biased
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biased ã¯æåã®æ¯é³ãaɪãã«ã¢ã¯ã»ã³ãã眮ããŸããããã€ã¢ã¹ãããšå¹³åŠã«èªãŸããããããšãã€ããã¯ã£ããäºéæ¯é³ã§çºé³ããŠãã ãããç¶ããÉãã¯å£ã®åãæããææ§ãªé³ã«ããæåŸã®ãstãã¯èå ãäžã®æ¯èã®è£ã«åœãŠãŠæ¯ã ãã§è»œã匟ãããŸããæå£°é³ã®ãdãã§ã¯ãªãç¡å£°é³ã®ãtãã«ãªãç¹ã«æ³šæããŸãããã
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- äžåçŸ
- biases
- é²è¡åœ¢ïŒ-ingïŒ
- biasing
- éå»åœ¢
- biased
- éå»åè©
- biased
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biasedã®æå³ã»äŸæ
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unfairly favoring one person or group over another
The news article was criticized for being heavily biased.
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heavily biased ã¯ãã²ã©ãåã£ããã衚ãå®çªãã¬ãŒãºã§ãã
I might be a little biased, but this is the best restaurant.
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I might be biased, but... ã¯èªåã®å¥œã¿ãèªãæã®æ±ºãŸãæå¥ã§ãã
We must avoid biased hiring practices at all costs.
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having a tendency to show one particular point of view
The survey results were biased because the sample size was too small.
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The algorithm produced biased recommendations based on past user behavior.
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His review of the movie seems biased toward the lead actor.
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biased toward ã§ããã«æå©ã«åã£ãŠããããšããæå³ã«ãªããŸãã
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biased ã¯ãåè© biasïŒåèŠãå å ¥èŠ³ïŒã«æ¥å°ŸèŸ -ed ãã€ããŠåœ¢å®¹è©åããåèªã§ããbias ã®èªæºã¯ãã©ã³ã¹èªã® biaisïŒæãïŒã§ã16äžçŽã®çæã§éå¿ãçåŽã«å¯ã£ãããŒã«ããæãã«è»¢ãããããšãæå³ããŠããŸãããããããã人ã®èããäžæ¹ã«åŸããšããæå³ã«çºå±ããŸãããé¢é£èªã«ã¯ãåèŠã®ãªãç¶æ ã衚ã unbiased ããããŸãã
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biased ã¯ç¹å®ã®æ¹åãžäžåœã«åã£ãŠããç¶æ ãprejudiced ã¯ååãªæ ¹æ ãªãããããã匷ãåæãæã£ãŠããç¶æ ãpartial ã¯ç¹å®ã®äººãç©ãå人çã«ã²ããããç¶æ ã衚ããŸãã
âThe news report was heavily biased toward the government.â
â ç¹å®ã®æ¹åãžã®äžåœãªåãã衚ããŸãã
âHe is prejudiced against people from other countries.â
â æ ¹æ ã®ãªã匷ãåæã嫿ªæã衚ããŸãã
âThe referee was accused of being partial to the home team.â
â å人çãªå¥œã¿ã«ããäžå ¬å¹³ãªã²ããã衚ããŸãã
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à He is biased to women. â He is biased against women. â ããã«å¯ŸããŠåèŠãããïŒäžå©ã«æ±ãïŒãå Žå㯠against ã䜿ããŸãã
à The judge was biased for the defendant. â The judge was biased toward the defendant. â ããã«æå©ã«åã£ãŠãããå Žå㯠toward ã in favor of ã䜿ãã®ãèªç¶ã§ãã
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biased ã®èªæºã§ããåè© bias ã¯ãå ã ãã©ã³ã¹èªã® biaisïŒæããåŸãïŒã«ç±æ¥ããŸãã16äžçŽã®ããŒã³ããŠã«ãºãšããçæã«ãããŠãããŒã«ã®éå¿ãçåŽã«å¯ã£ãŠããŠãæãã«è»¢ãããããšã bias ãšåŒãã ã®ãå§ãŸãã§ãããããããäººã®æèŠã倿ãäžæ¹ã«åŸãããšã衚ãããã«ãªããŸããã
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ãã€ãã£ãã¯èªåã®æèŠãèšãéã«ãè¬éãå眮ããšããŠãI might be biased, but...ïŒã²ããç®ãããããŸãããâŠïŒããšãããã¬ãŒãºããã䜿ããŸããèªåã®å®¶æãæå±ããçµç¹ãè€ããæã«ã客芳çã§ã¯ãªããšèªãã€ã€äž»åŒµãã䟿å©ãªè¡šçŸã§ãã
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âHe has a completely biased view of the situation.â
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âThe policy is heavily biased against small businesses.â
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âThe algorithm is biased toward younger users.â
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What did you think of the candidate we interviewed today?
He was good, but I felt the manager's questions were a bit biased.
Really? In what way did they seem biased?
They seemed biased against people without a traditional tech background.
I see. We need to be careful not to be prejudiced in our hiring.
Exactly. Let's make sure our evaluation process remains completely unbiased.
I will suggest using a standardized scoring system next time.
That would help eliminate any partial judgments.
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Q. biased ãšã¯ïŒ
æèŠã倿ãäžæ¹ã«åŸããå ¬å¹³æ§ãæ¬ ããŠããç¶æ ã§ãããThe article is highly biased.ïŒãã®èšäºã¯éåžžã«åã£ãŠããïŒãã®ããã«ãæ å ±ãè©äŸ¡ãäžç«ã§ãªãããšãææããéã«äœ¿ããŸãã
Q. biased ãš prejudiced ã®éãã¯ïŒ
biased ã¯ç¹å®ã®æ¹åãžæå©ãŸãã¯äžå©ã«åã£ãŠããç¶æ å šè¬ãæããŸããäžæ¹ prejudiced ã¯ãHe is prejudiced against them.ãã®ããã«ãæ ¹æ ã®ãªã匷ãåæãå·®å¥çãªææ ãæã£ãŠããããšã匷調ããŸãã
Q. èªåã®æèŠãèšãæã« biased ã䜿ããšã©ããªããŸããïŒ
è¬éãå眮ããšããŠæ©èœããŸãããI might be biased, but my team is the best.ïŒã²ããç®ãããããŸããããç§ã®ããŒã ãæé«ã§ãïŒãã®ããã«ãèªåã客芳çã§ãªããšèªãã€ã€äž»åŒµããéã«ãã䜿ãããŸãã
Q. biased ã®åŸã«ç¶ãå眮è©ã®äœ¿ãåãã¯ïŒ
äžå©ã«æ±ãå Žå㯠againstãæå©ã«æ±ãå Žå㯠toward ã䜿ããŸãããbiased against womenïŒå¥³æ§ã«äžå©ãªïŒãããbiased toward the richïŒå¯è£å±€ã«æå©ãªïŒãã®ããã«ãæ¹åæ§ãæç¢ºã«ã§ããŸãã
Q. biased ã®å¯ŸçŸ©èªãèšãæã衚çŸã¯ïŒ
åãã®ãªãå ¬å¹³ãªç¶æ ã衚ã unbiased ã objectiveïŒå®¢èгçãªïŒãneutralïŒäžç«ãªïŒã察矩èªã«ãªããŸãããWe need an objective opinion.ïŒå®¢èгçãªæèŠãå¿ èŠã§ãïŒãã®ããã«èšãæããããŸãã
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Q: ãI'm biased, but my team is the best.ãã®æå³ã¯ïŒ