NTD⁠100%

Should Firms Be Barred from Buying Single-Family Homes? ⁠90%

6/24/2026, 5:30:06 PM

Topics: Video
Keywords: Youtube

BS Summary: This video contains 23 faulty reasoning types, including Hasty Generalization, Availability Heuristic, and Negativity Bias, with Ambiguity (Equivocation) as the most egregious example at 55.1% saturation with 269 hits. Analysis detected 1,934 faulty-reasoning hits from 488 analyzed words, generating a BS Score of 83.3% and a BS Rank of ⁠90% (2,255 of 21,887 videos). This video is worse (more manipulative) than 89.70% of the video peer group.

DoĀ youĀ happenĀ toĀ knowĀ anyoneĀ who'sĀ strugglingĀ toĀ buyĀ aĀ homeĀ uhĀ inĀ thisĀ market?Ā 
>>Ā Yes.Ā Well,Ā IĀ mean,Ā IĀ thinkĀ everyone'sĀ withĀ theĀ withĀ theĀ interestĀ ratesĀ currentĀ interestĀ ratesĀ andĀ theĀ currentĀ costĀ ofĀ housingĀ uhĀ increasing,Ā right?Ā UhĀ obviously,Ā it'sĀ moreĀ it'sĀ difficultĀ forĀ youngerĀ folksĀ toĀ beĀ ableĀ toĀ affordĀ umĀ houses.Ā 
>>Ā Well,Ā IĀ thinkĀ so.Ā IĀ mean,Ā youĀ seeĀ pricesĀ risingĀ aĀ lot.Ā So,Ā onĀ aĀ onĀ average,Ā yeah,Ā peopleĀ areĀ havingĀ problems.Ā 
>>Ā So,Ā ifĀ yourĀ myĀ sonĀ cameĀ outĀ ofĀ schoolĀ andĀ wantsĀ to,Ā youĀ know,Ā hasĀ aĀ niceĀ careerĀ workingĀ inĀ WallĀ Street,Ā youĀ know,Ā makingĀ aĀ five-figureĀ jobĀ bigĀ salary,Ā andĀ thenĀ allĀ ofĀ aĀ sudden,Ā youĀ say,Ā "Oh,Ā IĀ meetĀ aĀ niceĀ girl.Ā IĀ wantĀ toĀ getĀ aĀ home."Ā 
Now,Ā weĀ haveĀ twoĀ ofĀ thoseĀ salariesĀ togetherĀ toĀ buyĀ theĀ houseĀ nowĀ atĀ 600Ā asĀ aĀ baseĀ home,Ā nothingĀ fancy.Ā That'sĀ aĀ lotĀ ofĀ moneyĀ toĀ haveĀ aĀ mortgageĀ on.Ā 
>>Ā There'sĀ fewerĀ starterĀ homesĀ outĀ there.Ā 
UmĀ youĀ haveĀ aĀ largeĀ numberĀ ofĀ uhĀ boomersĀ thatĀ areĀ retiringĀ thatĀ aren'tĀ downsizingĀ toĀ smallerĀ homes.Ā ThatĀ contributes.Ā AndĀ theĀ interestĀ rates.Ā AndĀ largeĀ institutionalĀ investorsĀ buyingĀ upĀ homes.Ā 
>>Ā PresidentĀ TrumpĀ hasĀ beenĀ talkingĀ aboutĀ barringĀ largeĀ institutionalĀ investorsĀ fromĀ buyingĀ upĀ single-familyĀ homes.Ā UhĀ whatĀ doĀ youĀ makeĀ ofĀ that?Ā 
>>Ā Well,Ā ifĀ theĀ issueĀ isĀ there'sĀ notĀ enoughĀ housing,Ā right?Ā AndĀ youĀ haveĀ folksĀ withĀ umĀ tonsĀ ofĀ moneyĀ investingĀ andĀ buyingĀ housesĀ andĀ usingĀ itĀ forĀ theirĀ ownĀ goodĀ insteadĀ ofĀ usingĀ itĀ forĀ theĀ public,Ā IĀ thinkĀ that'sĀ anĀ issue.Ā 
>>Ā DoĀ youĀ thinkĀ thisĀ isĀ aĀ stepĀ inĀ theĀ rightĀ direction?Ā 
>>Ā IĀ do,Ā 100%.Ā But,Ā I'mĀ curiousĀ howĀ it'sĀ goingĀ toĀ panĀ outĀ becauseĀ there'sĀ aĀ lotĀ ofĀ controlĀ fromĀ thoseĀ bigĀ institutions.Ā 
AtĀ leastĀ BerkshireĀ Hathaway,Ā BlackRock,Ā thoseĀ twoĀ inĀ particular,Ā IĀ wouldĀ say,Ā areĀ big-timeĀ umĀ ownersĀ ofĀ theseĀ kindĀ ofĀ uhĀ single-familyĀ homesĀ thatĀ the,Ā youĀ know,Ā 
youngĀ peopleĀ wantĀ toĀ wantĀ toĀ tryĀ toĀ purchase.Ā 
>>Ā IĀ thinkĀ it'sĀ aĀ goodĀ thing.Ā There'sĀ noĀ wayĀ youngĀ people,Ā especiallyĀ justĀ outĀ ofĀ college,Ā canĀ competeĀ withĀ anĀ institutionalĀ investorĀ thatĀ comesĀ inĀ withĀ aĀ cashĀ offerĀ that'sĀ 10Ā orĀ 20%Ā aboveĀ askingĀ price.Ā There'sĀ justĀ There'sĀ noĀ competition.Ā 
>>Ā It'sĀ hardĀ forĀ aĀ lotĀ ofĀ neighborhoodsĀ justĀ toĀ beĀ establishedĀ becauseĀ they'reĀ allĀ rentals.Ā AĀ lotĀ ofĀ them,Ā aĀ majorityĀ ofĀ ofĀ themĀ areĀ rentalsĀ now.Ā 
>>Ā CuzĀ youĀ putĀ moreĀ ofĀ theĀ landĀ andĀ moreĀ ofĀ theĀ housesĀ inĀ controlĀ ofĀ aĀ fewĀ people,Ā youĀ know,Ā theyĀ kindĀ ofĀ getĀ aĀ monopoly.Ā 
TheyĀ ownĀ largeĀ sectionsĀ ofĀ landĀ andĀ kindĀ ofĀ doĀ whatĀ theyĀ wantĀ toĀ doĀ withĀ it.Ā 
InvestmentsĀ goodĀ inĀ someĀ aspectsĀ ofĀ it,Ā 
butĀ buyingĀ upĀ largeĀ piecesĀ ofĀ landĀ andĀ 
kindĀ ofĀ themĀ owningĀ thingsĀ IĀ thinkĀ isĀ isĀ probablyĀ notĀ theĀ best.Ā 
Article reasoning-pattern comparisonThis article: 15.0%NTD: 15.7%Confirmation Bias15.0%This article: 6.4%NTD: 3.9%Anchoring Bias6.4%This article: 39.8%NTD: 12.2%Availability Heuristic39.8%This article: 24.2%NTD: 2.4%Representativeness Heuristic24.2%This article: 4.7%NTD: 1.8%Hindsight Bias4.7%This article: 28.3%NTD: 9.3%Overconfidence Bias28.3%This article: 7.4%NTD: 22.7%Framing Effect7.4%This article: 0.0%NTD: 1.9%Loss Aversion0.0%This article: 1.6%NTD: 2.0%Status Quo Bias1.6%This article: 0.0%NTD: 0.4%Sunk Cost Effect0.0%This article: 0.0%NTD: 9.9%Optimism Bias0.0%This article: 12.9%NTD: 2.8%Pessimism Bias12.9%This article: 29.5%NTD: 17.1%Negativity Bias29.5%This article: 0.0%NTD: 4.8%Self-Serving Bias0.0%This article: 12.3%NTD: 3.2%Fundamental Attribution Error12.3%This article: 0.0%NTD: 0.7%Actor-Observer Bias0.0%This article: 0.0%NTD: 8.2%In-Group Bias0.0%This article: 0.0%NTD: 4.4%Out-Group Homogeneity Bias0.0%This article: 1.4%NTD: 6.7%Halo Effect1.4%This article: 0.0%NTD: 0.3%Horn Effect0.0%This article: 0.0%NTD: 0.2%Dunning-Kruger Effect0.0%This article: 0.0%NTD: 3.9%Recency Bias0.0%This article: 13.3%NTD: 2.3%Primacy Effect13.3%This article: 2.7%NTD: 0.1%Blind-Spot Bias2.7%This article: 0.0%NTD: 1.6%Ad Hominem0.0%This article: 0.0%NTD: 1.2%Straw Man0.0%This article: 10.2%NTD: 14.0%Appeal to Authority10.2%This article: 19.1%NTD: 5.5%False Dilemma19.1%This article: 0.0%NTD: 3.4%Slippery Slope0.0%This article: 0.0%NTD: 0.5%Circular Reasoning0.0%This article: 49.2%NTD: 17.3%Hasty Generalization49.2%This article: 0.0%NTD: 0.5%Red Herring0.0%This article: 0.0%NTD: 2.7%Bandwagon0.0%This article: 13.5%NTD: 22.3%Appeal to Emotion13.5%This article: 11.1%NTD: 6.1%Begging the Question11.1%This article: 22.3%NTD: 5.1%Post Hoc (False Cause)22.3%This article: 0.0%NTD: 0.3%Tu Quoque0.0%This article: 0.0%NTD: 4.4%Burden of Proof0.0%This article: 0.0%NTD: 0.7%Appeal to Nature0.0%This article: 0.0%NTD: 1.4%Composition/Division0.0%This article: 13.7%NTD: 6.4%Anecdotal13.7%This article: 0.0%NTD: 0.5%No True Scotsman0.0%This article: 55.1%NTD: 4.6%Ambiguity (Equivocation)55.1%This article: 0.0%NTD: 0.0%Gambler’s Fallacy0.0%This article: 2.7%NTD: 0.4%Middle Ground2.7%This article: 0.0%NTD: 0.4%Personal Incredulity0.0%This article: 0.0%NTD: 0.2%Special Pleading0.0%This article: 0.0%NTD: 0.7%Genetic Fallacy0.0%This article: 0.0%NTD: 2.1%Unattributed Quote0.0%This article: 0.0%NTD: 0.4%Quote-first Misdirection0.0%This article: 0.0%NTD: 5.0%Biased Writer Voice0.0%This article: 0.0%NTD: 2.2%Indoctrination0.0%This article: 0.0%NTD: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%NTD: 4.1%Politically Right Leaning Bias0.0%This article: 0.0%NTD: 0.6%Attempt to Sell a Product or S…0.0%

488 words analyzed.

Speakers

2speakers10%attributed speech438writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 8 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 51 words • 0.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 31 words • 0.0% coveragePresident Trump • 23 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageBerkshire Hathaway • 27 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 42 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverage
Selected voice

Berkshire Hathaway

100%flagged-word coverage
27 attributed words54% of attributed speech100% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.