Net support by party
Lib Dem +81
Lab +77
Con +36
Reform +7
yougov.co.uk/topics/socie...
And that's without a mass terror event four days ago
And that's without a mass terror event four days ago
Labour 81-4 (+77)
LibDem 85-4 (+81)
Cons 57-21 (+36)
Reform 40-33 (+7)
By 2026, specific "closer cooperation" proposals generate a positive "wedge" effect for Labour: unite centre-left, split elites from voters on right
Labour 81-4 (+77)
LibDem 85-4 (+81)
Cons 57-21 (+36)
Reform 40-33 (+7)
By 2026, specific "closer cooperation" proposals generate a positive "wedge" effect for Labour: unite centre-left, split elites from voters on right
Now they are closing eight care homes.
Let that sink in.
Now they are closing eight care homes.
Let that sink in.
Following the attack on Bondi beach, Guardian columnist Jonathan Freedland speaks to #Newsnight about its impact on the Jewish community in Britain.
Well ours anyway…
So just which country is Yaxley Lennon and his buddies in Reform working for?
Well ours anyway…
So just which country is Yaxley Lennon and his buddies in Reform working for?
😷
This ignores the fact that Exercise Cygnus literally was a blueprint, and it was live-tested. His cabinet chose to ignore it.
en.wikipedia.org/wiki/Exercis...
😷
This ignores the fact that Exercise Cygnus literally was a blueprint, and it was live-tested. His cabinet chose to ignore it.
en.wikipedia.org/wiki/Exercis...
Immigration bad.
Emigration of same people also bad.
Immigration bad.
Emigration of same people also bad.
Not surprising, but some observations (1/n)
www.ft.com/content/10da...
Not surprising, but some observations (1/n)
www.ft.com/content/10da...
Cool. Cool cool cool.
Cool. Cool cool cool.
It is being opposed by Putin, Musk and the others who support Neo Nazis in Europe.
It is being opposed by Putin, Musk and the others who support Neo Nazis in Europe.
they sold pickles from the front room window, took in laundry, worked as tailors.
their children were nurses, teachers, salesmen.
their grandchildren were professors, designers, opticians, doctors, magistrates, entrepreneurs.
they sold pickles from the front room window, took in laundry, worked as tailors.
their children were nurses, teachers, salesmen.
their grandchildren were professors, designers, opticians, doctors, magistrates, entrepreneurs.