cross-posted from: https://lemm.ee/post/38852281

Figures published by the Welsh Government show casualty reductions as follows for the period January to March 2024, in comparison with January to March 2023:

All severities at all speeds: 811 (2024); 4348 (2023);

20mph. All severities: 300 (2024); 662 (2023)

Killed or seriously injured: 63 (2024); 144 (2023)

Slightly injured: 237 (2024); 518 (2023)

30mph. All severities: 77 (2024); 1522 (2023)

Killed or seriously injured: 15 (2024); 343 (2023)

Slightly injured: 62 (2024); 1179 (2023)

40mph. All severities: 74 (2024); 397 (2023)

Killed or seriously injured: 20 (2024); 98 (2023)

Slightly injured: 54 (2024); 299 (2023)

50mph. All severities: 94 (2024); 273 (2023)

Killed or seriously injured: 23 (2024); 67 (2023)

Slightly injured: 71(2024); 206 (2023)

60mph. All severities: 214 (2024); 1235 (2023)

Killed or seriously injured: 71 (2024); 401 (2023)

Slightly injured: 143 (2024); 834 (2023)

70mph. All severities: 52 (2024); 259 (2023)

Killed or seriously injured: 12 (2024); 73 (2023)

Slightly injured: 40 (2024); 186 (2023)

  • Ebby
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    -93 months ago

    Yes it quotes someone, perhaps with bias, making claims countering a special interest group, perhaps with bias, also making claims.

    The conflict here is in the interpretation of data and the accusation of government sampling data to support a desired outcome.

    The group protesting is asking for better explanation and data transparency: without which conclusions will always remain “subjective interpretations”.

    As for reporter fact checking and verifying claims, I can only work with what is written. Dismiss the author and article in its entirety if you wish.

    • Franklin
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      3 months ago

      It’s been in effect for six months. it’s impossible to extrapolate that across this short of a timeline.

      • Ebby
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        03 months ago

        Yes, it’s short. And nowhere near enough data to predict long term trends.

        But it’s also the same data (from Jan - March) the Welsh Government is using. We are arriving at 2 different conclusions based on how data is interpreted. That’s a problem. There are 2 very strong biases at play; one is asking for greater transparency.