It would seem that I have far too much time on my hands. After the post about a Star Trek "test", I started wondering if there could be any data to back it up and... well here we go:
Those Old Scientists
Name |
Total Lines |
Percentage of Lines |
KIRK |
8257 |
32.89 |
SPOCK |
3985 |
15.87 |
MCCOY |
2334 |
9.3 |
SCOTT |
912 |
3.63 |
SULU |
634 |
2.53 |
UHURA |
575 |
2.29 |
CHEKOV |
417 |
1.66 |
The Next Generation
Name |
Total Lines |
Percentage of Lines |
PICARD |
11175 |
20.16 |
RIKER |
6453 |
11.64 |
DATA |
5599 |
10.1 |
LAFORGE |
3843 |
6.93 |
WORF |
3402 |
6.14 |
TROI |
2992 |
5.4 |
CRUSHER |
2833 |
5.11 |
WESLEY |
1285 |
2.32 |
Deep Space Nine
Name |
Total Lines |
Percentage of Lines |
SISKO |
8073 |
13.0 |
KIRA |
5112 |
8.23 |
BASHIR |
4836 |
7.79 |
O'BRIEN |
4540 |
7.31 |
ODO |
4509 |
7.26 |
QUARK |
4331 |
6.98 |
DAX |
3559 |
5.73 |
WORF |
1976 |
3.18 |
JAKE |
1434 |
2.31 |
GARAK |
1420 |
2.29 |
NOG |
1247 |
2.01 |
ROM |
1172 |
1.89 |
DUKAT |
1091 |
1.76 |
EZRI |
953 |
1.53 |
Voyager
Name |
Total Lines |
Percentage of Lines |
JANEWAY |
10238 |
17.7 |
CHAKOTAY |
5066 |
8.76 |
EMH |
4823 |
8.34 |
PARIS |
4416 |
7.63 |
TUVOK |
3993 |
6.9 |
KIM |
3801 |
6.57 |
TORRES |
3733 |
6.45 |
SEVEN |
3527 |
6.1 |
NEELIX |
2887 |
4.99 |
KES |
1189 |
2.06 |
Enterprise
Name |
Total Lines |
Percentage of Lines |
ARCHER |
6959 |
24.52 |
T'POL |
3715 |
13.09 |
TUCKER |
3610 |
12.72 |
REED |
2083 |
7.34 |
PHLOX |
1621 |
5.71 |
HOSHI |
1313 |
4.63 |
TRAVIS |
1087 |
3.83 |
SHRAN |
358 |
1.26 |
Discovery
Important Note: As the source material is incomplete for Discovery, the following table only includes line counts from seasons 1 and 4 along with a single episode of season 2.
Name |
Total Lines |
Percentage of Lines |
BURNHAM |
2162 |
22.92 |
SARU |
773 |
8.2 |
BOOK |
586 |
6.21 |
STAMETS |
513 |
5.44 |
TILLY |
488 |
5.17 |
LORCA |
471 |
4.99 |
TARKA |
313 |
3.32 |
TYLER |
300 |
3.18 |
GEORGIOU |
279 |
2.96 |
CULBER |
267 |
2.83 |
RILLAK |
205 |
2.17 |
DETMER |
186 |
1.97 |
OWOSEKUN |
169 |
1.79 |
ADIRA |
154 |
1.63 |
COMPUTER |
152 |
1.61 |
ZORA |
151 |
1.6 |
VANCE |
101 |
1.07 |
CORNWELL |
101 |
1.07 |
SAREK |
100 |
1.06 |
T'RINA |
96 |
1.02 |
If anyone is interested, here's the (rather hurried, don't judge me) Python used:
#!/usr/bin/env python
#
# This script assumes that you've already downloaded all the episode lines from
# the fantastic chakoteya.net:
#
# wget --accept=html,htm --relative --wait=2 --include-directories=/STDisco17/ http://www.chakoteya.net/STDisco17/episodes.html -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/Enterprise/ http://www.chakoteya.net/Enterprise/episodes.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/Voyager/ http://www.chakoteya.net/Voyager/episode_listing.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/DS9/ http://www.chakoteya.net/DS9/episodes.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/NextGen/ http://www.chakoteya.net/NextGen/episodes.htm -m
# wget --accept=html,htm --relative --wait=2 --include-directories=/StarTrek/ http://www.chakoteya.net/StarTrek/episodes.htm -m
#
# Then you'll probably have to convert the following files to UTF-8 as they
# differ from the rest:
#
# * Voyager/709.htm
# * Voyager/515.htm
# * Voyager/416.htm
# * Enterprise/41.htm
#
import re
from collections import defaultdict
from pathlib import Path
EPISODE_REGEX = re.compile(r"^\d+\.html?$")
LINE_REGEX = re.compile(r"^(?P<name>[A-Z']+): ")
EPISODES = Path("www.chakoteya.net")
DISCO = EPISODES / "STDisco17"
ENT = EPISODES / "Enterprise"
TNG = EPISODES / "NextGen"
TOS = EPISODES / "StarTrek"
DS9 = EPISODES / "DS9"
VOY = EPISODES / "Voyager"
NAMES = {
TOS.name: "Those Old Scientists",
TNG.name: "The Next Generation",
DS9.name: "Deep Space Nine",
VOY.name: "Voyager",
ENT.name: "Enterprise",
DISCO.name: "Discovery",
}
class CharacterLines:
def __init__(self, path: Path) -> None:
self.path = path
self.line_count = defaultdict(int)
def collect(self) -> None:
for episode in self.path.glob("*.htm*"):
if EPISODE_REGEX.match(episode.name):
for line in episode.read_text().split("\n"):
if m := LINE_REGEX.match(line):
self.line_count[m.group("name")] += 1
@property
def as_tablular_data(self) -> tuple[tuple[str, int, float], ...]:
total = sum(self.line_count.values())
r = []
for k, v in self.line_count.items():
percentage = round(v * 100 / total, 2)
if percentage > 1:
r.append((str(k), v, percentage))
return tuple(reversed(sorted(r, key=lambda _: _[2])))
def render(self) -> None:
print(f"\n\n# {NAMES[self.path.name]}\n")
print("| Name | Total Lines | Percentage of Lines |")
print("| ---------------- | :---------: | ------------------: |")
for character, total, pct in self.as_tablular_data:
print(f"| {character:16} | {total:11} | {pct:19} |")
if __name__ == "__main__":
for series in (TOS, TNG, DS9, VOY, ENT, DISCO):
counter = CharacterLines(series)
counter.collect()
counter.render()
This is one of the most infuriating things about the left. Automation is fantastic! Why the hell should we rail against something that reduces the amount of work people have to do? Why oppose something that reduces risks we have to take in our daily lives?
There's no dignity in human labour. We do it because our survival depends on it. The problem is that the automation of that labour is treated by capitalists as a net profit to the owning class.
We should not be fighting to "maintain employment" FFS. We should be fighting for a reasonable share of the fruits of our community. If your job is automated, you should get a share of the company profits for life and then happily leave for new and different work, not try to prevent the automation in the first place.