Statement: the gap between first and last was less than 50 points

Input Table: 1976 world junior figure skating championships

Step 1: Order the table by 'points' in ascending order.
rank name nation sp___fs points places
1 mark cockerell united states 1 172.42 11.0
2 takashi mura japan 2 165.7 24.0
3 brian pockar canada 3 166.62 23.0
4 norbert schramm west germany 4 159.8 40.0
5 andrew bestwick united kingdom 5 158.1 48.0
6 stephan bril west germany 7 155.72 57.0
7 patrice macrez france 6 151.76 71.0
8 pierre lamine france 8 150.5 79.0
9 shinji someya japan 10 150.34 74.5
10 jozef sabovčík czechoslovakia 9 148.88 87.0
11 daniel fuerer switzerland 13 146.18 92.5
12 gerald schranz austria 11 143.04 102.0
13 helmut kristofics - binder austria 15 137.32 123.0
14 michael pasfield australia 12 136.6 119.0
15 francis demarteau belgium 14 131.02 140.0
16 adrian vasile romania 16 127.74 143.0
17 miljan begovic yugoslavia 17 127.3 143.0
18 jeremy dowson south africa 18 114.98 166.0
19 marc franquet belgium 19 114.38 167.0

Step 2: Select row number 1.
rank name nation sp___fs points places
19 marc franquet belgium 19 114.38 167.0
18 jeremy dowson south africa 18 114.98 166.0
17 miljan begovic yugoslavia 17 127.3 143.0
16 adrian vasile romania 16 127.74 143.0
15 francis demarteau belgium 14 131.02 140.0
14 michael pasfield australia 12 136.6 119.0
13 helmut kristofics - binder austria 15 137.32 123.0
12 gerald schranz austria 11 143.04 102.0
11 daniel fuerer switzerland 13 146.18 92.5
10 jozef sabovčík czechoslovakia 9 148.88 87.0
9 shinji someya japan 10 150.34 74.5
8 pierre lamine france 8 150.5 79.0
7 patrice macrez france 6 151.76 71.0
6 stephan bril west germany 7 155.72 57.0
5 andrew bestwick united kingdom 5 158.1 48.0
4 norbert schramm west germany 4 159.8 40.0
2 takashi mura japan 2 165.7 24.0
3 brian pockar canada 3 166.62 23.0
1 mark cockerell united states 1 172.42 11.0

Step 3: Extract the numerical value from the 'points' column then add column 'min_points' to existing table.
rank name nation sp___fs points places
19 marc franquet belgium 19 114.38 167.0

Step 4: Order the table by 'points' in descending order.
rank name nation sp___fs points places min_points
19 marc franquet belgium 19 114.38 167.0 114

Step 5: Select row number 1.
rank name nation sp___fs points places min_points
19 marc franquet belgium 19 114.38 167.0 114

Step 6: Extract the numerical value from the 'points' column then add column 'max_points' to existing table.
rank name nation sp___fs points places min_points
19 marc franquet belgium 19 114.38 167.0 114

Step 7: Calculate the difference between 'max_points' and 'min_points' and add column 'point_diff' to existing table.
rank name nation sp___fs points places min_points max_points
19 marc franquet belgium 19 114.38 167.0 114 114

Step 8: Select rows where 'point_diff' is less than 50.
rank name nation sp___fs points places min_points max_points point_diff
19 marc franquet belgium 19 114.38 167.0 114 114 0

Step 9: Use a `CASE` statement to return TRUE if the number of rows is greater than or equal to 1, otherwise return FALSE.
rank name nation sp___fs points places min_points max_points point_diff
19 marc franquet belgium 19 114.38 167.0 114 114 0

verification_result
TRUE

Prediction: TRUE