Overview

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This Argument centres around fallacy of assuming that high conversion rate is necessarily bad.

Commentary

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<aside> ✍️ Output suggests that high % from assessment to positive diagnosis in private practices is abnormal. It fails to include publicly available data showing a 95% rate in some NHS trusts (EPUT.FOI.22.2572) as a very minimum context as per Sections 4.3.10-11 on impartiality and due weight.

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Concise (119 words)

Detailed (227 words, 1485 characters)

<aside> ✍️ The output alludes that high conversion rates from assessment to positive diagnosis in private practices are abnormal, but it fails to provide adequate statistics to back up the claim, thus violating Sections 3.1, 3.3.1, 4.3.2 - 4.3.8 and 3.3.16, as well as makes generalised claims on very limited and anecdotal data without properly corroborating the contributors accounts or interests. It’s not unreasonable to assume that only people that are highly certain in their condition would spend vast sums of money and time on diagnosis and titration with private clinics, thus contributing to a high conversion rate. EPUT.FOI.22.2572 in Essex reveals that an NHS practice had a 95% conversion rate in 2022. Whilst not conclusive or adequate for country-wide conclusions, this is just one of many facts that the output neglected to include. The Panorama team displayed neglect and open bias towards the standardised ASRS pre-assessment screening questionnaire, failing to outline it’s impact in further increasing the conversion rate. They also failed in seeking and broadcasting adequate statistics on number of people “converting” from each stage and providing a broader, more balanced picture of the funnel. Lack of this easily obtainable information shows clear absence of interest in providing a balanced and well-researched outlook, which violates Section 4.3.10, 4.3.11 on Impartiality in Presenting as well as sections mentioned above on Accuracy, Due Weight and Material Misleading.

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Details

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Raw

Credits

TODO: try to, when summarising, credit the main contributing thoughts (where possible, some aren’t identifiable / not direct quotes but rather Mikes’ mind-melt after reading the subreddit for hours)