Shadow First Secretary of State

The Shadow First Secretary of State is a position in the United Kingdom's Shadow Cabinet that was created on 11 May 2015 by the Leader of the Opposition, Harriet Harman for her interim shadow cabinet. Prior to 2015, the office was known as Shadow Deputy Prime Minister of the United Kingdom. Even though the role has no specific responsibilities attached to it, the holder of the position shadows the First Secretary of State and deputises for the Leader of the Opposition in Prime Minister's Questions when the First Secretary is deputising for the Prime Minister.[1] The current office-holder is Deputy Labour Leader Angela Rayner, who succeeded Emily Thornberry in April 2020.

Shadow First Secretary of State
Incumbent
Angela Rayner

since 9 April 2020
Shadow Cabinet
AppointerLeader of the Opposition
Formation11 May 2015
First holderJack Straw
(Acting Shadow Deputy Prime Minister of the United Kingdom)
Hilary Benn
(Acting)
WebsiteShadow Cabinet

List of Shadow Ministers and Secretaries

Shadow Deputy Prime Minister of the United Kingdom

Shadow Deputy Prime Minister Term of Office Political Party Leader of the Opposition
Jack Straw
Acting
11 May 2010 25 September 2010 Labour Harriet Harman
Harriet Harman 7 October 2010 8 May 2015 Labour Ed Miliband

Shadow First Secretary of State

Shadow First Secretary Term of Office Political Party Leader of the Opposition
Hilary Benn
Acting
11 May 2015 13 September 2015 Labour Harriet Harman
Angela Eagle 13 September 2015 27 June 2016 Labour Jeremy Corbyn
Office not in use from June 2016 to June 2017.
Emily Thornberry 14 June 2017 5 April 2020 Labour Jeremy Corbyn
Angela Rayner 9 April 2020 Present Labour Keir Starmer
gollark: No, lambda calculus is a relatively simple model you can understand fairly easily.
gollark: And with neural networks, you don't actually know *how* the network does its job, just that you feed in pixels and somehow get classification data out.
gollark: There is still not, as far as I know, an approach to detect what an object is other than just training neural networks on the task.
gollark: It's simple to say, for example, "the program should detect if something is a bird", but incredibly hard to actually explain how to detect birds.
gollark: Yes. A lot of the time something can be simple to *vaguely describe* but really hard to describe precisely enough for you to actually program it.

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References

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