Neil Swidey Interview, plus links to author biography, book summaries, excerpts and reviews

Neil Swidey
Photo: Denise Drower Swidey

Neil Swidey

An interview with Neil Swidey

Neil Swidey discusses Trapped Under the Sea: One Engineering Marvel, Five Men, and a Disaster Ten Miles Into the Darkness

What inspired you to write "Trapped Under the Sea"?

Swidey: I'm fascinated by how the world works. In this story, I saw a rare opportunity to explore how the infrastructure supporting modern life gets built, and the usually anonymous workers who take on enormous risk to make it possible. The fact that the narrative would be populated by a group of the most compelling and surprising real-life characters I've ever encountered made the decision a no-brainer for me. It was a pleasure to spend time with these guys, and an honor to share their important story that might otherwise have been lost to history.

Give us an elevator pitch as to why the man on the street should pick up Trapped Under the Sea?

Swidey: Can I subcontract that job out to the great Dennis Lehane? He puts it this way: "Trapped Under the Sea is extraordinary. It bears comparison with The Perfect Storm in its brilliant evocation of everyday, working class men thrust into a harrowing, at times heroic confrontation with death and disaster."

If it takes an extra minute for the elevator doors to open, I'd also point out that, in this case, the perfect storm takes place underneath the ocean rather than on top of it. And in addition to telling the searing drama of those working class men, the book explores the forces that lead really smart people to make really bad decisions that require guys in hard hats to bail them out.

Can you give us a brief synopsis of the story?

Swidey: Trapped Under the Sea tells the true story of a team of five commercial divers sent on an unimaginable mission to the end of the world's longest tunnel of its kind. It was a nearly 10-mile-long sewer tunnel but it had yet to be filled. Divers had been chosen for the job because they know how to do dangerous work in situations where they have to bring in their own air. And by the time they were sent into that tunnel, it had no light, no oxygen, and at the end, not even enough room to stand up straight. The environment was so utterly remote that they might as well have been working on the surface of the moon. It's just that the lunar landscape they faced was inside the Earth rather than orbiting it.

The divers' job was to rescue the multi-billion-dollar cleanup of Boston Harbor, which transformed the nation's filthiest urban harbor into its cleanest. But they had been called in only because the best and the brightest minds behind the massive cleanup project couldn't get along. Their years of bickering led to brinkmanship, which led to the Hail Mary pass of calling in the dive team. Five divers went in, but not all of them came out.

Who was your favorite character in the book?

Swidey: Man, that's a hard question to answer. I found myself caring deeply about each of the five divers as well as many of the other real-life characters in the book. But two of the divers made me laugh the most. DJ was a ladies' man and a player and a guy who's told enough barstool stories to learn how to keep his audience rapt. I recount one of his best girlfriend stories in the book, detailing the weekend when he hooked up with an attractive blond-haired woman on a Friday night, an attractive black-haired woman on Saturday night, and didn't learn until Sunday afternoon that they were sisters. I had to track down both sisters in order to fact-check that anecdote, and it made for some sensitive conversations. But everything held up!

Then there was Hoss, a fast-moving, quick-witted diver who always kept a wad of Copenhagen Chew under his lip. The divers had been brought on the job only after other workers had spent nearly a decade building the tunnel – twice as long as anticipated. So when a key piece of the divers' equipment got damaged and caused a delay, one of these veteran tunnel workers had reacted with exasperation, asking the divers, "How long is it going to take to fix it?" Hoss hadn't missed a beat in putting the guy in his place. "Well, I'll tell you what," he said, smiling with a bulging wad of chew. "It ain't gonna take nine years."

And for a book whose early chapters are dominated by men, the characters who play the biggest roles in figuring out what had actually gone wrong turned out to be women – a pair of fascinating and completely different women.

What is the one thing that people least appreciate about the job of being a diver?

Swidey: Take that image we all have of divers – scuba-diving in the bathwater-warm Caribbean Sea, enjoying the sight of a rainbow of flora and fauna – get it out of your mind. Commercial divers are construction workers who do their jobs underwater. They're asked to perform tasks that would seem daunting on dry land, yet they have to do it under often deplorable conditions, not just in water that is hundreds of feet deep but often in water that is fetid and has zero visibility. This is nobody's vacation.

In your view, what does this book say about public-private partnerships?

Swidey: That as a society, we are still capable of overcoming the most seemingly insurmountable hurdles to improve the public good. Twenty-five years ago, when George H.W. Bush was leading reporters around disgusting Boston Harbor to embarrass his presidential opponent, Massachusetts Governor Michael Dukakis, no one could have imagined the sparkling showpiece that Boston's most famous body of water would be today.

And a public-private partnership made that possible, bringing together leading figures in engineering, construction, and public policy. Still, the book shows that just because you bring this top talent together to tackle a huge task doesn't guarantee that you're going to get a good result. These massive undertakings often introduce powerful forces – such as clashing egos and legal fears that create a C.Y.A., finger-pointing culture – which have to be managed properly. Otherwise, those forces can end up producing the kind of catastrophic outcome seen in this story where workers were asked to assume enormous and unfair personal risk simply because these best-and-brightest minds couldn't get along.

What are the takeaways from this project in context of struggles with the Obamacare rollout and other major government-led projects?

Swidey: When there's a massive failure with a large-scale undertaking, the natural impulse is to look for the single, giant mistake that is to blame. Most of the time, however, it's actually a series of small mistakes that are responsible. None of them on their own would have been enough to cause a significant problem. Taken together, however, they become fatal. Disaster strikes when the holes in the Swiss cheese line up.

You can see this alignment of holes in the forensic audits of major system failures, from the Obamacare rollout to the BP oil spill. What's scarier to think about is how often there might be no more than one thin layer of cheese protecting complex enterprises from turning into catastrophes.

With a less litigious/complex regulatory structure, in your view would much of the inertia in this project have been overcome more quickly, or were the engineering challenges alone enough to cause major delays?

Swidey: There's no denying the engineering challenges were formidable. But I'm convinced that if the various parties hadn't become so distrustful of one another by the end of the project, and so overly concerned with legal exposure and determined to offload risk onto other parties, that they would have been able to solve this final problem in a safe and creative manner. In fact, after the disaster in the tunnel that claimed some of the divers' lives, the various parties did exactly that. They took money off the table, suspended the finger-pointing, and managed to figure out a solution that worked brilliantly, although that solution had been possible only because of the sacrifice the divers had already made.

One of the takeaways you mention is that you were taken by how these complex projects often fall on a handful of average individuals. Speak a little bit to that.

Swidey: As designers and engineers push the limits of the possible, there is a natural inclination to think that this kind of grand infrastructure is built on paper – or at least on computer screens. But nothing grand is built on paper. It's built by real workers, using real equipment, and facing real danger. In this project, what happened is people at all levels didn't pay enough attention to what they would be asking these real workers – the small team of divers – to do.

I'm gratified that multiple people who were key players in this story told me their thinking was changed after reading the book. It made them wish they had stopped to think more before signing off on this diver mission. They were only too happy to view these divers as almost stock characters, Navy SEAL-type closers who were going to swoop in and get them out of a jam. But if they had thought more about them as real people, with real families, they would have likely thought twice before dispatching them on such a dangerous mission with a set-up that wasn't fully thought out.

A focus of the book is on non-combat PTSD. Can you talk a little bit about this? Is this something employers and employees are conscious of as being a real issue?

Swidey: An estimated 24 million Americans – or about 8 percent of the population – will suffer PTSD during their lifetime, and many of those will never see a battlefield. They may be victims of sexual abuse or urban violence or some kind of horrific tragedy, as was the surviving divers from "Trapped Under the Sea." Yet with the disorder still yoked to combat veterans in most people's minds, it becomes harder to identify and treat PTSD, especially when the victims themselves resist the label. That's what happened with the surviving divers, who believed that the label should be reserved for members of the military. They felt it would be offensive to compare themselves with the soldiers fighting in Fallujah.

PTSD can be a crippling illness that often tears apart families, destroys careers, and creates a trail of addiction. So employers and employees have to get a lot better at being able to spot it and get victims effective treatment. And what we've learned is that there's no effective, one-size-fits-all treatment. Just as victims often respond differently to trauma, so too is there often great variation in the kinds of treatment victims respond best to.

The PTSD experts that I consulted during my research were fascinated by this tunnel tragedy because they said it provided a valuable and highly unusual window for showing the protean nature of PTSD. Three divers had been exposed to the same hideous trauma inside that tunnel, yet each one had responded to it in profoundly different ways.

Did the regulatory agencies under whose jurisdiction this project unfolded express any remorse for the time/cost involved due to the rules they were enforcing?

Swidey: From a regulatory enforcement standpoint, it's hard to look at this story as anything other than an abject failure on the part of OSHA. As I show in the book, the contractors had met with officials for the federal workplace safety agency well in advance, to explain the experimental breathing system they'd be giving the divers for the tunnel mission. And those OSHA officials raised no objections to the plan, despite the fact that it obviously violated the agency's tunnel ventilation requirements. This deeply flawed plan should have been stopped in its tracks right there, but OSHA failed to do that. Yet after the diver deaths, OSHA cited and fined the contractors and subcontractors in large part for having violated the OSHA regs on ventilation, without even acknowledging the agency's role in allowing that awful plan to go forward. This failure by OSHA ended up complicating the ability of prosecutors to bring parties responsible for the diver deaths to justice.

What would you like readers to take away from this book?

Swidey: In a word, appreciation. Appreciation for the marvels that are all around us – the towers that kiss the sky, the bridges that connect lands, the tunnels that bring us water and take away our waste.

And appreciation for the usually anonymous workers who take on such enormous risk to make all this all possible.


This interview first appeared at The Blaze and is reproduced with permission of the publisher, Random House.

Unless otherwise stated, this interview was conducted at the time the book was first published, and is reproduced with permission of the publisher. This interview may not be reproduced or reprinted without permission in writing from the copyright holder.

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Trapped Under the Sea jacket
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Read-Alikes

All the books below are recommended as read-alikes for Neil Swidey but some maybe more relevant to you than others depending on which books by the author you have read and enjoyed. So look for the suggested read-alikes by title linked on the right.
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    Dave Eggers grew up near Chicago and graduated from the University of Illinois at Urbana-Champaign. He is the founder of McSweeney's, an independent publishing house in San Francisco that produces books, a quarterly ... (more)

    If you enjoyed:
    Trapped Under the Sea

    Try:
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    Sheri Fink

    Sheri Fink's reporting has won the Pulitzer Prize, the National Magazine Award, and the Overseas Press Club Lowell Thomas Award, among other journalism prizes. Her coverage of Hurricanes Sandy and Isaac received the Mike ... (more)

    If you enjoyed:
    Trapped Under the Sea

    Try:
    Five Days at Memorial
    by Sheri Fink

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	WHERE 		a.arc_obc_flag = 1
	AND			a.arc_active_flag = 0
	AND 		arc_closed_flag = 1
	AND 		getdate() >= arc_on_ad_dt
	AND 		getdate() < arc_off_ad_dt
	ORDER BY  	NEWID()
get_recent_obc (Datasource=bookbrowse_com_new, Time=13ms, Records=4) in /root/website/queries/qry_get_active_obc.cfm @ 05:11:50.050
SELECT 		a.arc_forumidfk, a.discourse_flag, a.arc_promo_text,
				b.ezine_preview_number, b.ezine_preview_title, b.ezine_preview_subtitle, b.ezine_preview_jacket_image, b.ezine_preview_author, b.ezine_preview_jacket_desc, b.ezine_preview_publisher, ezine_preview_publish_dt, ezine_preview_number_of_pages,  ezine_preview_isbn, ezine_preview_short_summary,
	            b.ezine_preview_bb_author_link, ezine_preview_bb_link,
	            c.book_reading_guide
	
	FROM 		arcs a
	INNER JOIN 	ezine_previews b ON b.ezine_preview_number = a.ezine_preview_number
	LEFT JOIN  	books c on c.book_number = b.ezine_preview_bb_link
	
	WHERE a.arc_number IN (select top 4 arc_number
							from		arcs
							WHERE 		arc_obc_flag = 1
							AND			arc_active_flag = 0
							AND 		arc_closed_flag = 1
							AND 		getdate() > arc_off_ad_dt
							ORDER BY	arc_on_ad_dt DESC)
	ORDER BY  	NEWID()
get_books_by_author_id (Datasource=bookbrowse_com_new, Time=12ms, Records=1) in /root/website/queries/qry_get_books_by_author_id_lite.cfm @ 05:11:50.050
select	a.book_number, a.book_title, a.book_sub_title, book_short_summary,
				(CASE WHEN f.edition_publish_dt < g.edition_publish_dt OR g.edition_publish_dt IS NULL THEN f.edition_publish_dt
                      ELSE g.edition_publish_dt 
                      END) "publish_dt"
		
        from 	books a
		inner join book_author_mapping e ON e.book_number = a.book_number
        inner join authors d ON d.author_number = e.author_number
        left outer join editions f ON a.book_number = f.book_number and f.edition_paperback_flag = 0 
   		left outer join editions g ON a.book_number = g.book_number and g.edition_paperback_flag = 1 
		
       	where 	d.author_number = ?
        and 	a.book_number IN (	select	distinct b.book_number 
        							from	categories a, category_book_mapping b 
                                    where 	a.category_number = b.category_number 
                                    and 	a.category_active_flag = 1)

		order by publish_dt DESC
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 2436

get_author_by_author_id (Datasource=bookbrowse_com_new, Time=7ms, Records=1) in /root/website/queries/qry_get_books_by_author_id_lite.cfm @ 05:11:50.050
select	d.author_number, d.author_first_name, d.author_middle_initial, d.author_last_name, d.author_pronunciation,
				i.author_info_number, i.author_number, i.author_info_image, i.author_info_entry_dt,
                i.author_info_url, i.author_info_interview_summary, i.author_info_interview, i.author_info_biography, i.author_info_copyright_info
                		
        from 	authors d, author_info i
		
        where 	d.author_number = ?
        and 	d.author_number = i.author_number
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 2436

get_all_books_by_author_id (Datasource=bookbrowse_com_new, Time=12ms, Records=1) in /root/website/queries/qry_get_all_books_by_author_id.cfm @ 05:11:50.050
select	a.book_number, 
        		'' AS ezine_preview_number,
                a.book_title, 
                a.book_sub_title, 
				(CASE WHEN f.edition_publish_dt < g.edition_publish_dt OR g.edition_publish_dt IS NULL THEN f.edition_publish_dt
                      ELSE g.edition_publish_dt 
                      END) "publish_dt",
                '' as "jacket"
		
        from 	books a
		inner join book_author_mapping e ON e.book_number = a.book_number
        inner join authors d ON d.author_number = e.author_number
		left outer join editions f ON a.book_number = f.book_number and f.edition_paperback_flag = 0
		left outer join editions g ON a.book_number = g.book_number and g.edition_paperback_flag = 1
		
        where 	d.author_number = ?
        and 	a.book_number IN (	select	distinct b.book_number 
        							from	categories a, category_book_mapping b 
                                    where 	a.category_number = b.category_number 
                                    and 	a.category_active_flag = 1)        
        UNION

		select	'' AS book_number,
        		ezine_preview_number, 
				ezine_preview_title AS "book_title", 
				ezine_preview_subtitle AS "book_sub_title",
                ezine_preview_publish_dt AS "publish_dt",
                ezine_preview_jacket_image as "jacket"
		
        from 	ezine_previews
		
        where 	ezine_preview_bb_author_link = ?
        and		ezine_preview_bb_link < 1
        
        order by publish_dt DESC
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 2436
Parameter #2(CF_SQL_INTEGER) = 2436

get_bb_briefs_by_author (Datasource=bookbrowse_com_new, Time=4ms, Records=0) in /root/website/queries/qry_get_bb_briefs_by_author.cfm @ 05:11:50.050
select	ezine_preview_number, 
				ezine_preview_title, 
				ezine_preview_subtitle,
                ezine_preview_publish_dt ,
                ezine_preview_jacket_image
		
        from 	ezine_previews
		
        where 	ezine_preview_bb_author_link = ?
        and		(ezine_preview_bb_link IS NULL
				 or ezine_preview_bb_link < 1)
        and		ezine_number > 0
        
		order by ezine_preview_publish_dt DESC
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 2436

get_author_readalikes_by_id (Datasource=bookbrowse_com_new, Time=6ms, Records=5) in /root/website/queries/qry_get_author_readalikes_by_id.cfm @ 05:11:50.050
SELECT		a.author_number,
			CASE	WHEN datalength(a.author_middle_initial) > 0 
					THEN a.author_first_name + ' ' + a.author_middle_initial + ' ' + a.author_last_name
					ELSE a.author_first_name + ' ' + a.author_last_name
					END AS "author_full_name",
			b.book_number, 
			f.book_title as "book",

			CASE	WHEN datalength(e.author_middle_initial) > 0 
					THEN e.author_first_name + ' ' + e.author_middle_initial + ' ' + e.author_last_name
					ELSE e.author_first_name + ' ' + e.author_last_name
					END AS "liked_author_full_name",
			e.author_number as "liked_author_number", 
			g.book_title as "liked_book",
			c.liked_book_number as "liked_book_number" 

FROM		authors a
INNER JOIN	book_author_mapping b ON b.author_number = a.author_number
INNER JOIN	liked c ON c.book_number = b.book_number
INNER JOIN	book_author_mapping d ON d.book_number = c.liked_book_number
INNER JOIN	authors e ON e.author_number = d.author_number
INNER JOIN	books f on f.book_number = b.book_number
INNER JOIN	books g on g.book_number = c.liked_book_number

WHERE		a.author_number = ?

ORDER BY 	e.author_last_name, e.author_first_name
Query Parameter Value(s) -
Parameter #1(cf_sql_integer) = 2436

get_ads (Datasource=bookbrowse_com_new, Time=11ms, Records=0) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT		a.adid,	adweight
	FROM		adsystem a
	INNER JOIN 	ad_category_mapping b ON b.adid = a.adid
	WHERE		a.section = ?
	AND			a.active  = 1
	AND 		a.start_date <= GETDATE()
	
	AND (a.viewby LIKE '%n%' OR a.viewby = 'all')
            

	AND     (b.category_number IN (	SELECT	category_number
									FROM	category_book_mapping
									WHERE	book_number = ?)
      		OR 	b.category_number = ?)
Query Parameter Value(s) -
Parameter #1(CF_SQL_VARCHAR) = adzone2
Parameter #2(CF_SQL_VARCHAR) = 0
Parameter #3(CF_SQL_VARCHAR) = 0

get_ads (Datasource=bookbrowse_com_new, Time=11ms, Records=0) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT	a.adid,	adweight
        FROM	adsystem a
        WHERE	a.section = ? 
        AND 	a.active  = 1 
        AND		a.start_date <= GETDATE()	
        
        AND (a.viewby LIKE '%n%' OR a.viewby = 'all')
        AND (select count(*) from ad_category_mapping where datalength(category_number) >= 1 and adid = a.adid) = 0
Query Parameter Value(s) -
Parameter #1(CF_SQL_VARCHAR) = adzone2

get_member_account_types (Datasource=bookbrowse_com_new, Time=16ms, Records=2) in /root/website/queries/qry_get_member_account_types.cfm @ 05:11:50.050
select member_account_type_number, member_account_type_name, member_account_type_charge, member_account_type_charge_frequency, member_account_type_postscript, member_account_type_months, member_account_type_stripe_lookup_key
from member_account_types
where member_account_type_number = (select top 1 member_account_type_number
									from member_account_types
									where member_account_type_months = 12
									and member_account_type_public = 1
									order by member_account_type_charge ASC)
									
or member_account_type_number =		(select top 1 member_account_type_number
									from member_account_types
									where member_account_type_months = 3
									and member_account_type_public = 1
									order by member_account_type_charge ASC)
									
order by member_account_type_sort_order ASC
get_book_image (Datasource=bookbrowse_com_new, Time=12ms, Records=1) in /root/website/actions/udfs.cfm @ 05:11:50.050
select 	f.edition_publish_dt "hardcover_publish_dt", f.edition_jacket_image "hardcover_jacket_image", 
            g.edition_publish_dt "paperback_publish_dt", g.edition_jacket_image "paperback_jacket_image"
    
    from   	books a
	left join editions f on a.book_number = f.book_number and f.edition_paperback_flag = 0
	left join editions g on a.book_number = g.book_number and g.edition_paperback_flag = 1
                    
    where 	a.book_number = ?
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 3022

get_member_account_types (Datasource=bookbrowse_com_new, Time=10ms, Records=2) in /root/website/queries/qry_get_member_account_types.cfm @ 05:11:50.050
select member_account_type_number, member_account_type_name, member_account_type_charge, member_account_type_charge_frequency, member_account_type_postscript, member_account_type_months, member_account_type_stripe_lookup_key
from member_account_types
where member_account_type_number = (select top 1 member_account_type_number
									from member_account_types
									where member_account_type_months = 12
									and member_account_type_public = 1
									order by member_account_type_charge ASC)
									
or member_account_type_number =		(select top 1 member_account_type_number
									from member_account_types
									where member_account_type_months = 3
									and member_account_type_public = 1
									order by member_account_type_charge ASC)
									
order by member_account_type_sort_order ASC
get_books_by_author_id (Datasource=bookbrowse_com_new, Time=44ms, Records=3) in /root/website/queries/qry_get_books_by_author_id.cfm @ 05:11:50.050
select	a.book_number, 
				a.book_title, 
				(CASE WHEN UPPER(LEFT(a.book_title, 2)) = 'A ' THEN SUBSTRING(a.book_title, 3, len(a.book_title) - 2) WHEN UPPER(LEFT(a.book_title, 3)) = 'AN ' THEN SUBSTRING(a.book_title, 4, len(a.book_title) - 3) WHEN UPPER(LEFT(a.book_title, 4)) = 'THE ' THEN SUBSTRING(a.book_title, 5, len(a.book_title) - 4) ELSE a.book_title END) "sort_book_title", 
				a.book_sub_title, 
				a.book_entry_dt, 
				a.book_short_summary, 
				a.book_jacket_info, 
                a.book_excerpt, 
                a.book_reading_guide,
				d.author_number, d.author_first_name, d.author_middle_initial, d.author_last_name, 
				f.edition_publish_dt "hardcover_publish_dt", f.edition_number_of_pages "hardcover_number_of_pages", f.edition_isbn "hardcover_isbn", f.edition_isbn13 "hardcover_isbn13",f.edition_jacket_image "hardcover_jacket_image",
				g.edition_publish_dt "paperback_publish_dt", g.edition_number_of_pages "paperback_number_of_pages", g.edition_isbn "paperback_isbn", g.edition_isbn13 "paperback_isbn13",g.edition_jacket_image "paperback_jacket_image",
				i.author_info_biography, i.author_info_interview, i.author_info_image, i.author_info_url,
                (select count(c.book_number) as "author_bookcount" from book_author_mapping c where c.author_number = ?) + (select count(e.ezine_preview_number) as "author_bookcount" from ezine_previews e where e.ezine_preview_bb_author_link = ?) as "authorbookcount"
                
		    from books a
            inner join book_author_mapping e ON a.book_number = e.book_number
            inner join authors d ON e.author_number = d.author_number
            inner join author_info i ON d.author_number = i.author_number
            left outer join editions f ON a.book_number = f.book_number and f.edition_paperback_flag = 0
            left outer join editions g ON a.book_number = g.book_number and g.edition_paperback_flag = 1
                        
            where e.author_number = ?
            and a.book_number IN (select distinct b.book_number from categories a, category_book_mapping b where a.category_number = b.category_number and a.category_active_flag = 1)
			
            order by sort_book_title
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 213
Parameter #2(CF_SQL_INTEGER) = 213
Parameter #3(CF_SQL_INTEGER) = 213

get_author_by_author_id (Datasource=bookbrowse_com_new, Time=11ms, Records=1) in /root/website/queries/qry_get_books_by_author_id.cfm @ 05:11:50.050
select	d.author_number, d.author_first_name, d.author_middle_initial, d.author_last_name, d.author_pronunciation,
                CASE	WHEN datalength(d.author_middle_initial) > 0 
                        THEN d.author_first_name + ' ' + d.author_middle_initial + ' ' + d.author_last_name
                        ELSE d.author_first_name + ' ' + d.author_last_name
                        END AS "author_full_name",
				i.author_info_number, i.author_number, i.author_info_image, i.author_info_entry_dt,
                i.author_info_url, i.author_info_interview_summary, i.author_info_interview, i.author_info_biography, i.author_info_copyright_info
                		
        from 	authors d, author_info i
		
        where 	d.author_number = ?
        and 	d.author_number = i.author_number
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 213

get_books_by_author_id (Datasource=bookbrowse_com_new, Time=28ms, Records=1) in /root/website/queries/qry_get_books_by_author_id.cfm @ 05:11:50.050
select	a.book_number, 
				a.book_title, 
				(CASE WHEN UPPER(LEFT(a.book_title, 2)) = 'A ' THEN SUBSTRING(a.book_title, 3, len(a.book_title) - 2) WHEN UPPER(LEFT(a.book_title, 3)) = 'AN ' THEN SUBSTRING(a.book_title, 4, len(a.book_title) - 3) WHEN UPPER(LEFT(a.book_title, 4)) = 'THE ' THEN SUBSTRING(a.book_title, 5, len(a.book_title) - 4) ELSE a.book_title END) "sort_book_title", 
				a.book_sub_title, 
				a.book_entry_dt, 
				a.book_short_summary, 
				a.book_jacket_info, 
                a.book_excerpt, 
                a.book_reading_guide,
				d.author_number, d.author_first_name, d.author_middle_initial, d.author_last_name, 
				f.edition_publish_dt "hardcover_publish_dt", f.edition_number_of_pages "hardcover_number_of_pages", f.edition_isbn "hardcover_isbn", f.edition_isbn13 "hardcover_isbn13",f.edition_jacket_image "hardcover_jacket_image",
				g.edition_publish_dt "paperback_publish_dt", g.edition_number_of_pages "paperback_number_of_pages", g.edition_isbn "paperback_isbn", g.edition_isbn13 "paperback_isbn13",g.edition_jacket_image "paperback_jacket_image",
				i.author_info_biography, i.author_info_interview, i.author_info_image, i.author_info_url,
                (select count(c.book_number) as "author_bookcount" from book_author_mapping c where c.author_number = ?) + (select count(e.ezine_preview_number) as "author_bookcount" from ezine_previews e where e.ezine_preview_bb_author_link = ?) as "authorbookcount"
                
		    from books a
            inner join book_author_mapping e ON a.book_number = e.book_number
            inner join authors d ON e.author_number = d.author_number
            inner join author_info i ON d.author_number = i.author_number
            left outer join editions f ON a.book_number = f.book_number and f.edition_paperback_flag = 0
            left outer join editions g ON a.book_number = g.book_number and g.edition_paperback_flag = 1
                        
            where e.author_number = ?
            and a.book_number IN (select distinct b.book_number from categories a, category_book_mapping b where a.category_number = b.category_number and a.category_active_flag = 1)
			
            order by sort_book_title
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 2363
Parameter #2(CF_SQL_INTEGER) = 2363
Parameter #3(CF_SQL_INTEGER) = 2363

get_author_by_author_id (Datasource=bookbrowse_com_new, Time=15ms, Records=1) in /root/website/queries/qry_get_books_by_author_id.cfm @ 05:11:50.050
select	d.author_number, d.author_first_name, d.author_middle_initial, d.author_last_name, d.author_pronunciation,
                CASE	WHEN datalength(d.author_middle_initial) > 0 
                        THEN d.author_first_name + ' ' + d.author_middle_initial + ' ' + d.author_last_name
                        ELSE d.author_first_name + ' ' + d.author_last_name
                        END AS "author_full_name",
				i.author_info_number, i.author_number, i.author_info_image, i.author_info_entry_dt,
                i.author_info_url, i.author_info_interview_summary, i.author_info_interview, i.author_info_biography, i.author_info_copyright_info
                		
        from 	authors d, author_info i
		
        where 	d.author_number = ?
        and 	d.author_number = i.author_number
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 2363

get_member_account_types (Datasource=bookbrowse_com_new, Time=16ms, Records=2) in /root/website/queries/qry_get_member_account_types.cfm @ 05:11:50.050
select member_account_type_number, member_account_type_name, member_account_type_charge, member_account_type_charge_frequency, member_account_type_postscript, member_account_type_months, member_account_type_stripe_lookup_key
from member_account_types
where member_account_type_number = (select top 1 member_account_type_number
									from member_account_types
									where member_account_type_months = 12
									and member_account_type_public = 1
									order by member_account_type_charge ASC)
									
or member_account_type_number =		(select top 1 member_account_type_number
									from member_account_types
									where member_account_type_months = 3
									and member_account_type_public = 1
									order by member_account_type_charge ASC)
									
order by member_account_type_sort_order ASC
get_arcs_for_ad (Datasource=bookbrowse_com_new, Time=9ms, Records=0) in /root/website/queries/qry_get_arcs_for_ad.cfm @ 05:11:50.050
SELECT 	top 10 a.arc_number,arc_promo_text,
		b.ezine_preview_number, b.ezine_preview_title, b.ezine_preview_subtitle, b.ezine_preview_jacket_image, b.ezine_preview_author, b.ezine_preview_publish_dt, 
		(select (CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,0))) AS numeric(12,0)))+
				(CASE WHEN right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) > 25 AND right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) < 50 THEN 0.5
				 WHEN right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) > 50 AND right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) < 75 THEN -0.5
				 ELSE 0
				 END)
 			from arc_allocator	where arc_number = a.arc_number and arc_allocator_review_approved_flag = 1) AS arcrating

FROM arcs a
INNER JOIN ezine_previews b ON b.ezine_preview_number = a.ezine_preview_number

WHERE arc_closed_flag = 1
AND arc_obc_flag = 0
AND getdate() >= arc_on_ad_dt
AND (select count(*) from arc_allocator d where d.arc_number = a.arc_number and arc_allocator_review_approved_flag = 1) > 1
and getdate() <= dateadd(day,1,a.arc_off_ad_dt)

ORDER BY NEWID()
get_arcs_for_ad (Datasource=bookbrowse_com_new, Time=38ms, Records=3) in /root/website/queries/qry_get_arcs_for_ad.cfm @ 05:11:50.050
SELECT 	top 3 a.arc_number,arc_promo_text,
			b.ezine_preview_number, b.ezine_preview_title, b.ezine_preview_subtitle, b.ezine_preview_jacket_image, b.ezine_preview_author, b.ezine_preview_publish_dt, 
			(select (CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,0))) AS numeric(12,0)))+
					(CASE WHEN right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) > 25 AND right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) < 50 THEN 0.5
					 WHEN right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) > 50 AND right(CAST(AVG(CAST(arc_allocator_review_rating AS numeric(12,2))) AS numeric(12,2)),2) < 75 THEN -0.5
					 ELSE 0
					 END)
				from arc_allocator	where arc_number = a.arc_number and arc_allocator_review_approved_flag = 1) AS arcrating

	FROM arcs a
	INNER JOIN ezine_previews b ON b.ezine_preview_number = a.ezine_preview_number

	WHERE arc_closed_flag = 1
	AND arc_obc_flag = 0
	AND getdate() >= arc_on_ad_dt
	AND (select count(*) from arc_allocator d where d.arc_number = a.arc_number and arc_allocator_review_approved_flag = 1) > 1

	ORDER BY a.arc_off_ad_dt DESC
get_ads (Datasource=bookbrowse_com_new, Time=29ms, Records=0) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT		a.adid,	adweight
	FROM		adsystem a
	INNER JOIN 	ad_category_mapping b ON b.adid = a.adid
	WHERE		a.section = ?
	AND			a.active  = 1
	AND 		a.start_date <= GETDATE()
	
	AND (a.viewby LIKE '%n%' OR a.viewby = 'all')
            

	AND     (b.category_number IN (	SELECT	category_number
									FROM	category_book_mapping
									WHERE	book_number = ?)
      		OR 	b.category_number = ?)
Query Parameter Value(s) -
Parameter #1(CF_SQL_VARCHAR) = adzone6
Parameter #2(CF_SQL_VARCHAR) = 0
Parameter #3(CF_SQL_VARCHAR) = 0

get_ads (Datasource=bookbrowse_com_new, Time=11ms, Records=1) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT	a.adid,	adweight
        FROM	adsystem a
        WHERE	a.section = ? 
        AND 	a.active  = 1 
        AND		a.start_date <= GETDATE()	
        
        AND (a.viewby LIKE '%n%' OR a.viewby = 'all')
        AND (select count(*) from ad_category_mapping where datalength(category_number) >= 1 and adid = a.adid) = 0
Query Parameter Value(s) -
Parameter #1(CF_SQL_VARCHAR) = adzone6

get_type (Datasource=bookbrowse_com_new, Time=16ms, Records=1) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT	a.start_date, a.adid, a.end_date, a.camp_views, a.image_name, a.alt_text, a.views, a.code, a.adsize
        FROM	adsystem a
        WHERE	a.adid = ?
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 1112

get_quotes (Datasource=bookbrowse_com_new, Time=10ms, Records=1) in /root/website/site/blocks/dsp_book_giveaway.cfm @ 05:11:50.050
select top 1 ezine_number, ezine_quote, ezine_quote_title
	    from ezines
	    where len(ezine_quote_title) > 1
	    order by newid()
get_free_newsletters (Datasource=bookbrowse_com_new, Time=0ms, Records=4, Cached Query) in /root/website/queries/qry_get_free_newsletters.cfm @ 05:11:50.050
SELECT 	*
    FROM 	free_newsletters
get_ads (Datasource=bookbrowse_com_new, Time=10ms, Records=0) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT		a.adid,	adweight
	FROM		adsystem a
	INNER JOIN 	ad_category_mapping b ON b.adid = a.adid
	WHERE		a.section = ?
	AND			a.active  = 1
	AND 		a.start_date <= GETDATE()
		 	AND a.adid NOT IN (?) 
	AND (a.viewby LIKE '%n%' OR a.viewby = 'all')
            

	AND     (b.category_number IN (	SELECT	category_number
									FROM	category_book_mapping
									WHERE	book_number = ?)
      		OR 	b.category_number = ?)
Query Parameter Value(s) -
Parameter #1(CF_SQL_VARCHAR) = showcase_track
Parameter #2(CF_SQL_INTEGER) = 1112
Parameter #3(CF_SQL_VARCHAR) = 0
Parameter #4(CF_SQL_VARCHAR) = 0

get_ads (Datasource=bookbrowse_com_new, Time=3ms, Records=1) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT	a.adid,	adweight
        FROM	adsystem a
        WHERE	a.section = ? 
        AND 	a.active  = 1 
        AND		a.start_date <= GETDATE()	
        		AND a.adid NOT IN (?) 
        AND (a.viewby LIKE '%n%' OR a.viewby = 'all')
        AND (select count(*) from ad_category_mapping where datalength(category_number) >= 1 and adid = a.adid) = 0
Query Parameter Value(s) -
Parameter #1(CF_SQL_VARCHAR) = showcase_track
Parameter #2(CF_SQL_INTEGER) = 1112

get_type (Datasource=bookbrowse_com_new, Time=11ms, Records=1) in /root/website/adsystem/adsystem_mod.cfm @ 05:11:50.050
SELECT	a.start_date, a.adid, a.end_date, a.camp_views, a.image_name, a.alt_text, a.views, a.code, a.adsize
        FROM	adsystem a
        WHERE	a.adid = ?
Query Parameter Value(s) -
Parameter #1(CF_SQL_INTEGER) = 594


Scope Variables

CGI Variables:
AUTH_PASSWORD=
AUTH_TYPE=
AUTH_USER=
CERT_COOKIE=
CERT_FLAGS=
CERT_ISSUER=
CERT_KEYSIZE=
CERT_SECRETKEYSIZE=
CERT_SERIALNUMBER=
CERT_SERVER_ISSUER=
CERT_SERVER_SUBJECT=
CERT_SUBJECT=
CF_TEMPLATE_PATH=/root/website/author_interviews/full/index.cfm
CONTENT_LENGTH=
CONTENT_TYPE=
CONTEXT_PATH=
GATEWAY_INTERFACE=
HTTPS=
HTTPS_KEYSIZE=
HTTPS_SECRETKEYSIZE=
HTTPS_SERVER_ISSUER=
HTTPS_SERVER_SUBJECT=
HTTP_ACCEPT=*/*
HTTP_ACCEPT_ENCODING=gzip, br, zstd, deflate
HTTP_ACCEPT_LANGUAGE=
HTTP_CONNECTION=upgrade
HTTP_COOKIE=CFCLIENT_BOOKBROWSE=order%3Dp%23member%5Fnumber%3D0%23member%5Factive%5Fflag%3D0%23member%5Flogged%5Fin%5Fflag%3D0%23library%5Fuser%5Fflag%3D0%23view%3Dbooks%23; CFGLOBALS=urltoken%3DCFID%23%3D4089052%26CFTOKEN%23%3D679dd9868598d7ae%2D0FF1D2F7%2D9C6F%2DF24E%2DE3A444D2A52E5F3F%23lastvisit%3D%7Bts%20%272026%2D06%2D01%2005%3A11%3A50%27%7D%23hitcount%3D110%23timecreated%3D%7Bts%20%272026%2D06%2D01%2005%3A11%3A34%27%7D%23cftoken%3D679dd9868598d7ae%2D0FF1D2F7%2D9C6F%2DF24E%2DE3A444D2A52E5F3F%23cfid%3D4089052%23; CFTOKEN=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F; CFID=4089052; FREEACCESSCOUNT=0
HTTP_HOST=dev.bookbrowse.com
HTTP_REFERER=
HTTP_URL=
HTTP_USER_AGENT=Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
LOCAL_ADDR=127.0.0.1
PATH_INFO=/author_number/2436/neil-swidey
PATH_TRANSLATED=/root/website/author_interviews/full/index.cfm
QUERY_STRING=
REMOTE_ADDR=127.0.0.1
REMOTE_HOST=127.0.0.1
REMOTE_USER=
REQUEST_METHOD=GET
SCRIPT_NAME=/author_interviews/full/index.cfm
SERVER_NAME=dev.bookbrowse.com
SERVER_PORT=8500
SERVER_PORT_SECURE=0
SERVER_PROTOCOL=HTTP/1.1
SERVER_SOFTWARE=
WEB_SERVER_API=
Client Variables:
cfid=4089052
cftoken=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F
hitcount=113
lastvisit={ts '2026-06-01 05:11:50'}
library_user_flag=0
member_active_flag=0
member_logged_in_flag=0
member_number=0
order=p
timecreated={ts '2026-06-01 05:11:34'}
urltoken=CFID=4089052&CFTOKEN=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F
view=books
Cookie Variables:
CFCLIENT_BOOKBROWSE=order=p#member_number=0#member_active_flag=0#member_logged_in_flag=0#library_user_flag=0#view=books#
CFGLOBALS=urltoken=CFID#=4089052&CFTOKEN#=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F#lastvisit={ts '2026-06-01 05:11:50'}#hitcount=110#timecreated={ts '2026-06-01 05:11:34'}#cftoken=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F#cfid=4089052#
CFID=4089052
CFTOKEN=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F
FREEACCESSCOUNT=0
Session Variables:
cfid=4089052
cftoken=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F
sessionid=BOOKBROWSE_4089052_679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F
urltoken=CFID=4089052&CFTOKEN=679dd9868598d7ae-0FF1D2F7-9C6F-F24E-E3A444D2A52E5F3F
URL Parameters:
author_number=2436
neil-swidey=
Debug Rendering Time: 82 ms