@af_2022a: #نتصار_الشريف #شريفه #سميه #شنيني #انتصار_الشريف_وبناتها @ToTa🧊انتصار الشريف #سنابات_انتصار_الشريف

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Wednesday 22 May 2024 17:39:27 GMT
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These sound like tricks but are legit, ethical tools when used cleanly. ⚔️ 1. Reverse Ethos Attack ➡️ Expertise can create bias. “Of course an oil exec downplays climate risk — their job demands it.” 2. Motte & Bailey (Exposed) ➡️ Catching someone retreating from a bold claim to a safe one. “You started with ‘capitalism is evil,’ now you’re just saying it has flaws.” 3. Bulverism (Light Form) ➡️ Exploring why someone believes something, without dismissing. “That view makes sense given your background — let’s weigh it against data.” 4. Virtue Signaling (Redeemed) ➡️ Stating values authentically, then backing with proof. “We both care about fairness. Here’s how this policy delivers it.” 5. Whataboutism (Legit Form) ➡️ Testing consistency, not derailing. “If censorship in China is bad, what about surveillance here?” 6. Appeal to Emotion (Ethical Use) ➡️ Pairing stories with stats to make data human. “The numbers show it. Here’s one family’s experience.” 7. Sealioning (Sincere Inquiry) ➡️ Asking persistent questions in good faith. “Can you walk me through that step by step?” 8. Misleading Vividness (Reframed) ➡️ Anecdotes don’t prove, but they illustrate. “The data says X, this story shows how it lands in real life.” ⸻ ⚔️ Rule of Thumb: Illuminate • Test • Humanize → Ethical Stall • Obscure • Manipulate → Fallacy ⸻ 💾 Save this for later. ⚔️ SHARE with your friends who love to argue 😳 #logic #debate #fallacy
These sound like tricks but are legit, ethical tools when used cleanly. ⚔️ 1. Reverse Ethos Attack ➡️ Expertise can create bias. “Of course an oil exec downplays climate risk — their job demands it.” 2. Motte & Bailey (Exposed) ➡️ Catching someone retreating from a bold claim to a safe one. “You started with ‘capitalism is evil,’ now you’re just saying it has flaws.” 3. Bulverism (Light Form) ➡️ Exploring why someone believes something, without dismissing. “That view makes sense given your background — let’s weigh it against data.” 4. Virtue Signaling (Redeemed) ➡️ Stating values authentically, then backing with proof. “We both care about fairness. Here’s how this policy delivers it.” 5. Whataboutism (Legit Form) ➡️ Testing consistency, not derailing. “If censorship in China is bad, what about surveillance here?” 6. Appeal to Emotion (Ethical Use) ➡️ Pairing stories with stats to make data human. “The numbers show it. Here’s one family’s experience.” 7. Sealioning (Sincere Inquiry) ➡️ Asking persistent questions in good faith. “Can you walk me through that step by step?” 8. Misleading Vividness (Reframed) ➡️ Anecdotes don’t prove, but they illustrate. “The data says X, this story shows how it lands in real life.” ⸻ ⚔️ Rule of Thumb: Illuminate • Test • Humanize → Ethical Stall • Obscure • Manipulate → Fallacy ⸻ 💾 Save this for later. ⚔️ SHARE with your friends who love to argue 😳 #logic #debate #fallacy

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