File:Bilişsel Yanlılıklar Kodeksi.png
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DescriptionBilişsel Yanlılıklar Kodeksi.png |
Türkçe: Vikipedi'de yer alan 188 bilişsel önyargı listesi kullanılarak başlıklar John Manoogian III (jm3) tarafından kategorilere ayrılmış ve radyal bir dendrogram (daire diyagramı) olarak sunulmuştur. Kategori modeli Buster Benson, ilgili Vikipedi makaleleri TilmannR tarafından bağlantılandırılmıştır. Orjinal kaynakta verilen kod kullanılarak, dosya Ayşenur Büyükkaymaz tarafından literatür terminolojisine uygun olacak şekilde Türkçe'ye çevrilmiştir. Çeviri manuel olarak gerçekleştirilmiştir.
English: Wikipedia’s list of 188 cognitive biases, grouped into categories and rendered by John Manoogian III (jm3) as a radial dendrogram (circle diagram). Category model by Buster Benson, biases linked to corresponding Wikipedia articles by TilmannR. By using the code given in the original source, the file was translated into Turkish by Ayşenur Büyükkaymaz in accordance with the literature terminology. The translation was done by hand. |
Date | |
Source |
This file was derived from: The Cognitive Bias Codex - 180+ biases, designed by John Manoogian III (jm3).png: |
Author |
By design: John Manoogian III categories and descriptions: Buster Benson implementation: TilmannR Translation: Ayşenur Büyükkaymaz. Tasarlayan: John Manoogian III, Kategoriler ve Açıklamalar: Buster Benson, Uygulama: TilmannR Çeviri: Ayşenur Büyükkaymaz. |
PNG development InfoField | This diagram uses embedded text that can be easily translated using a text editor. |
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var tree_text = {name: "B İ L İ Ş S E L Y A N L I L I K L A R K O D E K S İ", children:[
{name: "BİLGİ \nFAZLALIĞI", children:[
{name: "Hafızada önceden hazırlanmış veya sık sık \ntekrarlanan şeyleri fark ederiz", children:[
{name: "Bulunabilirlik Kısayolu/Sezgisi" ,article: "Availability_heuristic"},
{name: "Dikkat Yanlılığı" ,article: "Attentional_bias"},
{name: "Yanıltıcı Gerçek Etkisi" ,article: "Illusory_truth_effect"},
{name: "Aşinalık/(Sadece) Maruz Kalma Etkisi" ,article: "Mere-exposure_effect"},
{name: "Bağlam Etkisi" ,article: "Context_effect"},
{name: "İpucuna Bağımlı Unutma" ,article: "Cue-dependent_forgetting"},
{name: "Ruh Haline Uyumlu Hafıza Yanlılığı" ,article: "Mood_congruence"},
{name: "Frekans İllüzyonu" ,article: "List_of_cognitive_biases#Frequency_illusion"},
{name: "Baader–Meinhof Fenomeni" ,article: "List_of_cognitive_biases#Frequency_illusion"},
{name: "Empati Boşluğu" ,article: "Empathy_gap"},
{name: "İhmal Yanlılığı" ,article: "Omission_bias"},
{name: "Temel Oran Yanılgısı" ,article: "Base_rate_fallacy"},
]},
{name: "Tuhaf, komik, görsel olarak çarpıcı veya \nantropomorfik şeyler, tuhaf veya komik \nolmayan şeylerden daha fazla göze çarpıyor", children:[
{name: "Tuhaflık Etkisi" ,article: "Bizarreness_effect"},
{name: "Mizah Etkisi" ,article: "List_of_cognitive_biases#Humor_effect"},
{name: "Von Restorff Etkisi" ,article: "Von_Restorff_effect"},
{name: "Resim Üstünlüğü Etkisi" ,article: "Picture_superiority_effect"},
{name: "Öz Referanslama Etkisi" ,article: "Self-reference_effect"},
{name: "Olumsuzluk/Negatiflik Yanlılığı" ,article: "Negativity_bias"},
]},
{name: "Bir şeyler değiştiğinde fark ederiz", children:[
{name: "Demirlemek/Çapalamak" ,article: "Anchoring_(cognitive_bias)"},
{name: "Konservatizm/Muhafazakarlık" ,article: "Conservatism_(belief_revision)"},
{name: "Kontrast/Zıtlık Etkisi" ,article: "Contrast_effect"},
{name: "Ayrım Yanlılığı" ,article: "Distinction_bias"},
{name: "Odaklama Etkisi" ,article: "Anchoring#Focusing_effect"},
{name: "Çerçeveleme Etkisi" ,article: "Framing_effect_(psychology)"},
{name: "Para Yanılsaması" ,article: "Money_illusion"},
{name: "Weber-Fechner Yasası" ,article: "Weber–Fechner_law"},
]},
{name: "Mevcut inançlarımızı doğrulayan \nayrıntılara çekiliyoruz", children:[
{name: "Onay Yanlılığı" ,article: "Confirmation_bias"},
{name: "Uyum Yanlılığı" ,article: "Congruence_bias"},
{name: "Satın Alma Sonrası Rasyonalizasyonu" ,article: "Choice-supportive_bias"},
{name: "Karar Desteği Eğilimi/Yanlılığı" ,article: "Choice-supportive_bias"},
{name: "Algıda Seçicilik" ,article: "Selective_perception"},
{name: "Gözlemci-Beklentisi Etkisi" ,article: "Observer-expectancy_effect"},
{name: "Deneyci Yanlılığı" ,article: "Observer-expectancy_effect"}, // NOTE(TilmannR): Should duplicates like these be removed or grouped together or left unchanged?
{name: "Gözlemci Etkisi" ,article: "Observer-expectancy_effect"},
{name: "Beklenti Yanlılığı" ,article: "Observer-expectancy_effect"},
{name: "Devekuşu Etkisi" ,article: "Ostrich_effect"},
{name: "Öznel Doğrulama" ,article: "Subjective_validation"},
{name: "Devam Eden Tesir Etkisi" ,article: "Confirmation_bias#continued_influence_effect"},
{name: "Semmelweis Refleksi" ,article: "Semmelweis_reflex"},
]},
{name: "Başkalarındaki kusurları \nkendimizde gördüğümüzden \ndaha kolay fark ederiz", children:[
{name: "Yanlılık Kör Noktası" ,article: "Bias_blind_spot"},
{name: "Naif Sinizm (Kinizm)" ,article: "Naïve_cynicism"},
{name: "Naif Gerçekçilik" ,article: "Naïve_realism_(psychology)"},
]},
]},
{name: "YETERSİZ \nANLAM", children:[
{name: "Seyrek verilere bakarken \nhikayeler ve veriler bulma \neğilimindeyiz", children:[
{name: "Konfabulasyon" ,article: "Confabulation"},
{name: "Kümelenme Yanılsaması" ,article: "Clustering_illusion"},
{name: "Örnek Boyutuna Duyarsızlık" ,article: "Insensitivity_to_sample_size"},
{name: "Olasılıkların İhmal Edilmesi" ,article: "Neglect_of_probability"},
{name: "Anekdot Yanılgısı" ,article: "Anecdotal_evidence"},
{name: "Geçerlilik Yanılsaması" ,article: "Illusion_of_validity"},
{name: "Maskeli Adam Yanılgısı" ,article: "Masked-man_fallacy"},
{name: "Güncellik Yanılsaması" ,article: "Recency_illusion"},
{name: "Kumarbaz Yanılgısı" ,article: "Gambler's_fallacy"},
{name: "Seri Galibiyet Yanılgısı" ,article: "Hot-hand_fallacy"},
{name: "Korelasyon Yanılsaması" ,article: "Illusory_correlation"},
{name: "Pareidolia" ,article: "Pareidolia"},
{name: "Antropomorfizm/İnsan Biçimcilik" ,article: "Anthropomorphism#Psychology"},
]},
{name: "Kalıp yargılardan, genellemelerden \nve önceki tarihlerden gelen \nözellikler ile doldururuz", children:[
{name: "Grup İlişkilendirme Hatası" ,article: "Group_attribution_error"},
{name: "Nihai İlişkilendirme Hatası" ,article: "Ultimate_attribution_error"},
{name: "Stereotipleme/Kalıp Yargısallaştırma" ,article: "Stereotype"},
{name: "Özcülük/Esansiyalizm/Temel Esasçılık" ,article: "Essentialism"},
{name: "Fonksiyonel Sabitlik" ,article: "Functional_fixedness"},
{name: "Ahlaki Kimlik/Kendini Lisanslama" ,article: "Self-licensing"},
{name: "Adil Dünya Hipotezi" ,article: "Just-world_hypothesis"},
{name: "Yanılgıdan Argüman/Yanılgı Yanılgısı" ,article: "Argument_from_fallacy"},
{name: "Otorite Yanlılığı" ,article: "Authority_bias"},
{name: "Otomasyon Yanlılığı" ,article: "Automation_bias"},
{name: "Sürü Psikolojisi" ,article: "Bandwagon_effect"},
{name: "Plasebo Etkisi" ,article: "Placebo"},
]},
{name: "Aşina olduğumuz veya sevdiğimiz \nşeyleri ve insanları \ndaha iyi hayal ederiz", children:[
{name: "Grup Dışı Homojenlik Yanlılığı" ,article: "Out-group_homogeneity"},
{name: "Farklı Irk Etkisi" ,article: "Cross-race_effect"},
{name: "Grup İçi Kayırma" ,article: "In-group_favoritism"}, // NOTE(TilmannR): changed name from "bias" to "favoritism"
{name: "Halo Etkisi" ,article: "Halo_effect"},
{name: "Amigo Kız Etkisi" ,article: "Cheerleader_effect"},
{name: "Olumlama Etkisi" ,article: "Positivity_effect"},
{name: "Burada İcat Edilmedi" ,article: "Not_invented_here"},
{name: "Reaktif Devalüasyon" ,article: "Reactive_devaluation"},
{name: "Sık Kullanılan Yol Etkisi" ,article: "Well_travelled_road_effect"},
]},
{name: "Olasılıkları ve sayıları düşünmeyi \nkolaylaştırmak için basitleştiririz", children:[
{name: "Zihinsel Muhasebe" ,article: "Mental_accounting"},
{name: "Olasılığa Başvurma Yanılgısı" ,article: "Appeal_to_probability"},
{name: "Normallik Yanlılığı" ,article: "Normalcy_bias"},
{name: "Murphy Kanunu" ,article: "Murphy's_law"},
{name: "Sıfır Toplamlı Yanlılığı" ,article: "Zero-sum_thinking"},
{name: "Hayatta Kalan Yanlılığı" ,article: "Survivorship_bias"},
{name: "Toplamaltılık/Mutlak Maliyet Etkisi" ,article: "Subadditivity_effect"},
{name: "Ölçü Birimi Etkisi" ,article: "Denomination_effect"},
{name: "Sihirli Sayı 7 ± 2" ,article: "The_Magical_Number_Seven,_Plus_or_Minus_Two"},
]},
{name: "Başkalarının ne düşündüğünü\nbildiğimize inanırız.", children:[
{name: "Şeffaflık Yanılsaması" ,article: "Illusion_of_transparency"},
{name: "Bilginin Laneti" ,article: "Curse_of_knowledge"},
{name: "Spot Işığı Etkisi" ,article: "Spotlight_effect"},
{name: "Dışsal Motivasyon Hatası" ,article: "Extrinsic_incentives_bias"},
{name: "Dış Etken Yanılsaması" ,article: "Illusion_of_external_agency"},
{name: "Asimetrik İçgörü Yanılsaması" ,article: "Illusion_of_asymmetric_insight"},
]},
{name: "Mevcut zihniyet ve varsayımlarımızı\ngeçmişe ve geleceğe yansıtırız", children:[
{name: "Teleskop Etkisi" ,article: "Telescoping_effect"},
{name: "Geçmişe Pembe (Gözlüklerle) Bakış" ,article: "Rosy_retrospection"},
{name: "Geri Görüş Yanlılığı" ,article: "Hindsight_bias"},
{name: "Sonuç Yanlılığı" ,article: "Outcome_bias"},
{name: "Ahlaki Şans" ,article: "Moral_luck"},
{name: "Gerilemecilik" ,article: "Declinism"},
{name: "Etki Yanlılığı" ,article: "Impact_bias"},
{name: "Karamsarlık Yanlılığı" ,article: "Optimism_bias#Pessimism_bias"},
{name: "Planlama Yanılgısı" ,article: "Planning_fallacy"},
{name: "Zaman Kazanma Yanlılığı" ,article: "Time-saving_bias"},
{name: "İnovasyon Destekçisi Yanlılığı" ,article: "Pro-innovation_bias"},
{name: "Yansıtma Yanlılığı" ,article: "Affective_forecasting#Projection_bias"},
{name: "Kısıtlılık Yanlılığı" ,article: "Restraint_bias"},
{name: "Öz Tutarlılık/Sabit Fikirlilik Yanlılığı" ,article: "List_of_cognitive_biases#Consistency_bias"},
]},
]},
{name: "HIZLI HAREKET\n ETME İHTİYACI", children:[
{name: "Harekete geçmek için,bir etki yaratabileceğimizden\n emin olmalı ve yaptığımız şeyin önemli\n olduğunu hissetmeliyiz", children:[
{name: "Aşırı Güven Etkisi" ,article: "Overconfidence_effect"},
{name: "Sosyal İstenirlik Yanlılığı" ,article: "Social_desirability_bias"},
{name: "Üçüncü Şahıs Etkisi" ,article: "Third-person_effect"},
{name: "Hatalı Fikir Birliği Etkisi" ,article: "False_consensus_effect"},
{name: "Zor-Kolay Etkisi" ,article: "Hard–easy_effect"},
{name: "Wobegone Gölü Etkisi" ,article: "Lake_Wobegon#The_Lake_Wobegon_effect"},
{name: "Dunning–Kruger Etkisi" ,article: "Dunning–Kruger_effect"},
{name: "Benmerkezci Yanlılık" ,article: "Egocentric_bias"},
{name: "İyimserlik Yanlılığı" ,article: "Optimism_bias"},
{name: "Ön Etki" ,article: "Barnum_effect"},
{name: "Barnum Etkisi" ,article: "Barnum_effect"},
{name: "Kendine Hizmet Eden Yanlılık" ,article: "Self-serving_bias"},
{name: "Aktör-Gözlemci Yanlılığı" ,article: "Actor–observer_asymmetry#bias"},
{name: "Kontrol Yanılsaması" ,article: "Illusion_of_control"},
{name: "Üstünlük Yanılsaması" ,article: "Illusory_superiority"},
{name: "Temel Atfetme Hatası" ,article: "Fundamental_attribution_error"},
{name: "Savunmacı Atfetme Hipotezi" ,article: "Defensive_attribution_hypothesis"},
{name: "Özellik Yakıştırma Yanlılığı" ,article: "Trait_ascription_bias"},
{name: "Çaba Gerekçelendirmesi" ,article: "Effort_justification"},
{name: "Risk Tazminatı" ,article: "Risk_compensation"},
{name: "Peltzman Etkisi" ,article: "Risk_compensation#Peltzman_effect"},
]},
{name: "Odaklanabilmek için,\nönümüzde bulunan, doğrudan,\nilişkilendirilebilir şeyi tercih ederiz", children:[
{name: "Hiperbolik İndirgeme" ,article: "Hyperbolic_discounting"},
{name: "Yeniliğe Başvurma" ,article: "Appeal_to_novelty"},
{name: "Tanımlanabilir Mağdur Etkisi" ,article: "Identifiable_victim_effect"},
]},
{name: "İşleri halletmek için \nzaman ve enerji harcadığımız şeyleri \ntamamlama eğilimindeyiz", children:[
{name: "Batık Maliyet Yanılgısı" ,article: "Sunk_cost#Loss_aversion_and_the_sunk_cost_fallacy"}, // NOTE(TilmannR): "Sunk Cost Fallacy" redirects to "Escalation_of_commitment", but "Sunk cost fallacy" redirects to "Sunk_cost#Loss_aversion_and_the_sunk_cost_fallacy".
{name: "İrrasyonel Yükseliş" ,article: "Escalation_of_commitment"},
{name: "Taahhüdün/Adanmışlığın Artması" ,article: "Escalation_of_commitment"},
{name: "Üretme Etkisi" ,article: "Generation_effect"},
{name: "Kayıptan Kaçınma" ,article: "Loss_aversion"},
{name: "IKEA Etkisi" ,article: "IKEA_effect"},
{name: "Birim Yanlılığı" ,article: "List_of_cognitive_biases"}, // NOTE(TilmannR): Linking to "List_of_cognitive_biases#Unit_bias" doesn't work.
{name: "Sıfır Risk Yanlılığı" ,article: "Zero-risk_bias"},
{name: "Mizaç Etkisi" ,article: "Disposition_effect"},
{name: "Sözde Kesinlik Etkisi" ,article: "Pseudocertainty_effect"},
{name: "İşleme Zorluğu Etkisi" ,article: "List_of_cognitive_biases#Processing_difficulty_effect"}, // NOTE(TilmannR): Same as "Levels-of-processing effect"?
{name: "Mal Varlığı Etkisi" ,article: "Endowment_effect"},
{name: "Geri Tepme Etkisi" ,article: "Confirmation_bias#backfire_effect"},
]},
{name: "Hatalardan kaçınmak için özerkliği, \ngrup durumunu korumayı \nve geri dönüşü olmayan \n kararlardan kaçınmayı amaçlıyoruz", children:[
{name: "Sistem Gerekçelendirmesi" ,article: "System_justification"},
{name: "Ters Psikoloji" ,article: "Reverse_psychology"},
{name: "Reaktans/Tepkinlik" ,article: "Reactance_(psychology)"},
{name: "Yem Etkisi" ,article: "Decoy_effect"},
{name: "Sosyal Karşılaştırma Yanlılığı" ,article: "Social_comparison_bias"}, // NOTE(TilmannR): bias or effect?
{name: "Statüko Yanlılığı" ,article: "Status_quo_bias"},
]},
{name: "Karmaşık, belirsiz seçenekler yerine \nbasit görünen seçenekleri ve \neksiksiz bilgiyi tercih ederiz", children:[
{name: "Belirsizlik Etkisi" ,article: "Ambiguity_effect"}, // NOTE(TilmannR): bias or effect?
{name: "Bilgi Yanlılığı" ,article: "Information_bias_(psychology)"},
{name: "İnanç Yanlılığı" ,article: "Belief_bias"},
{name: "Kafiyeliyse Makuldür Etkisi" ,article: "Rhyme-as-reason_effect"},
{name: "Bisiklet Çevirme Etkisi" ,article: "Law_of_triviality"},
{name: "Önemsizlik Yasası" ,article: "Law_of_triviality"},
{name: "Bağlaç Yanılgısı" ,article: "Conjunction_fallacy"},
{name: "Occam'ın Usturası" ,article: "Occam's_razor"},
{name: "Daha Az-Daha İyi Etkisi" ,article: "Less-is-better_effect"},
]},
]},
{name: "NEYİ \nHATIRLAMALIYIZ?", children:[
{name: "Olaydan sonra bazı anıları \ndüzenleyip pekiştiriyoruz", children:[
{name: "Hafızanın Yanlış Atanması" ,article: "Misattribution_of_memory"},
{name: "Kaynağı Karıştırma" ,article: "Misattribution_of_memory#Source_confusion"},
{name: "Kriptomnezi/Gizli Hafıza" ,article: "Cryptomnesia"},
{name: "Sahte Anı" ,article: "False_memory"},
{name: "Telkine Yatkınlık (Sujestibilite)" ,article: "Suggestibility"},
{name: "Aralıklandırma Etkisi" ,article: "Spacing_effect"},
]},
{name: "Genellemeler oluşturmak için\ndetayları ayıklıyoruz", children:[
{name: "Örtük İlişkilendirme/Çağrışım " ,article: "Implicit_stereotype"},
{name: "Örtük Kalıp Yargılar/Stereotipler" ,article: "Implicit_stereotype"},
{name: "Kalıpyargı (Stereotip) Yanlılığı" ,article: "Implicit_stereotype"},
{name: "Peşin Hükümlülük" ,article: "Prejudice"},
{name: "Olumsuzluk/Negatiflik Yanlılığı" ,article: "Negativity_bias"},
{name: "Azalan Duygu/Sönümleme Yanlılığı" ,article: "Fading_affect_bias"},
]},
{name: "Olayları ve listeleri \ntemel unsurlarına indirgiyoruz", children:[
{name: "Tepe Noktası Kuralı" ,article: "Peak–end_rule"},
{name: "Törpüleme Ve Bileme" ,article: "Leveling_and_sharpening"},
{name: "Yanlış Bilgilendirme Etkisi" ,article: "Misinformation_effect"},
{name: "Seri Hatırlama Etkisi" ,article: "Recall_(memory)#Serial_recall"},
{name: "Liste Uzunluğu Etkisi" ,article: "Recall_(memory)#Serial_recall"},
{name: "Süre İhmali" ,article: "Duration_neglect"},
{name: "Modalite Etkisi" ,article: "Modality_effect"},
{name: "Bilinçdışına/Geriye İtim" ,article: "Memory_inhibition"},
{name: "Öncelik Etkisi" ,article: "Serial-position_effect#Primacy_effect"},
{name: "Güncellik Etkisi" ,article: "Serial-position_effect#Recency_effect"},
{name: "Parça Kümesi İpucu Etkisi" ,article: "Memory_inhibition#Part-set_cuing_effect"}, // NOTE(TilmannR): changed "list" to "set"
{name: "Sıralı Konum Etkisi" ,article: "Serial-position_effect"},
{name: "Son Ek Etkisi" ,article: "List_of_cognitive_biases#Suffix_effect"},
]},
{name: "Anıları nasıl deneyimlendiğine bağlı olarak\nfarklı şekilde depolarız", children:[
{name: "İşleme Düzeyleri Etkisi" ,article: "Levels-of-processing_effect"},
{name: "Dalgınlık" ,article: "Absent-mindedness"},
{name: "Test Edilme Etkisi" ,article: "Testing_effect"},
{name: "Sıradaki Kişi Etkisi" ,article: "Next-in-line_effect"},
{name: "Google Etkisi" ,article: "Google_effect"},
{name: "Dilimin Ucunda Fenomeni" ,article: "Tip_of_the_tongue"},
]},
]},
]};
var tree_colors = [
"#098",// cyan (originally #7DB5BA)
"#07A",// blue (originally #93B6D8)
"#490",// green (originally #A4D16E)
"#888",// gray (originally #B2BBB9)
];
var tree_radii = [142,284,428];
var title_text_size = 32;
var category_text_size = 32;
var subcategory_text_size = 15;
var entry_text_size = 11;
var title_y = -720;
var category_x = 770;
var category_y = 580;
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var small_dot_radius = 3.0;
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var circumcircle_radius = 645.0;
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var polar_to_cartesian = function(radius, angle, full_angle){
var angle_in_radians = angle * 2*Math.PI / full_angle;
var x = radius * Math.sin(angle_in_radians);
var y =-radius * Math.cos(angle_in_radians);
return {x:x,y:y};
};
var lerp = function(a, b, t){
return (1.0-t)*a + t*b;
};
var push_radial_path = function(string_array, inner_radius, inner_angle, outer_radius, outer_angle, full_angle){
var inner_position = polar_to_cartesian(inner_radius, inner_angle, full_angle);
var outer_position = polar_to_cartesian(outer_radius, outer_angle, full_angle);
var curviness = 0.5; // 0 => straight line, 1.0 => 90 degree turns
var inner_control_radius = lerp(inner_radius, outer_radius, curviness);
var outer_control_radius = lerp(outer_radius, inner_radius, curviness);
var inner_control = polar_to_cartesian(inner_control_radius, inner_angle, full_angle);
var outer_control = polar_to_cartesian(outer_control_radius, outer_angle, full_angle);
string_array.push('<path d="M',
inner_position.x,' ',inner_position.y,' C ',
inner_control.x ,' ',inner_control.y ,', ',
outer_control.x ,' ',outer_control.y ,', ',
outer_position.x,' ',outer_position.y,'"/>\n');
};
var push_circle = function(string_array, position, radius){
string_array.push('<circle cx="',position.x,'" cy="',position.y,'" r="',radius,'"/>\n');
};
var push_text = function(string_array, input_string, text_size, attributes, alignment = 0.5)
{
var lines = input_string.split('\n');
var num_lines = lines.length;
if(!(num_lines > 0)) return;
var line_height = text_size * 1.5;
string_array.push('<text ');
string_array.push.apply(string_array, attributes); // Push an array of elements
string_array.push('>');
var total_height = line_height*(num_lines-1) + text_size;
var lowest_position = text_size;
var hightest_position = text_size-total_height;
var y = lerp(lowest_position, hightest_position, alignment);
string_array.push('<tspan x="0" y="',y,'">',lines[0],'</tspan>');
for(var i = 1; i < num_lines; ++i){
string_array.push('<tspan x="0" dy="',line_height,'">',lines[i],'</tspan>');
}
string_array.push('</text>\n');
};
var generate = function(){
// Figure out the positioning of the entries
var angle_offset = 0.5 * (1 + category_spacing + sub_category_spacing);
var accumulator = angle_offset;
var num_sub_categories = 0;
var num_entries = 0;
var categories = tree_text.children || [];
var num_categories = categories.length;
for(var i = 0; i < num_categories; ++i){
var category = categories[i];
var sub_categories = category.children || [];
num_sub_categories += sub_categories.length;
for(var k = 0; k < sub_categories.length; ++k){
var sub_category = sub_categories[k];
var entries = sub_category.children || [];
num_entries += entries.length;
for(var m = 0; m < entries.length; ++m){
entries[m].angle = accumulator;
accumulator += 1;
}
accumulator += sub_category_spacing;
var first_angle = entries[0].angle;
var last_angle = entries[entries.length-1].angle;
sub_category.angle = (first_angle + last_angle) * 0.5;
}
accumulator += category_spacing;
var first_angle = sub_categories[0].angle;
var last_angle = sub_categories[sub_categories.length-1].angle;
category.angle = (first_angle + last_angle) * 0.5;
}
var full_angle = accumulator - angle_offset;
// 'Draw' everything
var result = []; // Array of strings and numbers to be merged into the SVG's content.
var text_flipping_attributes = 'text-anchor="end" transform="rotate(180 12,0)"';
// Draw the outer circle
result.push('<circle r="',circumcircle_radius,'" style="stroke:',circumcircle_color,';" fill="none"/>\n');
// Draw the title
result.push('<text style="font-size:',title_text_size,'px; font-weight:bold; text-anchor:middle;" y="',title_y,'">',tree_text.name,'</text>');
// Draw the categories
result.push('<g style="font-size:',category_text_size,'px;">\n');
{
var attributes_0 = ['style="text-anchor:middle; font-weight:bold; fill:',tree_colors[0],'" transform="translate(', category_x,',',-category_y,')"'];
var attributes_1 = ['style="text-anchor:middle; font-weight:bold; fill:',tree_colors[1],'" transform="translate(', category_x,',', category_y,')"'];
var attributes_2 = ['style="text-anchor:middle; font-weight:bold; fill:',tree_colors[2],'" transform="translate(',-category_x,',', category_y,')"'];
var attributes_3 = ['style="text-anchor:middle; font-weight:bold; fill:',tree_colors[3],'" transform="translate(',-category_x,',',-category_y,')"'];
push_text(result, categories[0].name, category_text_size, attributes_0);
push_text(result, categories[1].name, category_text_size, attributes_1);
push_text(result, categories[2].name, category_text_size, attributes_2);
push_text(result, categories[3].name, category_text_size, attributes_3);
}
result.push('</g>');
// Draw everything else
result.push('<g style="font-size:',entry_text_size,'px;">\n');
for(var i = 0; i < num_categories; ++i){
var category = categories[i];
result.push('<g style="fill:',tree_colors[i],'; stroke:',tree_colors[i],';">\n');
var sub_categories = category.children || [];
var num_sub_categories = sub_categories.length;
for(var k = 0; k < num_sub_categories; ++k){
var sub_category = sub_categories[k];
result.push('<g>\n');
var is_flipped = (sub_category.angle > (full_angle / 2));
// Draw the entries and the curvy trees
var entries = sub_category.children || [];
var num_entries = entries.length;
for(var m = 0; m < num_entries; ++m){
var entry = entries[m];
var angle_in_degrees = entry.angle * 360.0 / full_angle - 90.0;
if(entry.article){
result.push('<a xlink:href="',link_prefix,entry.article,'">\n');
}
result.push('<g transform="rotate(',angle_in_degrees,') translate(',tree_radii[2],')">\n', // Using a more pleasant coordinate system
'<circle cx="3" r="',small_dot_radius,'"/>\n', // Draw a small dot
'<text x="12" y="4" ',(is_flipped? text_flipping_attributes:''),'>',
entry.name,'</text>\n', // Draw the entry's text
'</g>\n');
push_radial_path(result, tree_radii[1], sub_category.angle, tree_radii[2], entry.angle, full_angle);
if(entry.article){
result.push('</a>\n');
}
}
push_radial_path(result, tree_radii[0], category.angle, tree_radii[1], sub_category.angle, full_angle);
// Draw the subcategories
var position = polar_to_cartesian(circumcircle_radius, sub_category.angle, full_angle);
push_circle(result, position, big_dot_radius);
var text_attributes = ['style="font-size:',subcategory_text_size,'px;" '];
if(is_flipped){
text_attributes.push('transform="translate(',position.x-24,',',position.y,')" text-anchor="end"');
}else{
text_attributes.push('transform="translate(',position.x+24,',',position.y,')"');
}
var alignment = 0.5 * (1.0 + Math.cos(sub_category.angle * 2*Math.PI / full_angle));
push_text(result, sub_category.name, subcategory_text_size, text_attributes, alignment);
result.push('</g>\n');
}
result.push('</g>\n');
}
result.push('</g>\n');
// Truncate all numbers.
for(var i = 0; i < result.length; ++i){
if(typeof result[i] !== "number"){ continue; }
result[i] = result[i].toFixed(1);
}
var biases = document.getElementById("biases");
biases.innerHTML = result.join('');
};
generate();
]]></script>
</g>
<g id="brain" transform="translate(950,775) scale(0.09)">
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current | 13:58, 13 September 2022 | 3,816 × 3,032 (2.67 MB) | AyseBkaymaz (talk | contribs) | Uploaded a work by By design: John Manoogian III User:Jm3 categories and descriptions: Buster Benson implementation: TilmannR - This file was derived from: File:The Cognitive Bias Codex - 180+ biases, designed by John Manoogian III (jm3).png:, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=69756809 Tasarlayan: John Manoogian III, kategoriler ve açıklamalar: Buster Benson, uygulama: TilmannR. Bu dosya, The Cognitive Bias Codex - 180+ biases, designed by John Manoogian III (jm3)... |
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