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After a very long wait, Star Trek: Discovery returns for its final season with two new episodes this week.
I'm not up for recapping the whole episode, so here's just my main thoughts in no particular order:
Saru and T'Rina get engaged! WHEEEEEEEEEEE! (Don't look at me like that; this is my ONE 'ship, dammit!)
On a similar note... *Sing song voice* Tilly's got a boyfriend!
How on Earth did they manage to get the Soong android make-up to look right on Fred and NOT on Data himself? Also, yes, there's an android named Fred.
Burnham and Book haven't talked much since the events of Season 4.
The big news, of course, is that this season is a direct follow-up to the TNG episode "The Chase". It turns out that one of the Romulans that witnessed the message from the ancient aliens (now referred to as "The Progenitors") eventually found some of their technology. However, it was apparently so dangerous that he hid it away somewhere. So it looks like it'll be the Disco crew vs. Moll and L'ak in a race to find it first.
-------------------- "Kirito? I killed a thing and now it says I have XPs! Is that bad? Am I dying?"
-Asuna, Episode 2, Sword Art Online Abridged
Registered: Mar 1999
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quote:Originally posted by Krenim: How on Earth did they manage to get the Soong android make-up to look right on Fred and NOT on Data himself? Also, yes, there's an android named Fred.
What I found interesting is that Burnham talked about informing Fred's next of kin. I'm half expecting there to be yet another Soong descendant out there played by Brent Spiner that they've shoe-horned into the story.
Registered: Jul 2006
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J. Adam Brown was 39 or 40 when he played Fred. Brent Spiner played Data from when he was 38 up to about 53 without his ageing affecting things TOO much. But when he came back to the role for PIC he was 70, and in the dream sequences in s1 it was obviously far too much of a stretch.
So Brown looking better in the make-up isn’t really surprising…
[And as for Spiner’s appearance as nuDataLoreB4 in s3, there was obviously a clear move away from the “classic” Data look to differentiate]