Knicks' Mike Brown: Karl-Anthony Towns is a good defender 'when he wants to be' 40%

By Kristian Winfield0%

4/20/2026, 5:00:45 AM

BS Summary: This article contains 20 faulty reasoning types, including Recency Bias, Hasty Generalization, and Anecdotal, with Ambiguity (Equivocation) as the most egregious example at 20.5% saturation with 109 hits. Analysis detected 709 faulty-reasoning hits from 532 analyzed words, generating a BS Score of 45.2% and a BS Rank of 40% (13,135 of 21,887 articles). This article is better (less manipulative) than 60.00% of the article peer group.

After practice at the Knicks’ Tarrytown training facility on Sunday, Knicks head coach Mike Brown praised All-Star center Karl-Anthony Towns’ defensive effort in New York’s Game 1 victory over the Atlanta Hawks on Saturday. 
The compliments, however, came with a caveat: Brown believes Towns has the capacity to defend like this on a night-in and night-out basis. 
“When KAT wants to, he can be a really, really good defender, especially at his size, he can cause some problems,” Brown said Sunday afternoon. 
“I’ve kind of said it all year long: It’s a matter of whether or not he wants to do it that night. 
And as of late, he’s been really good on that end of the floor. 
 
Towns got off to a slow start to open the Knicks’ first-round playoff series but ultimately finished with 25 points, eight rebounds and four assists in 33 minutes of action on Saturday. 
The scoring was expected against an undersized (at center) Hawks team also missing backup Jock Landale with an ankle injury. 
Towns averaged 28 points over the seven regular-season games played against Atlanta since his arrival in New York in the trade with the Minnesota Timberwolves. 
The defense, however, has been relatively now. 
Towns, for all of his offensive greatness, has been largely inconsistent on the defensive end for the entirety of his decorated NBA career. 
On Saturday, he recorded three blocks and a steal. 
The three blocks tied a Knicks career-high. 
Towns recorded his first block just before halftime, chasing Atlanta’s Nickeil Alexander-Walker down for a rejection of his driving layup attempt. 
He blocked Onyeka Okongwu’s jump-hook attempt two minutes into the third quarter and blocked Alexander-Walker, again, with two minutes left in the period. 
On Saturday, many of Towns’ impactful plays did not reflect on the stat sheet. 
“I even told him today [during practice]: I said your pick-and-roll defense was at a pretty high level,” Brown said on Sunday. 
“And that’s something that we need for him to continue to do.” 
The uptick in defensive awareness has been a positive development, not just in the playoffs, but a trend that began in the latter stretch of the regular season as the Knicks found a rhythm over the final month and a half. 
Towns recorded either a steal, a block or both in four of the Knicks’ final six regular-season games. 
He is averaging 0.9 steals and 0.5 blocks in his second year in New York. 
After ceding 31 second-quarter points, the Knicks held the Hawks to just 19 in the third. 
“Our transition defense was better. 
Our ability to defend their small-small pick and roll was better. 
And then our ability to keep them off the glass during that time was a lot better and allowed us to go out and run and attack them in transition,” said Brown. 
“So that’s something that we have to do while communicating for as close to 48 minutes as possible, because Atlanta is a good team and they can hurt you in a lot of different ways if you’re not present or in the moment every single possession.” 
Article reasoning-pattern comparisonThis article: 9.0%Kristian Winfield: 4.1%newyorkdailynews: 3.2%Confirmation Bias9.0%This article: 0.0%Kristian Winfield: 0.3%newyorkdailynews: 0.8%Anchoring Bias0.0%This article: 3.8%Kristian Winfield: 2.9%newyorkdailynews: 3.4%Availability Heuristic3.8%This article: 7.1%Kristian Winfield: 1.1%newyorkdailynews: 1.1%Representativeness Heuristic7.1%This article: 0.0%Kristian Winfield: 2.5%newyorkdailynews: 1.0%Hindsight Bias0.0%This article: 0.0%Kristian Winfield: 2.2%newyorkdailynews: 1.3%Overconfidence Bias0.0%This article: 2.6%Kristian Winfield: 4.4%newyorkdailynews: 6.1%Framing Effect2.6%This article: 6.0%Kristian Winfield: 0.8%newyorkdailynews: 0.4%Loss Aversion6.0%This article: 4.1%Kristian Winfield: 0.3%newyorkdailynews: 0.5%Status Quo Bias4.1%This article: 0.0%Kristian Winfield: 0.6%newyorkdailynews: 0.2%Sunk Cost Effect0.0%This article: 7.0%Kristian Winfield: 6.7%newyorkdailynews: 2.8%Optimism Bias7.0%This article: 0.0%Kristian Winfield: 0.9%newyorkdailynews: 1.2%Pessimism Bias0.0%This article: 1.3%Kristian Winfield: 6.8%newyorkdailynews: 9.8%Negativity Bias1.3%This article: 3.0%Kristian Winfield: 2.1%newyorkdailynews: 1.5%Self-Serving Bias3.0%This article: 0.0%Kristian Winfield: 1.4%newyorkdailynews: 1.5%Fundamental Attribution Error0.0%This article: 0.0%Kristian Winfield: 0.3%newyorkdailynews: 0.3%Actor-Observer Bias0.0%This article: 0.0%Kristian Winfield: 3.7%newyorkdailynews: 1.3%In-Group Bias0.0%This article: 0.0%Kristian Winfield: 0.4%newyorkdailynews: 0.4%Out-Group Homogeneity Bias0.0%This article: 5.6%Kristian Winfield: 5.6%newyorkdailynews: 3.9%Halo Effect5.6%This article: 0.0%Kristian Winfield: 0.2%newyorkdailynews: 0.5%Horn Effect0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.0%Dunning-Kruger Effect0.0%This article: 14.7%Kristian Winfield: 4.7%newyorkdailynews: 1.4%Recency Bias14.7%This article: 0.0%Kristian Winfield: 0.6%newyorkdailynews: 0.4%Primacy Effect0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kristian Winfield: 0.5%newyorkdailynews: 1.2%Ad Hominem0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.2%Straw Man0.0%This article: 2.6%Kristian Winfield: 2.5%newyorkdailynews: 3.2%Appeal to Authority2.6%This article: 0.0%Kristian Winfield: 1.4%newyorkdailynews: 1.1%False Dilemma0.0%This article: 0.0%Kristian Winfield: 0.5%newyorkdailynews: 0.4%Slippery Slope0.0%This article: 3.9%Kristian Winfield: 0.5%newyorkdailynews: 0.1%Circular Reasoning3.9%This article: 13.9%Kristian Winfield: 4.9%newyorkdailynews: 4.1%Hasty Generalization13.9%This article: 0.0%Kristian Winfield: 0.1%newyorkdailynews: 0.3%Red Herring0.0%This article: 0.0%Kristian Winfield: 0.4%newyorkdailynews: 0.4%Bandwagon0.0%This article: 6.0%Kristian Winfield: 5.2%newyorkdailynews: 7.4%Appeal to Emotion6.0%This article: 0.0%Kristian Winfield: 0.5%newyorkdailynews: 0.6%Begging the Question0.0%This article: 2.1%Kristian Winfield: 3.4%newyorkdailynews: 3.4%Post Hoc (False Cause)2.1%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.1%Tu Quoque0.0%This article: 0.0%Kristian Winfield: 0.1%newyorkdailynews: 0.5%Burden of Proof0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.2%Appeal to Nature0.0%This article: 0.0%Kristian Winfield: 0.3%newyorkdailynews: 0.2%Composition/Division0.0%This article: 9.6%Kristian Winfield: 2.6%newyorkdailynews: 2.6%Anecdotal9.6%This article: 0.0%Kristian Winfield: 0.2%newyorkdailynews: 0.1%No True Scotsman0.0%This article: 20.5%Kristian Winfield: 2.2%newyorkdailynews: 1.6%Ambiguity (Equivocation)20.5%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kristian Winfield: 0.1%newyorkdailynews: 0.1%Middle Ground0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.1%Personal Incredulity0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.1%Special Pleading0.0%This article: 0.0%Kristian Winfield: 0.1%newyorkdailynews: 0.1%Genetic Fallacy0.0%This article: 0.0%Kristian Winfield: 1.0%newyorkdailynews: 2.1%Unattributed Quote0.0%This article: 0.0%Kristian Winfield: 0.6%newyorkdailynews: 1.1%Quote-first Misdirection0.0%This article: 4.3%Kristian Winfield: 15.4%newyorkdailynews: 6.7%Biased Writer Voice4.3%This article: 6.0%Kristian Winfield: 1.1%newyorkdailynews: 3.9%Indoctrination6.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.8%Politically Left Leaning Bias0.0%This article: 0.0%Kristian Winfield: 0.0%newyorkdailynews: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Kristian Winfield: 0.2%newyorkdailynews: 0.6%Attempt to Sell a Product or S…0.0%

532 words analyzed.

Speakers

1speaker37%attributed speech334writer words
Voice mapSelect a segment to jump to its words
Mike Brown • 14 words • 0.0% coverageWriter's voice • 34 words • 0.0% coverageMike Brown • 23 words • 100.0% coverageMike Brown • 25 words • 0.0% coverageMike Brown • 22 words • 0.0% coverageMike Brown • 14 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageMike Brown • 14 words • 0.0% coverageMike Brown • 22 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageMike Brown • 16 words • 0.0% coverageMike Brown • 5 words • 0.0% coverageMike Brown • 11 words • 0.0% coverageMike Brown • 32 words • 100.0% coverageWriter's voice • 46 words • 0.0% coverage
Selected voice

Mike Brown

100%flagged-word coverage
198 attributed words100% of attributed speech59% writer coverage
0%10.0%20.0%Indoctrination+16.2 ptsWriter: 0.0%Mike Brown: 16.2%16.2%Biased Writer Voice+11.6 ptsWriter: 0.0%Mike Brown: 11.6%11.6%

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.