. none of the above.

5. Truth Tables
Hurley

6. Concepts Truth Function Truth Table Truth value assignment Tautologous
Self-contradictory
Contingent
Logically equivalent
Contradictory
Consistent
Inconsistent
Valid
Invalid

7. How to… Use truth tables to test
Sentences for tautolgousness, self-contradiction or contingency
Pairs of sentences for equivalence or contradiction
Sets of sentences for consistency or inconsistency
Arguments for validity or invalidity
Determine validity and invalidity from information about premises and conclusion

8. Truth Tables for the Connectivesp q
p • q
p ∨ q
p ⊃ q
p ≡q T F p ~p T F
Given the truth tables for the connectives we can compute the truth value of sentences built out of them if we know the truth values of their parts.
We can do this because the connectives are truth functional!

9. Truth Value Assigment
Each row of a truth table represents a truth value assignment: an assignment of truth values to the sentence letters.
So, in the exercise where you were given truth values for the sentence letters and asked to compute the truth value of the whole sentence the directions gave you a truth value assignment.
We can think of truth value assignments as a possible worlds (or really sets of possible worlds)
And a complete truth table as representing all possible worlds

10. Truth Table Tests Sentences Tautologous Self-contradictory Contingent
Pairs of sentences
Equivalent
Contradictory
Neither
Set of sentences
Consistent
Inconsistent
Arguments
Valid
Invalid

11. Sentences Tautology (tautologous sentence) Necessarily true
True in every truth value assignment
Self-contradictory sentence
Necessarily false
False in every truth value assignment
Contingent sentence
Neither necessarily true nor necessarily false
True in some truth value assignments, false in others

12. Testing Sentences for Tautologousness
Write the sentence ~ P ∨ (Q ⊃ P)

13. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows) ~ P ∨ (Q ⊃ P)

14. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it ~ P ∨ (Q ⊃ P)
Now we need to assign truth values to each sentence letter on each row of the column underneath it. We assign these truth values according to a standard pattern.

15. Why? And what pattern?
We want the truth table to display all possible truth value assignments for the sentence letters without duplicating any, so we adopt a convention to guarantee that.
The column under the first sentence letter gets half true, half false; the column under the second sentence letter has half true, half false for rows where the first is true and half true, half false for rows where the first is false; the column under the third subdivides in the same way, and so on.

16. Etc… The column for the first type letter is half T and half F, the second subdivides that, the third subdivides the second, and so on... 1
T F 2
T T T F F T F F 3
T T T T T F T F T T F F F T T F T F F F T F F F 4
T T T T T T T F T T F T T T F F T F T T T F T F T F F T T F F F F T T T F T T F F T F T F T F F F F T T F F T F F F F T F F F F
We don’t give you great big truth tables on tests because we have to grade them!

17. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters. ~ P ∨ (Q ⊃ P) T T F F

18. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters. ~ P ∨ (Q ⊃ P) T T T T F F F F

19. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters. ~ P ∨ (Q ⊃ P) T T T T F T F T F F F F
Now we’ve assigned truth values to all the sentence letters and are ready to compute truth values for the whole sentence working from smaller to larger subformulas.

20. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values ~ P ∨ (Q ⊃ P) T T T T F T F T F F F F
We want truth values for ~ P in the column under its main connective. We’ll compute them from the truth values under P given the truth table for negation.

21. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values ~ P ∨ (Q ⊃ P) F T T T F T F T T F T F T F F F
Got it! The truth values for ~ P are in the column under its main connective.

22. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values ~ P ∨ (Q ⊃ P) F T T T F T F T T F T F T F F F
Now we want to computer truth values for Q  P so we’ll look at the truth values for its antecedent and consequent.

23. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values ~ P ∨ (Q ⊃ P) F T T T T F T F T T T F T F F T F F T F
We’ve computed truth values for Q ⊃ P and now have what we need to compute truth values for the whole sentence we’re testing

24. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values ~ P ∨ (Q ⊃ P) F T T T T F T F T T T F T F F T F F T F
At last we can compute truth values for ~P ∨ (Q ⊃ P)! To do that we look at the truth values for ~P and Q ⊃ P, which are under their main connectives.

25. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values ~ P ∨ (Q ⊃ P) F T T T T T F T T F T T T F T T F F T F T F T F
Now we have truth values for ~P ∨ (Q ⊃ P) in the main column of the truth table--the boxed column under the main connective.

26. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values
Read down the main column ~ P ∨ (Q ⊃ P) F T T T T T F T T F T T T F T T F F T F T F T F
The truth table is complete! Now we just have to read down the main column to determine whether the sentence is tautologous, self-contradictory or contingent.

27. Testing Sentences for Tautologousness
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values
Read down main column:
Tautologous: all T
Self-contradictory: all F
Contingent: neither all T nor all F ~ P ∨ (Q ⊃ P) F T T T T T F T T F T T T F T T F F T F T F T F

28. Done! It’s a tautology! ~ P ∨ (Q ⊃ P) F T T T T T F T T F T T T F T T
Write the sentence
Determine the number of rows (for n sentence letters, 2n rows)
Identify the main connective and box the column underneath it
Assign truth values to sentence letters according to pattern, duplicating columns under same sentence letters.
Compute truth values
Read down main column:
Tautologous: all T
Self-contradictory: all F
Contingent: neither all T nor all F ~ P ∨ (Q ⊃ P) F T T T T T F T T F T T T F T T F F T F T F T F
Tautologous, self-contradictory or contingent? Tautologous

29. Pairs of Sentences Equivalent Necessarily have same truth value
Have same truth value in every truth value assignment
Contradictory
Necessarily have opposite truth value
Have opposite truth value in every truth value assignment
Neither
Neither equivalent nor contradictory

30. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
~ (P  Q) / ~ P  ~ Q

31. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
~ ( P  Q ) / ~ P  ~ Q

32. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for sentence letters in both sentences.
Identify the main connectives and box the columns underneath them.
~ ( P  Q ) / ~ P  ~ Q
Be careful about identifying main connectives! The main connective of “~(PQ)” is “~”, not “”!

33. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and box the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
~ ( P  Q ) / ~ P  ~ Q T T T T T F T F F T F T F F F F

34. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and box the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
Compute.
~ ( P  Q ) / ~ P  ~ Q T T T T T T T F T F F T T F T F F F F F

35. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
Compute.
~ ( P  Q ) / ~ P  ~ Q F T T T T T F T T F T F F F T T F T T F F F F F

36. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
Compute.
~ ( P  Q ) / ~ P  ~ Q F T T T F T T F T T F F T F F F T T T F T T F F F T F F

37. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
Compute.
~ ( P  Q ) / ~ P  ~ Q F T T T F T F T F T T F F T T F F F T T T F F T T F F F T F T F

38. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
Compute.
~ ( P  Q ) / ~ P  ~ Q F T T T F T F F T F T T F F T F T F F F T T T F F F T T F F F T F T T F

39. Testing Pairs of Sentences for Equivalence
Write the sentences side by side with a slash between them.
Determine the number of rows for number of sentence letters in both sentences.
Identify the main connectives and the columns underneath them.
Assign truth values according to pattern, duplicating columns under same sentence letters for both sentences.
Compute.
Now read down the main columns row by row to determine whether the sentences are equivalent, contradictory or neither.
~ ( P  Q ) / ~ P  ~ Q F T T T F T F F T F T T F F T F T F F F T T T F F F T T F F F T F T T F
The truth table is complete and we’re ready to read it to see what it tells us.

40. Testing Pairs of Sentences for Equivalence
We compare the truth values in the main columns row by row to see whether they’re same or opposite
We determine whether the sentences are equivalent, contradictory or neither as follows:
Equivalent: same in every row
Contradictory: opposite in every row
Neither: neither equivalent nor contradictory
~ ( P  Q ) / ~ P  ~ Q F T T T F T F F T F T T F F T F T F F F T T T F F F T T F F F T F T T F
Equivalent, contradictory or neither? Equivalent

41. Sets of Sentences Consistent They can all be true together
There is some truth value assignment that makes all of the sentences true
Inconsistent
Not consistent: they can’t all be true together
There is no truth value assignment that makes all of the sentences true

42. Testing Sets of Sentences for Consistency
Any one of them could win…but they can’t all win.

43. Testing Sets of Sentences for Consistency
P  Q / ~ P  Q / Q T T T F T F T T T F F F T F F F F T T T F T T T F T F T F F F F
Do the truth table for the sentences in the usual way
We want to see whether there’s a truth value assignment that makes all the sentences true
If there is, the set of sentences is consistent.
If there isn’t, the set of sentences is inconsistent.

44. Testing Sets of Sentences for Consistency
P  Q / ~ P  Q / Q T T T F T F T T T F F F T F F F F T T T F T T T F T F T F F F F
We read across the main columns row by row
Each row represents a truth value assignment
If there’s a row in which all main columns have T the set of sentences is consistent.
If there’s no row in which all main columns have T the set of sentences is inconsistent.

45. Testing Sets of Sentences for Consistency
P  Q / ~ P  Q / Q T T T F T F T T
This row doesn’t show anything! T F F F T F F F
This row shows consistency F T T T F T T T F T F T F F F F
Consistent or inconsistent? Consistent
We talk about sets of sentences being consistent or inconsistent. We don’t talk about rows of a truth table being consistent or inconsistent--that makes no sense!

46. Testing Sets of Sentences for Consistency
P  Q / P  ~ Q / Q T T T T F F T T T F F T T T F F F T T F F F T T F T F F F T F F
Consistent or inconsistent? Inconsistent
Suppose things were a little different…
Now there’s no row where all main columns get T so this set of sentences is inconsistent!

47. Arguments
Valid
It’s not logically possible for all the premises to be true and the conclusion false
There is no truth value assignment that makes all the premises true and the conclusion false.
Invalid
Not valid.
There is some truth value assignment that makes all the premises true and the conclusion false

48. Testing Arguments for Validity
P ⊃ Q / ~ Q // P ∨ Q T T T F T T T T T F F T F T T F F T T F T F T T F T F T F F F F
Do the truth table with slashes between premises and a double slash between the last premise and the conclusion
We want to see whether there’s a truth value assignment that makes all the premises true and the conclusion false
If there is, the argument is invalid.
If there isn’t, the argument is valid.

49. Testing Arguments for Validity
P ⊃ Q / ~ Q // P ∨ Q T T T F T T T T T F F T F T T F F T T F T F T T F T F T F F F F
We read across the main columns row by row
Each row represents a truth value assignment
If there’s a row in which the main columns of all premises have T and the main column of the conclusion has F the argument is invalid.
If there’s no row in which the main columns of all premises have T and the main column of the conclusion has F the argument is valid.

50. Testing Arguments for Validity
P ⊃ Q / ~ Q // P ∨ Q T T T F T T T T T F F T F T T F F T T F T F T T
This row shows
invalidity F T F T F F F F
Valid or Invalid? invalid
The argument is invalid because there’s a row in which all premises get T and the conclusion gets F.
That shows that it’s possible for all the premises to be true and the conclusion false--which means the argument is invalid.

51. Validity
Given certain information about premises and conclusion we can sometimes determine whether an argument is valid or invalid.
Suppose the conclusion of an argument is a tautology: does this show the argument is valid, is invalid or is this not enough information to determine whether it’s valid or invalid?

52. Conclusion is a tautology
P1 / P2 / Pn // C T
T …
Conclusion is true in every row
Must be valid Must be invalid Can be valid or invalid

53. Conclusion is a tautology
P1 / P2 / Pn // C T
T …
Conclusion is true in every row
There’s no row in which the conclusion is false so
There’s no row in which all the premises are true and the conclusion is false so
The argument must be valid.
Must be valid Must be invalid Can be valid or invalid

54. A tautology follows from anything
We can prove a tautology from any set of premises— even if they have nothing to do with the tautology and
Even from the empty set of premises, i.e. a tautology can be proved from nothing at all!
And in doing proofs, that’s how we’ll prove a sentence is tautologous!

55. Premises are inconsistent
P1 / P2 / Pn // C
There’s NO row like this
T T T
Must be valid Must be invalid Can be valid or invalid

56. Premises are inconsistent
P1 / P2 / Pn // C
So no row like THIS
T T T F
There’s no row in which all the premises are true so
There’s no row in which all the premises are true and the conclusion is false so
The argument must be valid.
Must be valid Must be invalid Can be valid or invalid

57. Ex contradictione quod libet!
Translation: From a contradiction anything follows.
If the premises are inconsistent then anything can be proved from them!
This means that if a formal system includes an inconsistency we can “prove” any darn thing and that is BAD!

58. Premises + negation of conclusion inconsistent
P1 / P2 / Pn // ~ C
There’s NO row like this
T T T T
Must be valid Must be invalid Can be valid or invalid

59. Premises + negation of conclusion inconsistent
P1 / P2 / Pn // ~ C
So NO row like this
T T T T F
There’s no row in which all the premises and the negation of the conclusion are all true so
There’s no row in which all the premises are true and the conclusion itself is false (by definition of negation!) so
The argument must be valid.
Must be valid Must be invalid Can be valid or invalid

60. Reductio ad Absurdem
In reductio arguments (a.k.a indirect proof, proof by contradiction) we exploit the fact that from inconsistent premises anything follows—including a contradiction.
We show that the premises + negation of conclusion of an argument are inconsistent by deriving a contradiction from them
And hence that the argument is valid!

61. The Problem with Truth Tables
The problem with standard truth tables is that they grow exponentially as the number of sentence letters increases, so…
Most of our work is wasted because most of the Ts and Fs we plug in don’t show anything!
Testing for consistency, for example, only the presence or absence of an all T row is relevant!

62. Testing Sets of Sentences for Consistency
P ⊃ Q / ∼ P • Q / Q T T T T F T F T
This row doesn’t show anything! F T F F F T F F
This row shows consistency T F T T T F T T F F T F T F F F
Consistent or inconsistent? Consistent
Only the pink row matters! Is there some way we could have saved ourselves the trouble of filling in all the other rows?

63. What we need
To short-cut the truth table test for consistency we need a procedure that will do two things:
Construct a truth value assignment in which all sentences are true, if there is one and
Show conclusively that there is no truth value assignment that makes all sentences true if there isn’t one
Short-cut truth tables (Hurley 6.5) do both these jobs.
Truth trees do them better!

64. Short-cut Truth Tables
Short-cut truth tables provide a quick and dirty way of testing for consistency and validity.
Instead of assigning truth values to sentence letters and calculating the truth value of whole sentences from there
We assign truth values to whole sentences and attempt to construct a truth value assignment that will produce that result.
Short-cut truth tables are assbackwards

65. Short-Cut Truth Tables: Consistency
A set of sentences is consistent if there is some truth value assignment that makes all the sentences true
To test for consistency we write the sentences on a single line with slashes between them
We assign true to each of the sentences by writing ‘T’ under its main connective
And attempt to construct a truth value assignment that gets that result
If that’s possible, the set of sentences is consistent
If it’s not possible, the set of sentences is inconsistent

66. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A T
Write the sentences on one line with slashes between them
Assign true to each sentence by writing ‘T’ under its main connective

67. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A T T T T F
Since ∼ A is true, A must be false so this truth value is “forced” on A
Assign “forced” truth values.
We start with the last sentence because assigning true to the other sentences doesn’t “force” truth values on their parts.

68. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T F T T F
Now that we’ve assigned a truth value to A, other truth values are forced by that:
All the other A’s must be false too!

69. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T F T T T F
This forces more truth values:
Since A is false, to make the first sentence true we have to assign true to B—which makes all the B’s true.

70. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T F T F T T F
Since B is true, ∼ B must be false—so yet another truth value is forced

71. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T F F F T F T T F
Since  B is false, C must be false in order to make the conditional, C   B, true--so we have another forced truth value: all C’s have to be false

72. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T F F F F T F T T F
Now we can complete the truth value assignment—and there’s only one way to do it: by assigning false to C  A, since both of its parts are false.

73. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T F F F F T F T T F
But this isn’t a possible truth value assignment because it says that the conditional, B  (C  A), is true even though its antecedent is true and its consequent false.
And there’s no way to avoid this since all truth values were forced!

74. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T F F F F T F T T F
This shows that there’s no truth value assignment that makes all sentences true
Therefore that this set of sentences is inconsistent.

75. Short-Cut Truth Tables: Consistency
A ∨ B / B ⊃ (C ∨ A) / C ⊃ ∼ B / ∼ A F T T T T T T F T T F T T F
Note: if you assigned truth values in a different order the problem will pop up in a different place (see Hurley p. 40)—but it will pop up somewhere, like a lump under the carpet!

76. Short-Cut Truth Tables: Validity
An argument is valid if there is no truth value assignment that makes all its premises true and its conclusion false.
To test for validity we write the argument on a single line with slashes between the premises and a double slash between the last premise and the conclusion
We assign true to each of the premises by writing ‘T’ under its main connective, and false to the conclusion by writing ‘F’ under its main connective
And attempt to construct a truth value assignment that gets that result
If that’s possible, the argument is invalid
If it’s not possible, the argument is valid

77. Short-Cut Truth Tables: Validity
∼A ⊃ (B ∨ C) / ∼ B // C ⊃ A T T F
We assign true to each of the premises by writing ‘T’ under its main connective and assign false to the conclusion by writing ‘F’ under it’s main connective.
We’re seeing if we can show invalidity.

78. Short-Cut Truth Tables: Validity
∼A ⊃ (B ∨ C) / ∼ B // C ⊃ A T T T F F
Making the conclusion, C  A, false forces C to be true and A to be false since that’s the only case in which a conditional is false.

79. Short-Cut Truth Tables: Validity
∼A ⊃ (B ∨ C) / ∼ B // C ⊃ A F T T T T F F
This forces truth values on all the other C’s and A’s: all the C’s get true and and the A’s get false

80. Short-Cut Truth Tables: Validity
∼A ⊃ (B ∨ C) / ∼ B // C ⊃ A T F T F T T F T F F
There are more forced truth values: since ∼B is true, B must be false, so we assign ‘F’ to all the B’s
And now that we know A is false, ∼A must be true.

81. Short-Cut Truth Tables: Validity
∼A ⊃ (B ∨ C) / ∼ B // C ⊃ A T F T F T T T F T F F
Now we can complete the table by filling in the truth value for the first premise.
So the first premise is a true conditional with a true antecedent and true consequent—and that’s ok. The other sentences are ok too.

82. Short-Cut Truth Tables: Validity
∼A ⊃ (B ∨ C) / ∼ B // C ⊃ A T F T F T T T F T F F
Since everything’s ok, this is a possible truth value assignment
Since this truth value assignment makes all the premises true and the conclusion false the argument is shown to be invalid.

83. So we’ve saved ourselves lots of work…
And can go home and relax!